DR. BALAKRUSHNA TRIPATHY

List of Research Publications (loading...)

Journals

A. Bhandari, B. K. Tripathy, A. Adate, R. Saxena and T. R. Gadekallu: From Beginning to BEGANing: Role of Adversarial Learning in Reshaping Generative Models, Electronics, Special Issue on Artificial Intelligence Technologies, and Applications, (2023), 12(1), 155; https://doi.org/10.3390/electronics12010155 (IF. 2 .69).
R. K. Mohanty and B. K. Tripathy: A New Approach to Hyper Soft Sets and Their Applications in Decision Making, Research & reviews: Discrete Mathematical Structures, vol.9, issue 2, (2022). ISSN: 2394-1979, pp.1-10.
B. K. Tripathy, Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Thippa Reddy Gadekallu, Kapal Dev , Sharnil Pandya and Basem M. ElHalawany: Harris Hawk Optimization: A Survey on Variants and Applications, Computational Intelligence and Neuroscience, Volume 2023, Article ID 2218594, 20 pages. DOI: 10.1155/2022/2218594 (IF: 3.120).
A. Bhandari,B. K. Tripathy , K. Jawad , S. Bhatia , M. K. I. Rahmani and A. Mash: Cancer Detection and Prediction Using Genetic Algorithms, Computational Intelligence and Neuroscience, Volume 2022, 18 pages https://doi.org/10.1155/2022/1871841 (IF: 3.120)
Jha, V.V., Jajoo, K.S., Tripathy, B. K. Saleem Durai, M. A.: An improved monarch butterfly optimization based multivariate fuzzy time series approach for forecasting GDP of India. Evolutionary Intelligence (2022). https://doi.org/10.1007/s12065-021-00686-8 (IF: 2.33).
Satin Jain, Udit Singhania, B.K. Tripathy, Emad Abouel Nasr, Mohamed K. Aboudaif and Ali K. Kamrani: Deep Learning based Transfer Learning for Classification of Skin Cancer, Sensors (Basel), 2021 Dec 6;21(23):8142, doi: 10.3390/s21238142, (IF: 4.35)
Singhania, U., Tripathy, B., Hasan, M.K., ...Ahmed, T.E., Nour, M.M.M: A Predictive and Preventive Model for Onset of Alzheimer's Disease, Frontiers in Public Health, (2021), 9, 751536 (IF: 3.7)
Anmol Agrawal, B.K. Tripathy, Ramkumar T.: An Improved Fuzzy Adaptive Firefly Algorithm based Hybrid Clustering Algorithms, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, (2021). (IF: 1.51)
G Divya Zion and B K Tripathy: A Survey on Frequent Pattern Mining, In Uncertain Big Data, Design Engineering, issue 7, (2021), pp. 3983-4013. (IF: 1.47)
R.K. Mohanty and B. K. Tripathy: Recommending turmeric variety for higher production using interval valued fuzzy soft set model and PSO, Special issue on Applications of Intelligent Decision Support systems using particle swarm optimization, International journal of swarm intelligence research, IGI global publications, vol. 12, issue 2, (2021), pp. 94-110.
A. Jayaram Reddy and B. K. Tripathy: Topological Properties of Multigranular Rough sets on Intuitionistic Fuzzy Approximation Spaces, International Journal of Intelligent Enterprise, 8(1), (2021) pp.1-17. (IF: 0.61)
Ranichandra, C., Tripathy, B.K.: Architecture for distributed query processing using the RDF data in cloud environment. Evolutionary Intelligence, 14, 567–575 (2021), https://doi.org/10.1007/s12065-019-00315-5 (IF: 2.33)
B. K. Tripathy and A. Goyal: A Neighbourhood Rough Set Based Clustering Algorithm and its Applications, Computer Reviews Journal, Vol. 8 (2020), pp.20-34
Srividya V, B. K. Tripathy, Neha Akhtar, and Aditi Katiyar4: AgentG: A user friendly and engaging bot to chat for e-commerce lovers, Computer Reviews Journal, Vol 7, (2020) , pp.7-19.
A. P. Shaha, S. S. Mohan, B. K. Tripathy, G. Srivastava, M. Bilal and L. Nkenyereye: Performance Prediction and Interpretation of a Refuse Plastic Fuel Fired Boiler, in IEEE Access, vol. 8, pp. 117467-117482, 2020, doi: 10.1109/ACCESS.2020.3004156 (IF: 4.09).
K. Sharmila Banu and B. K. Tripathy: Clustering mixed data using neighbourhood rough sets, International Journal of Advanced Intelligence Paradigms, Vol.15 (1), pp.1 – 16, (2020). DOI: 10.1504/IJAIP.2020.104103
Voggu Suman Venkata Sai, Yuvraj Singh Champawat and B.K Tripathy: Recommendation System Based on Text Analysis, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Volume-8 Issue-9, July 2019, pp.2351- 2354.
B. K Tripathy and Anmol Agrawal: Efficiency Analysis of Hybrid Fuzzy C-Means Clustering Algorithms and their Application to Compute the Severity of Disease in Plant Leaves, Computer Reviews Journal, (2019), Vol.3, pp.156-169.
B. K. Tripathy, Anmol Agrawal, A. and Jayaram Reddy: A Comparative Analysis of Firefly and Fuzzy-Firefly based Kernelized Hybrid C-Means Algorithms, International Journal of Intelligent Systems and Applications, (2019), Vol.11, no.6, pp.49-68.
Kaushick Parui and B. K. Tripathy: Diabetic Retinopathy Detection and Segmentation Using Colour Image Segmentation, Computer Review Journal, Vol.4, (2019), pp. 90-103.
B. K. Tripathy, Suvendu kumar Parida and Sudam Charan Parida: Topological Properties of Multigranular Rough sets on Fuzzy Approximation Spaces, International Journal of Rough Sets and Data Analysis, Volume 6, Issue 2, April-June (2019), pp. 1-18.
Baktha, K., & Tripathy, B. K. (2018).: Alpha Anonymization in Social Networks using the Lossy-Join Approach. Trans. Data Priv., 11(1), 1-22. ISSN: 1888-5063; ISSN (Digital): 2013-1631 (IF: 2.5)
B.K. Tripathy and R. R. Mohanty: Covering based pessimistic multigranular approximate rough equalities and their properties, International Journal of Rough Sets and Data Analysis (IJRSDA), vol. 5, issue 1, 2018, pp.58-78.
Ria Elin Thomas, Sharmila K, Banu and B. K. Tripathy: Image anonymization using clustering with Pixelization, International Journal of Engineering & Technology, vol.7 (2.33), (2018), pp. 990-993.
A. Jayaram Reddy and B. K. Tripathy: Analyzing Gene Expression Data By Using Crfm-Covering Rough Set Fuzzy C-Medoids Clustering Approach, Journal of Web Engineering, Vol. 17, No.6 (2018), pp.2744-2756 (IF: 0.36)
C. Ranichandra and B. K. Tripathy: Adaptive mechanism for distributed query processing and data loading using the RDF data in cloud, International Journal of Communication Systems, (2018) (Impact Factor: 1.01).
C. Ranichandra and B. K. Tripathy: Optimisation of APARQL queries over the RDF data in the cloud environment, Accepted for publication in the International Journal of Advanced Intelligence Paradigms, Inder Science Publishers Ltd., (2018).
B. K. Tripathy and Rahul: Fuzzy Clustering of Sequential Data, International Journal of Intelligent Systems and applications, MECS publishers, vol.11, no.1, (2018), pp.43-54.
B.K. Tripathy, Urmi Bhambani: On multigranular rough sets on fuzzy approximation spaces and application to rain prediction, International Journal of Intelligent Systems and applications, 10, no.11, (2018), pp. 76-90.
B.K. Tripathy, Sooraj, T. R.: Optimization of seed selection for higher product using Interval valued Hesitant Fuzzy Soft Sets, Songklanakarin Journal of Science and Technology (SJST), 40 (5), Sep. -Oct. 2018, (2018), pp.1125-1135.
A. Jayaram Reddy and B. K. Tripathy: Covering Rough Set Fuzzy C- Medoids (Crfm) Clustering Algorithm For Gene Expression Data, Journal of Advanced Research in Dynamical and Control Systems, vol.9, sp-14, (2017), pp.1702-1714.
B.K. Tripathy, S. Chinta: Kernalized rough sets based clustering algorithms fused with firefly algorithm for image segmentation, Accepted for publication in the International Journal of Fuzzy Sets and Applications, IGI publications, (2017).
B.K. Tripathy, A. Goyal and Rahul Chowdhury: Clustering hybrid data using a neighborhood rough set based algorithm and expounding its applications, accepted for publication in the International Journal of Fuzzy Sets and Applications, IGI publications, (2017).
B.K. Tripathy and Zion, D.: Handling Non Communicable Disease Using Predictive Analysis of Data Mining Techniques, Helix: The Scientific Explorer, vol. 7 (5), (2017), pp. 2034-2040.
B. K. Tripathy, Raju, H. and Kaul, D.: Comparative Analysis of Pure and Hybrid Machine Learning Algorithms for Risk Prediction of Diabetes Mellitus, Helix: The Scientific Explorer, vol. 7 (5), (2017), pp. 2029-2033.
B.K. Tripathy and Sooraj, T. R.: An Interval Valued Fuzzy Soft set Based Optimization Algorithm for High Yielding Seed Selection, Accepted for publication in the International Journal of Fuzzy Sets and Applications, IGI publications, (2017).
B.K. Tripathy, Sooraj, T. R., Mohanty, R. K. and Panigrahi, A.: Group Decision Making through Interval Valued Intuitionistic Fuzzy Soft Sets, Accepted for publication in the International Journal of Fuzzy Sets and Applications, IGI publications, (2017).
Saptarshi Chakraborty, BK Tripathy: Privacy preservation in relational data through l-diversity and recursive (c, l) diversity anonymisation, International Journal of Mathematical Modelling and Numerical Optimisation, 2017, 7(3-4), pp.338-362.
B.K. Tripathy, A. Goyal, Rahul Chowdhury and Patra Anupam Sourav: MMeMeR: An Algorithm for Clustering Heterogeneous Data using Rough Set Theory, I.J. Intelligent Systems and Applications, (2017), vol.9 (8), pp. 25-33
K. Sharmila Banu and B. K. Tripathy: Exploring Incidence-Prevalence Patterns in Spatial epidemiology via Neighborhood Rough Sets, International Journal of Healthcare Information Systems and Informatics 12(1), January (2017), pp.30-43.
C. Ranichandra and B. K. Tripathy: A study on Non Java Options for MapReduce programming with Hadoop, Asian Journal of Information Technology, 15 (16), (2016), pp.2999-3003.
K. Sharmila Banu and B. K. Tripathy: Data analytics in spatial epidemiology: A survey, Jurnal technology, vol.78, no.10, October (2016), pp.159-165.
Deepthi, P. H. and B. K. Tripathy: Application of Spatial IFCM in Leukaemia Cells, the IIOAB journal, 7(5), pp.30-40 (2016).
B.K. Tripathy, Abhilash Namdev: Scalable Rough C-Means clustering using Firefly algorithm, International Journal of Computer Science and Business Informatics, ISSN: 1694-2108 | Vol. 16, No. 2, pp. 1-14 (2016)
P. Prabhavathy, B.K. Tripathy: Sequential clustering: A Study on Covering Based Rough Set Theory, Research Journal of Pharmaceutical, Biological and Chemical Sciences, Volume 7, Issue 2, 2016, pp. 1799-1807. (IF: 0.426)
M. Panda, A. Abraham and B.K. Tripathy: Soft granular computing based classification using hybrid fuzzy-KNN-SVM, Intelligent Decision Technologies, Volume 10, Issue 2, 1 March 2016, pp. 115-128. (IF: 1.075)
P. Prabhavathy, B.K. Tripathy: Covering rough clustering approach for unstructured activity analysis, International Journal of Intelligent Information Technologies, Volume 12, Issue 2, April-June 2016, pp. 1-
B. K. Tripathy and D. Mittal: Hadoop based uncertain possibilistic kernelized c-means algorithms for image segmentation and a comparative analysis, Applied Soft Computing, 46, (2016), pp.886-923. (IF: 7.873)
B.K. Tripathy and V. R. Raghuveer: Affinity-based learning object retrieval in an e-learning environment using evolutionary learner profile, Knowledge Management and E-Learning, Volume 8, Issue 1, March 2016, pp. 182-199. (IF: 1.672)
B.K. Tripathy, A. Goyal, P.A Sourav: A comparative analysis of rough intuitionistic fuzzy k-mode algorithm for clustering categorical data, Research Journal of Pharmaceutical, Biological and Chemical Sciences Volume 7, Issue 5, September-October 2016, Pp. 2787-2802. (IF: 0.426)
P. Prabhavathy, B.K. Tripathy and V.M. Sundaram: Covering based refined rough K-means algorithm, Research Journal of Pharmaceutical, Biological and Chemical Sciences, Volume 7, Issue 5, September-October 2016, Pp. 2142-2151. (IF: 0.426)
S. Chakraborty, B.K. Tripathy: Alpha-anonymization techniques for privacy preservation in social networks, Social Network Analysis and Mining, Volume 6, Issue 1, 1 December 2016, Article number 29. (IF: 2.27)
Prabu S., B. K. Tripathy, Swarnalatha P., Ramakrishnan R and Manthira M. S: An Anaglyph Approach of Geometric Correction for Depth Reconstruction of Satellite Imagery, the IIOAB journal, 7(5), pp.95-107 (2016).
Deepthi, P. H. and B. K. Tripathy: Kernel Based Spatial Fuzzy C-Means for Image Segmentation, the IIOAB journal, 7(5), (2016), pp.150-156.
P. Swarnalatha and B.K. Tripathy: Analysis of Depth Using Clustering Techniques with Bit Plane Filter for Satellite Imagery, the IIOAB journal, 7(5), pp.108-125 (2016).
S. Chakraborty and B.K. Tripathy: Privacy Preserving Anonymisation of Social Networks using Eigen vector Centrality Approach, Intelligent Data Analysis, Volume 20, Issue 3, 20 April 2016, pp. 543-560. (Impact Factor: 0.5)
B.K. Tripathy and S. C. Parida: Covering Based Optimistic Multigranular Rough Equalities and Their Properties, International Journal of Intelligent Systems and Applications, MECS publishers, 8 (6), (2016), pp.70-79.
B.K. Tripathy and S. C. Parida: Covering Based Pessimistic Multigranular Rough Equalities and their Properties, International Journal of Information Technology and Computer Science, 8(4), (2016), pp.52-62.
Sagar, Ap., Pooja Mehta, J. Anuradha, B.K. Tripathy: Genome Sequence Analysis in Distributed Computing using Spark, International Journal of Knowledge Discovery in Bioinformatics, Volume 5(2), (2015), pp.30-42.
B.K. Tripathy and P. Swarnalatha: Depth Computation and Analysis for Satellite Images using Clustering Techniques with Bit Plane Filter, Accepted for publication in IJEE, (2015).
B.K. Tripathy, J. Anuradha and A. Sinha: Hybrid Clustering algorithm using Possibilistic Rough C-means, International journal of Pharma and Bio-informatics, vol.6, issue 4, (2015), pp.799-810.
B.K. Tripathy and Sharmila Banu, K.: Soft Computing Techniques for Categorical Data Analysis on Bio-informatics, International journal of Pharma and Bio-informatics, vol.6, issue 4, (2015), pp.642-646.
B.K. Tripathy, Shruthi Hiremath, Pallavi Chandra and Anne Mary Joy: Neighbourhood rough set model for knowledge acquisition using MapReduce, Int. J. Communication Networks and Distributed Systems, Vol. 15, Nos. 2/3, 2015, pp.212-234.
S. Chakraborty, J. G. Ambooken, B. K. Tripathy and Swarnalatha P.: Analysis and Performance Enhancement to Achieve Recursive (c, l) Diversity Anonymization in Social Networks, Transactions On Data Privacy 8 (2015), pp.173-215.
B.K. Tripathy, S.K. Sahu, K.K. Barik and M.V.N. Prasad: Study on Remote Sensing Data Classification Using Statistical Techniques, Universe of Emerging Technologies and Science, Volume II, Issue V – May 2015, pp.1-6.
B.K. Tripathy, S.K. Sahu and M.V.N. Prasad: PCA Classification Technique of Remote Sensing Analysis of Colour Composite Image of Chillika Lagoon, Odisha, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 5, May 2015, pp.513-518.
B.K. Tripathy, S.K. Sahu and M.V.N. Prasad: Geospatial Analysis of Coastal Environment: A Case Study on Bhitarkanika Mangroves, Odisha, East Coast Of India By Using Supervised Digital Classification Method, International Journal of Computer Science and Communication Networks, vol.5, issue 2, (2015) pp. 160-165.
B.K. Tripathy and G. Sasikumar: Classification and Analysis of EEG Brain Signals for Finding Epilepsy Risk Levels Using SVM, World Applied Sciences Journal, 33 (4), (2015), pp. 631-639. (Impact Factor: 0.29)
B.K. Tripathy and G. Sasikumar: Performance Enhancement for Automated Analysis in Human Brain Signal Processing to find Alzheimer’s syndrome using Intelligent techniques, IIOAB journal, Special issue on Applications of Soft Computational Approaches in Bioinformatics, vol.6, issue 4, (2015), pp.43-49.
B.K. Tripathy and P. Prabhavathy: An Integrated Covering based Rough Fuzzy set Clustering Approach for Sequential data, Accepted for publication in IJRIS, Inder Science, (2015)
B.K. Tripathy and P. Prabhavathy: Tuned Hybrid Soft Clustering Algorithm for Uncertain Information System, IIOAB journal, Inder Science Publications, Special issue on Applications of Soft Computational Approaches in Bioinformatics, vol.6, issue 4 (2015), pp.55-69.
B.K. Tripathy and M. Nagaraju: Approximate Equalities for Covering Based Optimistic Multi Granular Rough Sets and Their Properties, IIOAB journal, Special issue on Applications of Soft Computational Approaches in Bioinformatics, vol.6, issue 4, (2015), pp.77-97.
B.K. Tripathy and K. R. Arun: A new approach to soft sets, soft multisets and their properties, International Journal of Reasoning-based Intelligent Systems, (2015), Vol. 7 No.3/4, pp.244 – 253. (IF: 0.37)
B.K. Tripathy and P. Prabhavathy: An integrated covering-based rough fuzzy set clustering approach for sequential data, International Journal of Reasoning-based Intelligent Systems, vol. 7 No.3/4, (2015), pp.296-304. (IF: 0.37)
B.K. Tripathy and M. Nagaraju: Study of Covering Based Multi Granular Rough Sets and their Topological Properties, I.J. Information Technology and Computer Science, 08, (2015), pp. 61-67.
B.K. Tripathy, S. Khandelwal and M.K. Satapathy: A Bag Theoretic Approach towards the Count of an Intuitionistic Fuzzy Set, International Journal of Intelligent Systems and Applications, IJISA, 09(05), 2015, pp.16-23.
B.K. Tripathy and V.R. Raghuveer: On demand analysis of learning experiences for adaptive content retrieval in an eLearning environment, Journal of e-Learning and Knowledge Society, Italy, vol.11, no.1, (2015), pp.139-156. (IF: 1.131).
B.K. Tripathy and P. Swarnalatha: A Comparative analysis of Depth computation of Leukemia Images using a refined Bit Plane and Uncertainty based clustering Techniques, Cybernetics and Information Technologies, vol.15, no.1, (2015), pp.126- 146.
Swathi J. N., Rajen, B. B., Ilango, P., Khalid M and Tripathy B.K: Induction of fuzzy decision trees and its refinement using gradient projected Neuro fuzzy decision tree, International Journal of advanced intelligence paradigms, vol.6, no.4, (2014), pp.346-369.
Anuradha & B.K. Tripathy, 2015. ": An optimal rough fuzzy clustering algorithm using particle swarm optimisation," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 7(4), pages 257-275
B.K. Tripathy, R. Rawat, V. Divya Rani and S.C.Parida: Approximate Reasoning through Multigranular Approximate Rough Equalities, IJISA, vol.6, no.8, (2014), pp. 69-76.
B.K. Tripathy and J. Anuradha: Hierarchical Clustering Algorithm based on Attribute Dependency for Attention Deficit Hyperactive Disorder, International Journal of Intelligent Systems and Applications (IJISA), vol.6, no.6, (2014), pp.37-45.
B.K. Tripathy and P. Swarnalatha: A Comparative Study of RIFCM with Other Related Algorithms from Their Suitability in Analysis of Satellite Images using Other Supporting Techniques, Kybernetes, vol.43, no.1, (2014), pp. 53-81 (IF:0.980)
B.K. Tripathy, S.K. Sahu and M.V.N. Prasad: A Support Vector Machine Binary Classification and Image Segmentation of Remote Sensing Data of Chillika Lagoon, International Journal of Research in Information Technology, Volume 1, Issue 1, January 2013, pp.1-17.
B.K. Tripathy and P. Swarnalatha: Depth Computation using bit plane with clustering techniques for satellite images, International journal of earth sciences and engineering, vol.6, no.1,(2013), ISSN: 0974-5904, pp. (IF:0.103)
B.K. Tripathy, S.P. Jena and S.K. Ghosh: An Intuitionistic fuzzy count and cardinality of Intuitionistic fuzzy sets, Malaya Journal of Matematik, 4(1), (2013), pp. 123–133.
B.K. Tripathy and P. Prabhavathy: An Efficient Rough Set Approach in Querying Covering Based Relational Databases, International Journal of Computer Science and Business Informatics, Vol. 1, No. 1, (2013), pp.1-15.
B.K. Tripathy, A. Sharma, P. Natarajan, P. Swarnalatha, A. Lakkshmanan and N. Krishnan: Image Transformation using Modified K-means clustering algorithm for Parallel saliency map, IJET, vol.3, no.5, (2013), pp.347-353.
B.K. Tripathy, G. Singh, S. Kakanai and P. Swarnalatha: Convex Hull Based WBC Computation for Leukemia Detection, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, Issue 5, May (2013), pp.1843-1847.
B. N. Patra, S. Dash and B. K. Tripathy: Neural Techniques for Improving the Classification Accuracy of Microarray Data Set using Rough Set Feature Selection Method, International Journal of Computer Trends and Technology (IJCTT), Vol. 4, Issue3, 2013, Page No. 424-429, ISSN : 2231-2803
B.K. Tripathy, M.K. Satapathy and P.K. Choudhury: Intuitionistic Fuzzy Lattices and Intuitionistic Fuzzy Boolean Algebras, IJET, vol.5, no.3, (2013), pp.2352-2361.
B.K. Tripathy and K.Govindarajulu: Data mining a kidney failure data set using Rough Sets, International Journal of Electronics and Computer Science Engineering, vol.2, no.3, (2013), pp.949-954.
B.K. Tripathy and A.Mitra: On Approximate Equivalences of Multigranular Rough Sets and Approximate Reasoning, I.J. Information Technology and Computer Science,10(5), (2013), pp.103-113.
B.K. Tripathy and R. Raghavan: Some Algebraic properties of Multigranulations and an Analysis of multigranular approximations of classifications, I.J. Information Technology and Computer Science, vol.7, (2013),pp. 63-70.
B.K. Tripathy and R. Raghavan: On Some Comparison properties of rough set based multigranulations and types of multigranular approximations of classifications, International Journal of Intelligent Systems and Applications, vol.6, (2013), pp.70-77.
B.K. Tripathy and A. Maiti: Remote Laboratories: Design of Experiments and Their Web Implementation, Journal of Educational Technology and Society, 16 (3), (2013), pp.220–233. (Impact Factor: 1.17)
B.K. Tripathy and V. Raghuveer: An Object Oriented Approach to Improve the Precision of Learning Object retrieval in a Self-Learning Environment, International Journal of E-learning and Learning Objects, vol.8, (2013), pp.193-214.
B.K. Tripathy, K. Kumaran, M. Sumaithri and T. Swathi: Effective Rule Induction using Incremental Approach for a Dynamic Information System, Proceedings of 3rd International Conference On Electronics Computer Technology (IJCTE), (2013), pp.308-312, 10.1109/ICECTECH.2011.5941761
S. Dash, B. N. Patra and B. K. Tripathy: Study of Classification Accuracy of Microarray Data for Cancer Classification using Multivariate and Hybrid Feature Selection Method, International Organization of Scientific Research Journal of Engineering (IOSRJEN), Vol. 2, Issue 8, August 2012, Page No. 112-119, ISSN: 2250-3021 (Online), ISSN : 2278-8719 (Print).
B.K. Tripathy, A. Jayaram Reddy, Manusha, G.V. and G.S. Mohisin: An efficient algorithm for anonymisation of set-valued data and representation using FP-Tree, International Journal of Advanced Information Technology (IJAIT), Vol.2, No.5, October 2012, pp.1-14.
B.K. Tripathy and S.S.Gantayat: On the implementation of Data Structures through Theory of Lists, International Journal of Information Technology Convergence and Services (IJITCS), Vol.2, No.4, August (2012), pp.35-45.
B.K. Tripathy and M. Nagaraju: A comparative analysis of multigranular Approaches and on topological properties of Incomplete Pessimistic Multigranular Rough Fuzzy Sets, International Journal of Intelligent Systems and Applications, (2012), vol.11, pp.99-109.
B.K. Tripathy and A. Maiti: Different Platforms for Remote Laboratories in Mobile Devices, Int. Jour. Modern Education and Computer Science, (2012), 5, pp.38-45
B.K. Tripathy and M. Nagaraju: Topological Properties of Pessimistic Multigranular Rough Fuzzy Sets, Int. Jour. of Intelligent Systems and Applications, vol. 8, (2012), pp.10-17.
B.K. Tripathy and G. Sasikumar: Design and Implementation of Face Recognition System in Mat lab Using the Features of Lips, Int. Jour. of Intelligent Systems and Applications, vol. 8, (2012),
B.K. Tripathy and A. Maiti: Applying Colored-Graph Isomorphism for Electrical Circuit Matching in Circuit Repository, International Journal of Computer Science Issues (IJCSI), Volume 9, Issue 3, May 2012. ( IF: 0.242)
B.K. Tripathy, P.V.S.S.R. Chandramoulli and B. Ranajit: A New approach for Fingerprint recognition using Earth Mover’s Distance, International Journal of Advanced Research in Computer Science (IJARCS), Vol 3, Issue 3, May2012, Page223.
B.K. Tripathy and M.K. Satapathy: Rough Lattices and Rough Boolean Algebra, Mathematical Sciences, International Research Journal, Vol.1, no.1, (2012), pp.63-78.
S. Dash, B. N. Patra and B. K. Tripathy: International Journal of Information Engineering and Electronic Business (IJIEEB), Vol.4, No.2, April 2012, Page No.43-50, ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online).
B.K. Tripathy and G.K. Panda: Approximate Equalities on Rough Intuitionistic Fuzzy Sets and an Analysis of Approximate Equalities, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 2, No 3, March 2012, pp.371-380.
B.K. Tripathy and P. Swarnalatha: A Centroid Model for the Depth Assessment of Images using Rough Fuzzy Set Techniques, International Journal of Intelligent Systems and Applications (IJISA), 3, (2012), pp.20-26.
B.K. Tripathy, D. P. Acharjya: Approximation of classification and measures of uncertainty in rough set on two universes, International journal of Advances in Science and Technology, vol.40, (2012), pp 77-90.
B.K. Tripathy, G.K. Panda and A.Mitra: Incomplete Multigranulation Based on Rough Intuitionistic Fuzzy Sets, Universal Journal of Applied science and Technology (UNIASCIT), Vol.2(1), (2012), pp.118 – 124.
B.K. Tripathy and J. Anuradha: Diagnosis of Learning Disability in E – Learning Platform using ANN, International Journal of Modeling and Optimization (IJMO, ISSN: 2010-3697) (2011).
B.K. Tripathy, G.K. Panda, and K. Kumaran: A Fast l - Diversity Anonymisation Algorithm, International Journal of Modeling and Optimization (IJMO, ISSN: 2010-3697) (2011).
B.K. Tripathy and A. Maiti: Application of short message service and WAP in operating remotely triggered laboratories, IJOE, Volume 7, Issue 4, November (2011), pp.20-25.
J. Anuradha, W. Karthik, and B. K. Tripathy: Classification and rule extraction using LEM1 algorithm for diagnosis of liver disease and its types, Elixir Journal of Comp. Sci. & Engg., vol. 38 (2011), pp. 4370-4374.
B.K. Tripathy and A. Maiti: Data Handling Techniques in Online Semiconductor Technology CAD Laboratory, International Journal of Online Engineering (iJOE), vol.7, special issue 2 “REV2011”, October (2011), pp.26 – 31.
B.K. Tripathy, K. Kumaran, M. Sumaithri and T. Swathi: Effective Rule Induction using Incremental Approach for a Dynamic Information System, accepted for publication in IJCTE, (2011).
J. Anuradha, Priyadarishini, W. Karthik and B.K. Tripathy: Diagnosis of psychopathology using classification rule extraction, journal of Advances in Applied science Research, Vol.2, no.3, (2011), pp.346-362.
J. Anuradha, Priyadarishini, W. Karthik and B.K. Tripathy: Classification and rule extraction for diagnosis of lever disease and its types, journal of Advances in Applied science Research, Vol.2, no.3, (2011), pp.314-345.
B.K. Tripathy and A. Ghosh: SSDR: An Algorithm for Clustering Categorical Data Using Rough Set Theory, Advances in Applied science Research, Vol.2, no.3, (2011), pp.314-326.
B.K. Tripathy, K. Kumaran, and G.K. Panda: A Rough Set Based Efficient l-diversity Algorithm, Advances in Applied science Research, Vol.2, no.3, (2011), pp.302 -313.
B.K. Tripathy and R. Raghavan: On Some Topological Properties of Multigranular Rough Sets, Journal of Advances in Applied science Research, Vol.2, no.3, (2011), pp.536-543.
B.K. Tripathy: An Analysis of Approximate Equalities based on Rough Set Theory, International journal of Advances in Science and Technology, vol.31, June, (2011),pp.23-36.
G.K. Panda, B.K. Tripathy and S.K. Jha: Security Aspects in Mobile Cloud Social Network Services, International Journal of Electrical, Electronics and Computer Systems, Vol.2, Issue 1, May (2011), pp.1 – 10.
B.K. Tripathy and D. P. Acharjya: Association Rule Granulation using Rough Sets on Intuitionistic Fuzzy Approximation Spaces and Granular Computing, Anale Seria Informatica, Vol. IX, fasc.1- (2011), pp.125 -144.
B.K. Tripathy, D. P. Acharjya and V. Cynthia: A Framework for Intelligent Medical Diagnosis Using Rough Set with Formal Concept Analysis, International Journal of Artificial Intelligence & Applications (IJAIA), Vol.2, N0.2, April, (2011), pp.45 – 66.
G. Sasikumar and B.K. Tripathy: An Optimal Compressive Approach for the Analysis of Electroencephalogram using Artificial Neural Network, in the II issue [Volume 2 publishes on 15 April] of International Journal of Advanced Research in Computer Science [IJARCS], Publisher: News wood and International Association for Engineers. ISSN: 0976-5697, (2011),
G. Sasikumar, B.K. Tripathy and M. Priya: Study of Image Recognition using cellular associated artificial neural network, in the Volume: 2188, 1st issue of Directory of Open Access Journals on “Lecture Notes in Engineering and computer science” [DOAJ], Publisher: News wood and International Association for Engineers. ISSN: 2078-0958, EISSN: 20780966(online), (2011), pp.514 –518.
Anuradha, J., Tisha, Varun R. and Tripathy B K: Diagnosis of Learning Disability using WISC-R: A comparative study between ANN and SVM algorithm, Lecture Notes in Engineering and Computer Science, vol.2186, no.1, (2010), pp.541 – 546.
B.K. Tripathy and S. S. Gantayat: Rough Sets on Fuzzy Similarity relations and Applications to Information retrieval, Int. Jour. of Fuzzy Systems and Rough Systems (IJFSRS), January-June 2010, vol.3, issue 1, (2010), pp.5 - 13.
B.K. Tripathy and D. P. Acharjya: Knowledge Mining using ordering rules and rough sets on fuzzy approximation spaces, International journal of Advances in Science and Technology (Korea), vol.1, no.IV, (2010), pp.41-50.
B.K. Tripathy and P. Swarnalatha: A Study on Edge Detection Techniques in Retinex Based Adaptive Filter, International Journal of Computer Theory and Engineering (USA), Vol.2, No.6, (2010), ISSN: 1793-8236, pp.603-607.
B.K. Tripathy, J. Ojha, D. Mohanty and M S Prakash Kumar: On Rough Definability and Types of Approximation of Classifications, Foundations of Computing and Decision Sciences (Poland), vol.35, no.3, (2010), pp.197 – 215 (IF: 0.87).
B.K. Tripathy and S. S. Gantayat: Rough Sets on Fuzzy Similarity relations and Applications to Information retrieval, International Journal of Fuzzy Systems and Rough Systems (IJFSRS), January-June 2010, Volume 3, Issue 1, pp.1-13.
B.K. Tripathy and A. Mitra: Topological Properties of Rough Sets and their Applications, International Journal of Granular Computing, Rough Sets, and Intelligent Systems (IJGCRSIS), (Switzerland), vol.1, no.4, (2010), pp.355-369.
B.K. Tripathy and D. P. Acharjya: Rough Sets on Intuitionistic fuzzy approximation spaces and knowledge representation, Int. Jour. of Artificial Intelligence and Computational Research, Jan-June, vol.1, no.1, (2009), pp.29-36.
B.K. Tripathy and M S Prakash Kumar Ch.: MMeR: An algorithm for clustering Heterogeneous data using rough Set Theory, International Journal of Rapid Manufacturing (special issue on Data Mining) (Switzerland), vol.1, no.2, (2009), pp.189-207.
B.K. Tripathy, A.Mitra and J. Ojha: Rough Equivalence and Algebraic properties of Rough Sets, International Journal of Artificial Intelligence and Soft Computing, (Switzerland), vol.1, nos.2/3/4, (2009), pp.271- 289.
B.K. Tripathy: On the Convolution Inverses of Matrices and the Maximal Group, International Review of Pure & Appl. Mathematics, Vol.4, no.1 (2008), pp.15-24.
B.K. Tripathy and J. Ojha: Intuitionistic Fuzzy Fields, Intuitionistic Fuzzy Linear Spaces and Intuitionistic Fuzzy Algebras, International Review of Fuzzy Mathematics (Korea), vol.3, no.1, (June 2008), pp.35-45.
B.K. Tripathy, H.K. Tripathy and P.K. Das: An Intelligent approach of Rough set in Knowledge Discovery Databases, The International Jour. of comp. Sc. and Engineering., vol.2, no.1, (2008), pp.45-50.
B.K. Tripathy and D. P. Acharjya: Rough Set on Fuzzy Approximation Space and Applications to Distributed knowledge Systems, International Journal of Artificial intelligence and Soft Computing (Switzerland), vol.1, no.1, (2008).pp.1-15.
H.K. Tripathy, B.K. Tripathy, and P.K. Das: A Prospective Fuzzy Logic approach to Knowledge-based navigation of Mobile LEGO-Robot, Journal of Convergence Information Technology (U.K.), vol.3, no.1, March 31, (2008), pp.64-70.
B.K. Tripathy, H.K. Tripathy, and P.K. Das: A Knowledge based approach Using Fuzzy inference rules for vowel recognition, Journal of Convergence Information Technology (U.K.), vol.3, no.1, March 31, (2008), pp.51-56.
B.K. Tripathy and P.K. Choudhury: Fuzzy Lattices and Fuzzy Boolean Algebra, International Journal of Fuzzy Mathematics (USA), vol.16, no.1, (2008), pp.1847- 1859.
B.K. Tripathy: Rough sets on Intuitionistic fuzzy approximation spaces, Notes on Intuitionistic Fuzzy Sets, (Bulgaria), vol.12, no.1 (2006), pp.45-54.
B.K. Tripathy and S. Nanda: Fuzzy Banach Algebra, International Review of Fuzzy Mathematics (IRFM), (Korea), vol.1, no.2, (Sept. 2006), pp.179-188.
B.K. Tripathy and B.C. Tripathy: I-convergent double sequences, Soochow Journal of Mathematics, (Taiwan), 31, no.4 (Oct), 2005, pp.549-560.
B.K. Tripathy, B.C. Tripathy, and A. Esi: On a new type generalized difference Cesaro sequences spaces, Soochow Journal of Mathematics (Taiwan) 31, no.3 (July) (2005), pp.333-340.
B.K. Tripathy and G.P. Patnaik: On Some properties of lists and fuzzy lists, Information Sciences (USA), Vol.168, issues 1-4, (2004), pp.9-23. (IF: 7.89)
B.K. Tripathy and S.S.Gantayat: Some more properties of lists and fuzzy lists, Information Sciences, (USA), Vol.166, issues 1-4, (2004), pp.167-179. (IF: 7.89)
B.K. Tripathy and P.K. Choudhury: Intuitionistic Fuzzy lists, Notes on Intuitionistic Fuzzy Sets, (Bulgaria), (2003), vol. 9, no.2, pp.61-73.
B.K. Tripathy, S.K. Ghosh, and S.P. Jena: Modal Operations on Fuzzy Rough Sets, International. Jour. Math. Sc.vol.2, no.2, Dec. (2003), pp.327-336
B.K. Tripathy, S.K. Ghosh, and S.P. Jena: Intuitionistic Fuzzy Rough Sets, Notes on Intuitionistic Fuzzy Sets (Bulgaria), 8, (2002), no.1, pp.1-18.
B.K. Tripathy, S.K. Ghosh, and S.P. Jena: On the Theory of Bags and Lists, Information Sciences (USA), 132, no.1-4, (2001), pp.241-254. ( IF: 7.89)
B.K. Tripathy: Intuitionistic Fuzzy Fields, Intuitionistic Fuzzy Linear Spaces and Intuitionistic Fuzzy Algebras, Information (Japan), 4, no.4, (2001).
B.K. Tripathy, S.K. Ghosh, and S.P. Jena: On the Theory of Fuzzy Bags and Fuzzy Lists, The Jour. Fuzzy Mathematics (USA), 9, no.4, (2001), pp.1209-1220.
B.K. Tripathy and R.N. Behera: On generalized Quasi-Norlund Summability Methods, Jour. Orissa Mathematical Soc. Vo.17-20, (1998-2001), pp.75-82
B.K. Tripathy and S. Nanda: Absolute Value of Fuzzy Real Numbers and Fuzzy Sequence Spaces, The Jour. Fuzzy Mathematics (USA), 8, no.4 (2000), pp.883-892. International Fuzzy Mathematics Institute.
B.K. Tripathy: Intuitionistic Fuzzy Metric Spaces, Notes on Intuitionistic Fuzzy sets (Bulgaria), 5, no.2 (1999), pp.42-52.
B.K. Tripathy and R.N. Behera: On Strong Inclusion and Strong Regularity of Generalized Norlund Means, Jour. of Analysis, 6 (1998), pp.121-130.
B.K. Tripathy and S.K. Ghosh: Maximal group of triangular conservative matrices and bi-diagonal methods, Bulletin of the Malaysian Mathematical Society (Second Series), (Malaysia), 20, (1997), pp.121-130. (IF: 1.554)
B.K. Tripathy and S.K. Ghosh: Some Comparison Theorems on Convolution Products of Summability methods, Jour. of Analysis, 5, (1997), pp.1-8.
B.K. Tripathy and D.Mohanty: Absolute Comparison Results on Convolution Product of (N, p, q) methods, Jour. of the Orissa Mathematical Society, 12-15, (1993-1996), pp.275-285.
B.K. Tripathy: A Note on Bounded, Conservative, Linear operators and maximal group, Ind. Jour. Pure & Appl. Math., 23, no8, (1992), pp.569 –573. (IF: 1.06)
B.K. Tripathy and B. Swain: Absolute comparison theorems on the iteration product of (N, p, q) methods, Jour. Ind. Math. Soc., 56, (1991), pp. 159-172.
B.K. Tripathy and D.Mohanty: On Some Comparison and total comparison theorems in Summability, Ind. Jour. Pure & Appl. Math., 22, no. 2, (1991),pp. 143-157. (IF: 1.06)
B.K. Tripathy and D.Mohanty: Consistency and operator (N, p, q) means, Jour. of the Orissa Mathematical Society, 9, no.2, (1990), pp. 95-107.
B.K. Tripathy: Some properties of (N, p, q) methods, Jour. of the Orissa Mathematical Society, 7, no.1, (1988), pp. 1-13.
B.K. Tripathy: On the translativity and total translativity of regular matrices, Ind. Jour. Pure & Appl. Mathematics, 14, no.6, (1983), pp.733-790. (IF 1.06)
B.K. Tripathy: A note on generalized Norlund means, Ind. Jour. Pure & Appl. Mathematics, vol.13, no.12, (1982), pp. 1487-1491. (IF: 1.06)
D. Rath and B.K. Tripathy: Note on the maximal group of triangular conservative matrices, Jour. of the Orissa Mathematical Society, 1, no.1, (1981), pp. 39-47.
D. Rath and B.K. Tripathy: On some classes of regular matrices, Jour. Math. Analysis and Appl. (USA), 84, no. 2, (1981), pp. 530-533 (IF: 1.583).

International Conferences

B.K. Tripathy, S.K. Ghosh and S.P. Jena: “Intuitionistic Fuzzy Rough Sets and Interval Valued Intuitionistic L-Fuzzy sets”, Chapter 25 in “Mathematical Analysis and applications”, Narosa publishing house, New Delhi, (2004), Proceedings of the international conference on Analysis and Discrete Structures (ICADS-2002), Editors: S. Nanda and G.P. Raja Sekhar, pp.214-223.
B.K. Tripathy: “Rough sets on Intuitionistic fuzzy approximation spaces”, Proc. of the IEEE Conference on Artificial Intelligence, London, Sept. 6-8, (2006).
B.K. Tripathy and S.S. Gantayat: “Rough sets on generalized fuzzy approximation spaces”, International Conference on Multidisciplinary Information Technology (INSCIT - 2006), Spain, Oct (2006).
B.K. Tripathy and H. K. Tripathy: ”A Rough set approach for Clustering the Data Using Knowledge Discovery in World Wide Web for E-Business”, Proc. Of IEEE Int. Conf. on e-Business Engg., 24-26 Oct.,2007, Hong Kong, CHINA, pp.717-722.
B.K. Tripathy, H.K. Tripathy and P.K. Das: An Intelligent approach of Rough set in Knowledge Discovery Databases, Proc. of World academy of Science, Engg. and Tech., vol.26, Dec.2007, ISSN 1307-6884, pp.495-498.
H.K. Tripathy, B.K. Tripathy, P.K. Das and S.P. Khadanga: “Application of Parallelism SQL in Fuzzy Relational Databases”, International Conference on Computer Science and Information Technology 2008, IEEE-Computer Society, ICCSIT.2008.169, pp. 553-557.
B.K. Tripathy, A. Mitra and J. Ojha: “On Rough Equalities and Rough Equivalences of Sets”, RSCTC 2008-Akron, U.S.A., Springer-Verlag Berlin Heidelberg 2008, LNAI 5306, pp. 92–102.
B.K. Tripathy and A. Mitra: “Some topological properties of covering based rough sets”, in: Proceedings of the IEEE – International conf. on Emerging Trends in Computing (ICETiC-2009), 8-10 Jan. 09’, Virudh nagar, INDIA, pp.263-268.
B.K. Tripathy, G. K. Panda and A. Mitra: “Covering Based Rough Equality of sets and Comparison of Knowledge”, in: Proceedings of the Inter. Conf. in Mathematics and Computer Science (ICMCS 2009), 5-6 Jan. 09’, Chennai, INDIA,Vol.2, pp.438-443.
B.K. Tripathy, J. Ojha, and D. Mohanty: “On rough definability and types of approximation of classifications, IEEE-International conference, Patiala from 5-7 March, 2009.
Tripathy, B.K. and Tripathy, H.K.: Covering Based Rough equivalence of Sets and Comparison of Knowledge, IACSIT-SC '09: Proceedings of the 2009 International Association of Computer Science and Information Technology - Spring Conference, Singapore, 17-20 April 2009, and pp.303-307. Doi: 10.1109/IACSIT-SC.2009.88
B.K. Tripathy, J. Ojha, and D. Mohanty: On Rough approximations of classifications, representation of knowledge and multivalued logic, ICADABAI-2009, (2009), IIM Ahmadabad.
B.K. Tripathy and M S Prakash Kumar Ch: MMeR: An algorithm for clustering categorical data using Rough Set Theory, ICADABAI-2009, (2009), IIM Ahmadabad.
B.K. Tripathy and V.M. Patro: Covering Based Rough set approach to uncertainty management in databases, ICADABAI-2009, (2009), IIM Ahmadabad.
Tripathy B.K., Panda G.K. (2009): On Covering Based Approximations of Classifications of Sets. In: Chien BC., Hong TP., Chen SM., Ali M. (eds) Next-Generation Applied Intelligence. IEA/AIE 2009. Lecture Notes in Computer Science, vol 5579. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02568-6_79, pp.777-786.
B.K. Tripathy and G.K. Panda: On some properties of covering based approximation of classification of sets, ACM Proceedings of ICCIT2009 (Seoul, South Korea), Nov.24-26, (2009), pp.1227-1232.
B.K. Tripathy, Prakash Kumar, Ch. And D. Mohanty: On the properties of rough approximation and types of classification, Proc. Int. conf. on Rough sets, Fuzzy Sets and Soft Computing, (International Rough Set Society & Indian Society for Fuzzy Mathematics& Information Processing), Tripura Univ., Nov.5-7, (2009).
J. Anuradha, Tisa, Varun Ramachandran, K.V. Arulalan, B.K. Tripathy (2010): Diagnosis of ADHD using SVM algorithm. Proceedings of the Third Annual ACM Bangalore Conference on - COMPUTE ’10. doi:10.1145/1754288.1754317
B.K. Tripathy and Sasikumar: Intelligent System to Recognize Human Brain Signals for finding Brain Diseases based on Neural Networks, WCE 2010, IAENG, London (U.K), June 30-July 2, (2010),pp.605-608.
B.K. Tripathy, Himaja Devineni, Jayasri K.J and Mayank B.: An Efficient Clustering Algorithm for l-diversity, Proceedings of the International conference on Advances and Emerging Trends in Computing Technologies,ICAET10, SRM university, June 21-24 ,(2010),pp. 76 - 81.
B.K. Tripathy, G.K. Panda: A new approach to Manage Security against Neighborhood Attacks in Social Networks, Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining, DOI 10.1109/ASONAM.2010.69, IEEE Computer Society,(2010), Denmark, pp.264 -269.
B.K. Tripathy and Sasikumar: Turing Award: Nobel equivalent prize in computer science, ETCIT’10, Holy Cross College (Autonomous), Tiruchirappalli, Jan 6-7, (2010).
Anuradha J, Tisha, Varun R, Tripathy B K: Diagnosis of Learning Disability using WISC-R : A comparative study between ANN and SVM algorithm, Proceedings of the World Congress on Engineering and Computer Science, WCECS 2010, October 20-22, 1 (2010), San Francisco, USA, ISBN: 978-988-17012-0-6, pp.541 – 546.
Swarnalatha, P. and Tripathy, B. K.: TCP-LP: low-priority service via end-point congestion control", CIT'10 Proceedings of the 4th international conference on Communications and information technology, (WSEAS) Stevens Point, Wisconsin, USA ©2010, pp. 117–123. ISBN: 978-960-474-207-3
B.K. Tripathy, G.K. Panda and K. Kumaran: A Rough Set Approach to develop an efficient l-diversity Algorithm based on Clustering, 2nd IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence, January 8-9, 2011, Ahmadabad, India, (2011), P085, p.43.
B.K. Tripathy and J. Anuradha: Diagnosis of Learning Disability in E – Learning Platform using ANN, Accepted for presentation in ICCMS- IEEE international conference, Mumbai, 6-7 January, 2011.
B.K. Tripathy, K. Kumaran and G.K. Panda: A Fast l - Diversity Anonymisation Algorithm, Accepted for presentation in ICCMS- IEEE international conference, Mumbai, 6-7 January, 2011.
B.K. Tripathy, K. Kumaran, M. Sumaithri and T. Swathi: Effective Rule Induction using Incremental Approach for a Dynamic Information System, 3rd International Conference on Electronics Computer Technology(ICECT 2011), Kanyakumari, 8-10 April, (2011),pp.V3.308-V3.312.
G. Sasikumar, B.K. Tripathy and M. Priya: Study of Image Recognition Using Cellular Associated Artificial Neural Networks, In: Proceedings of the International IAENG Conferences-WCE 2010 on” The International Multi-Conference of Engineers and Computer Scientists” (IMECS 2011), 16-18 March 2011, Hong Kong, Vol. 1, [ICIE_6], pp. 1-5, ISBN: 978-98818210-3-4
B.K. Tripathy, K. Kumaran and G.K. Panda: (2011) An Improved l-Diversity Anonymisation Algorithm. In: Venugopal K.R., Patnaik L.M. (eds) Computer Networks and Intelligent Computing. ICIP 2011, Bangalore, August-2011. Communications in Computer and Information Science, vol 157, pp. 81-86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22786-8_10
B.K. Tripathy and A. Maiti: Data Management in Online Semiconductor Technology CAD Laboratory, Proceedings of the 8th International Conference on Remote Engineering and Virtual Instrumentation (REV-2011),Transylvania University, Brasov, Romania, June 28- July 1,2011, (2011).
B.K. Tripathy, A. Maity B. Ranajit D. Chowdhuri: "A fast p-sensitive l-diversity Anonymisation algorithm," 2011 IEEE Recent Advances in Intelligent Computational Systems (RAICS), Kerala, Sept.21-23, (2011), pp.741 – 744. DOI: 10.1109/RAICS.2011.6069408.
B.K. Tripathy and A. Ghosh: "SDR: An algorithm for clustering categorical data using rough set theory," 2011 IEEE Recent Advances in Intelligent Computational Systems (RAICS) IEEE conference, Kerala, Sept.21-23, (2011), pp. 867-872, doi: 10.1109/RAICS.2011.6069433.
A. Maiti and B. K. Tripathy: "An improved scheduling scheme for the management of online laboratories," 2011 IEEE Recent Advances in Intelligent Computational Systems, 2011, pp. 667-670, doi: 10.1109/RAICS.2011.6069394.
B. K. Tripathy, K. Kumaran, M. Sumaithri, T. Swathi and D. Shobana: "Faster rule induction algorithms using rough set theory,"2011 IEEE Recent Advances in Intelligent Computational Systems, 2011, pp. 798-802, doi: 10.1109/RAICS.2011.6069419.
Anuradha J. and B.K. Tripathy: Improved Intelligent Dynamic Swarm PSO Algorithm and Rough Set for feature Selection, Obcom 2011, VIT, Vellore, from 9-11 Dec, 2011.
Purushotham S., Tripathy B.K.: Evaluation of Classifier Models Using Stratified Tenfold Cross Validation Techniques. In: Krishna P.V., Babu M.R., Ariwa E. (eds) Global Trends in Information Systems and Software Applications, ObCom 2011, Communications in Computer and Information Science, vol 270, (2012), Springer, Berlin, Heidelberg, pp. 680-690.
B.K. Tripathy and M. Nagaraju: Topological Properties of Incomplete Multigranulation Based on Fuzzy Rough Sets, Obcom 2011 conference, VIT, Vellore from 9-11 Dec, 2011.
B.K. Tripathy, A. Jhawar and E. Vats: An Analysis of Generalised Approximate Equalities based on Rough Fuzzy Sets, SocPros 2011, Dec.22-24, IIT-Roorkee, AISC 130, Springer India (2012),Vol.1, pp.333-346.
Tripathy B.K., Acharjya D.P., Ezhilarasi L. (2012): Topological Characterization of Rough Set on Two Universal Sets and Knowledge Representation. In: Krishna P.V., Babu M.R., Ariwa E. (eds) Global Trends in Information Systems and Software Applications. ObCom 2011. Communications in Computer and Information Science, vol 270, pp. 68-81. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29216-3_9
Tripathy B.K., Ghosh A., Panda G.K. (2012): Adaptive K-Means Clustering to Handle Heterogeneous Data Using Basic Rough Set Theory. In: Meghanathan N., Chaki N., Nagamalai D. (eds) Advances in Computer Science and Information Technology. Networks and Communications. CCSIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 84, pp.193 – 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27299-8_21.
B.K. Tripathy, A. Ghosh, G.K. Panda: Kernel Based K-Means Clustering Using Rough Set, Proceedings of 2012 International Conference on Computer Communication and Informatics (ICCCI -2012), Jan. 10 – 12, (2012), Coimbatore, INDIA, pp.1 -5.
B.K. Tripathy, G.K. Panda and A. Mitra: Some Concepts of Incomplete Multigranulation Based on Rough Intuitionistic Fuzzy Sets, May 25-27, New Delhi, ICCSEA-2012, Advances in Intelligent and Soft Computing, vol.166, (2012), pp.683-694.
B.K. Tripathy, A. Jayaram Reddy, Manusha, G.V. and G.S. Mohisin: Improved Algorithms for Anonymisation of Set-valued Data, July 13-15, Chennai, AICTY-2012, Advances in Intelligent and Soft Computing, Vol.177, (2012), pp.581-594.
B.K. Tripathy and S. S. Gantayat: Conceptual application of list theory to data structures, July 13-15, Chennai, AICTY-2012, Advances in Intelligent and Soft Computing, Vol.177, (2012), pp.551-560.
B.K. Tripathy, Manusha, G. V. and G.S. Mohisin: An improved Set-Valued data anonymisation algorithm and generation of FP-Tree, ICIP Springer Conference, Bangalore, CCIS 292, (2012), pp.552-560.
B.K. Tripathy and S.S. Gantayat: Some New Properties of Lists and a Framework of a List Theoretic Relation Model, CCSEIT '12: Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology, CCSEIT-12, October 26-28, 2012, Coimbatore [Tamil Nadu, India], (2012), pp.165-170. DOI: 10.1145/2393216.2393244
B.K. Tripathy and D.P. Acharjya: Intuitionistic fuzzy rough set on two universal sets and knowledge representation, Accepted for presentation in the international conference IMC, Vijayawada, 13-14 Sept. 2012.
B.K. Tripathy and A. Mitra: "An algorithm to achieve k-anonymity and l-diversity anonymisation in social networks," 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN), 2012, Brazil, pp. 126-131, doi: 10.1109/CASoN.2012.6412390.
B.K. Tripathy and P. Swarnalatha: A Novel Fuzzy C-Means Approach with Bit Plane Algorithm for Classification of Medical Images, IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology (ICECCN 2013), March (2013), pp.360 – 365.
B.K. Tripathy and A. Mitra: "On the approximate equalities of multigranular rough sets and approximate reasoning," 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), 4th IEEE Conference on Computing, Communication and Network Technologies, Elayapalayam, (2013). pp. 1-7, doi: 10.1109/ICCCNT.2013.6726771
R. Bhargav, B.K. Tripathy, A. Tripathy, R. Dhull, E. Verma, and P. Swarnalatha: Rough Intuitionistic Fuzzy C-Means Algorithm and a Comparative Analysis, COMPUTE‟13, Aug 22-24, Vellore, Tamil Nadu, India Copyright 2013 ACM 978-1-4503-2545-5/13/08
B.K. Tripathy and R. Bhargav: Bhargava R., Tripathy B. (2013) Kernel Based Rough-Fuzzy C-Means. In: Maji P., Ghosh A., Murty M.N., Ghosh K., Pal S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251, pp.148-155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_20
M.S. Sishodia, S. Jain and B.K. Tripathy (2013): GASNA: greedy algorithm for social network anonymisation, ASONAM '13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp.1161-1166. DOI: 10.1145/2492517.2500267
B.K. Tripathy and M. Nagaraju: Covering Based Multi Granulation Rough Sets and Study of their Topological Properties, CCIIS 2013, VIT University, (2013).
A. Jhawar, E. Vats, B. Tripathy and C. S. Chan: "Generalised approximate equalities based on rough fuzzy sets & rough measures of fuzzy sets," 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013, pp. 1-6, doi: 10.1109/FUZZ-IEEE.2013.6622541.
B.K. Tripathy, S.P. Jena and S.K. Ghosh: A Bag Theoretic Fuzzy Count and Cardinality of Fuzzy Sets, 2013 IEEE ICCIC, Madurai, Dec.26-28, (2013), pp.379 – 384.
B.K. Tripathy, P.Saraf and M.K. Satapathy: "On intuitionistic fuzzy measures and the count of intuitionistic fuzzy sets," 2013 IEEE International Conference on Computational Intelligence and Computing Research, IEEE ICCIC 2013, Madurai, Dec.26-28, pp. 1-4. doi: 10.1109/ICCIC.2013.6724217.
B.K. Tripathy and A.Mitra: Algebric Properties of Rough Sets using topological characterisations and Approximate Equalities, 2013 IEEE ICCIC, Madurai, Dec.26-28, (2013), pp.373 – 378.
B.K. Tripathy and A.Mitra: On Algebraic and Topological Properties of Neighbourhood Based Multigranular Rough Sets, 2014 IEEE International Conference on Computer Communications and Informatics (ICCCI 2014), January 3-4, Coimbatore, India (2014), pp.1-6.
Swathi J. N., Rajen, B. B., Ilango P., Khalid M and Tripathy B.K: Gradient Projected Neuro Fuzzy Decision Tree, International Conference of Network and Power Engineering , Proceedings of Fifth CNC-2014, pp.1.36-142.
Swarnalatha P, Tripathy B.K., Prabu S., Ramakrishnan, R. and Manthira M.S: Depth Reconstruction using Geometric Correction with Anaglyph Approach for Satellite Imagery, International Conference of Network and Power Engineering ,Proceedings of Fifth CNC-2014, pp. 506 -515.
Swarnalatha P, Tripathy B.K., Nithin, P. L. and D. Ghosh: Cluster Analysis Using Hybrid Soft Computing Techniques, CNC-2014International Conference of Network and Power Engineering ,Proceedings of Fifth CNC-2014,pp. 516-524.
A. Gupta and B. K. Tripathy: A generic hybrid recommender system based on neural networks, 2014 IEEE International Advance Computing Conference (IACC), 2014, pp. 1248-1252, doi: 10.1109/IAdCC.2014.6779506.
B.K. Tripathy, H.R. Vishwakarma and D.P. Kothari: Neighbourhood systems based knowledge acquisition using MapReduce from Big Data over cloud computing, 2014 Conference on IT in Business, Industry and Government (CSIBIG), 2014, pp. 1-6, doi: 10.1109/CSIBIG.2014.7056958.
B.K. Tripathy, A. Tripathy, K. Govinda Rajulu and R. Bhargav: On kernel Based rough Intuitionistic Fuzzy C-means algorithm and a comparative analysis, ICACNI 2014, Advanced computing networking and informatics, vol.1, Smart innovation systems and technologies, vol.27, (2014), pp. 349-359.
B.K. Tripathy, H.R. Vishwakarma and D.P. Kothari: A Framework for Harnessing and Managing Peer-to-Peer Knowledge Networks, Proceedings of CSI-COMNET-2014, International conference on communications and networks, 14-15 March 2014, Coimbatore.
K. S. Banu, V. Santhi and B. K. Tripathy: "Non-cryptographic security to data: Distortion based anonymization techniques," 2014 International Conference on Advances in Engineering and Technology (ICAET 2014), IEEE-ICAET-2014, 2nd and 3rd May 2014, EGS Pillay engineering College, India. pp. 1-5, doi: 10.1109/ICAET.2014.7105226.
B.K. Tripathy and K. Govinda Rajulu: On Covering based Pessimistic Multigranular Rough Sets, 2014 Sixth International Conference on Computational Intelligence and Communication Networks, 978-1-4799-6929-6/14, (2014), pp.708 -713.
B.K. Tripathy, M.K. Satapathy and P.K. Choudhury: On Some Generalised Relations, Sixth International Conference on Computational Intelligence and Communication Networks, 978-1-4799-6929-6/14, (2014), pp. 714-718.
B.K. Tripathy and V.R. Raghuveer: Multi-dimensional analysis of learning experiences over the e-learning environment for effective retrieval of Los, 6th IEEE International Conference on Technology for Education (T4E), December (2014), p.168-171.
V. R. Raghuveer, B. K. Tripathy, T. Singh and S. Khanna: "Reinforcement learning approach towards effective content recommendation in MOOC environments," 2014 IEEE International Conference on MOOC, Innovation and Technology in Education (MITE), 2014, pp. 285-289, doi: 10.1109/MITE.2014.7020289.
B.K. Tripathy, Avik Basu and Sahil Govel: "Image segmentation using spatial intuitionistic fuzzy C means clustering," 2014 IEEE International Conference on Computational Intelligence and Computing Research, 2014, pp. 1-5, doi: 10.1109/ICCIC.2014.7238446
B.K. Tripathy, Nishu Garg and Nikhitha: Image retrieval using latent feature learning by deep architecture, proceedings of the IEEE ICCIC2014, (2014), pp.663 – 666.
B.K. Tripathy, A. Tripathy and K.Govindarajulu: Possibilistic rough fuzzy C-means algorithm in data clustering and image segmentation, proceedings of the IEEE ICCIC2014, (2014), pp.981-986.
S. Sobti, V. Shah and B. K. Tripathy: "A refined rough fuzzy clustering algorithm," 2014 IEEE International Conference on Computational Intelligence and Computing Research, 2014, pp. 1-4, doi: 10.1109/ICCIC.2014.7238516.
Tripathy B.K., Govindarajulu K. (2015): Some More Properties of Covering Based Pessimistic Multigranular Rough Sets. In: Mandal J., Satapathy S., Kumar Sanyal M., Sarkar P., Mukhopadhyay A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339, pp.555-564. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_55
B.K. Tripathy, P.Saraf and S.C.Parida: On Multigranular Approximate Rough Equivalence of sets and Approximate reasoning, Proceedings of the International Conference on CIDM, 20-21, December 2014, Computational Intelligence in Data Mining, vol.2, Smart Innovation, Systems and technologies, vol.32, (2015), pp.605-616.
S. Chakraborty and B. K. Tripathy: Privacy preservation in social networks through alpha- anonymization techniques, ASONAM 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ( Paris, France), (2015), pp. 1602-1603.
B.K. Tripathy and P. Prabhavathy: An Intelligent Clustering Approach for Sequential Data, presented at ICIMR 2015, Bhubaneswar (2015).
B.K. Tripathy, A. Tripathy and K. Govinda Rajulu: On PRIFCM Algorithm for Data Clustering, Image Segmentation and Comparative Analysis, Souvenir of the 2015 IEEE International Advance Computing Conference, IACC 2015, Bangalore, India, 12-13 June 2015, Article number-7154725, Pages 333-336. ISBN: 978-1-4799-8048-2
B.K. Tripathy, T.R. Sooraj, R.K. Mohanty and S.C. Parida: Rough multisets and their properties, International Journal of Scientific and Innovative Mathematical Research, vol.3, issue 2, (2015), pp.690-694.
B.K. Tripathy and K.R. Arun: Some more properties of soft multiset and soft multiset relations, International Journal of Scientific and Innovative Mathematical Research, vol.3, issue 2, (2015), pp.492-496.
D. Mittal and B. K. Tripathy: Efficiency analysis of kernel functions in uncertainty based c-means algorithms, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015, pp. 807-813, doi: 10.1109/ICACCI.2015.7275709.
B.K. Tripathy, Sooraj T.R and RK Mohanty: A New Approach to Interval-valued Fuzzy Soft Sets and its Application in Group Decision Making, in the proceedings of CDCS-2015, Kochi, Grenze Scientific Society, p.
RK Mohanty, Sooraj, T.R and B.K. Tripathy: An application of IVIFSS in medical diagnosis decision making, International Journal of Applied Engineering Research, ISSN: 09734562, Vol. 10, issue 92 (2015) ICASME-2015, Chennai. pp. 85-93.
B.K. Tripathy, T.R.Sooraj and R.K.Mohanty: Rough multisets and their properties, International Conference on Mathematical Sciences (Mathematics, Statistics and Computer Sciences), (ICMS-2015), Sri Venkateshwar University, Tirupati, July 13-15, (2015), p.53.
Sresht Agrawal and B.K. Tripathy: Decision theoretic rough fuzzy C-means algorithm, Proceedings of 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2015, Article number 7434234, pp.192-196.
Ryan, S., B.K. Tripathy and A. Jayaram Reddy: An Analysis of Decision Theoretic Kernalized Fuzzy C-Means, in the proceedings of ICT4SD-2016, Goa.
Gurumurthy, S., & Tripathy, B. K. (2016): Intelligent Technique for Signal Processing to Identify the Brain Disorder for Epilepsy Captures Using Fuzzy Systems. MATEC Web of Conferences (APOP2016), 61, 06004. doi:10.1051/matecconf/20166106004
Sharma K., Jayashankar A., Sharmila Banu K., Tripathy B.K. (2016): Data Anonymization Through Slicing Based on Graph-Based Vertical Partitioning. In: Nagar A., Mohapatra D., Chaki N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 44. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2529-4_59
Vasudevan M., Tripathy B.K. (2016): A Constraint Based Question Answering over Semantic Knowledge Base. In: Behera H., Mohapatra D. (eds) Computational Intelligence in Data Mining—Volume 2. Advances in Intelligent Systems and Computing, vol 411, pp. 121-131. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2731-1_11
Vishwakarma, H.R., Tripathy, B.K., Kothari, D.P. (2016): A Five-Layer Framework for Organizational Knowledge Management. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 438, pp. 381-389. Springer, Singapore. https://doi.org/10.1007/978-981-10-0767-5_41
B.K. Tripathy, Deepthi P.H. and Dishant Mittal: Hadoop with Intuitionistic Fuzzy C-means for clustering in Big Data, Advances in Intelligent Systems and Computing, Volume 438, 2016, Pages 599-610.
Tripathy B.K., Sooraj T.R., Mohanty R.K. (2016): A New Approach to Fuzzy Soft Set Theory and Its Application in Decision Making. In: Behera H., Mohapatra D. (eds) Computational Intelligence in Data Mining—Volume 2. Advances in Intelligent Systems and Computing, vol 411. Springer, New Delhi, pp. 307-315, https://doi.org/10.1007/978-81-322-2731-1_28
B.K. Tripathy, Sooraj T.R., RK Mohanty and K.R. Arun: A New Approach to Intuitionistic Fuzzy Soft Set Theory and its Application in Decision Making, Advances in Intelligent Systems and Computing, Vol. 439, 2016, Pp. 93-100.
Sooraj T.R., RK Mohanty and B.K. Tripathy: Sooraj T.R., Mohanty R.K., Tripathy B.K. (2016) Fuzzy Soft Set Theory and Its Application in Group Decision Making. In: Choudhary R., Mandal J., Auluck N., Nagarajaram H. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 452, pp.171-178. Springer, Singapore. https://doi.org/10.1007/978-981-10-1023-1_17
Tripathy B.K., Mohanty R.K., Sooraj T.R. (2016): On Intuitionistic Fuzzy Soft Sets and Their Application in Decision-Making. In: Lobiyal D., Mohapatra D., Nagar A., Sahoo M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 396, pp.67-73. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3589-7_7.
B. K. Tripathy, R. K. Mohanty and T. R. Sooraj (2016): On intuitionistic fuzzy soft set and its application in group decision making, 2016 International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS 2016), Pudukkottai, pp. 1-5. doi: 10.1109/ICETETS.2016.7603002.
B.K Tripathy, RK Mohanty, Sooraj T.R and A. Tripathy: A modified representation of IFSS and its usage in GDM, Smart Innovation, Systems and Technologies, Vol. 50 (2016), pp.365-375.
B.K. Tripathy and A. Panigrahy: Interval-valued intuitionistic fuzzy parameterized soft set theory and its application in decision-making, 2016 10th International Conference on Intelligent Systems and Control (ISCO 2016), , Coimbatore, pp. 1-6, doi: 10.1109/ISCO.2016.7726952.
Agrawal S., Tripathy B.K. (2016): Decision Theoretic Rough Intuitionistic Fuzzy C-Means Algorithm. In: Satapathy S., Das S. (eds) Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1. Smart Innovation, Systems and Technologies, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-30933-0_8, pp.71-82.
Tripathy B.K., Sooraj T.R., Mohanty R.K.: A New Approach to Interval-Valued Fuzzy Soft Sets and Its Application in Decision-Making. In: Sahana S., Saha S. (eds) Advances in Computational Intelligence, Advances in Intelligent Systems and Computing, vol. 509, Springer, Singapore, (2017), pp.3-10.
RK Mohanty, Sooraj.T.R and B.K Tripathy (2017): IVIFS and Decision-Making. In: Satapathy S., Bhateja V., Joshi A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 468. Springer, Singapore. https://doi.org/10.1007/978-981-10-1675-2_33.
B.K. Tripathy, Viraj Sahai and Neha Kaushik (2017): Methods for Individual and Group Decision Making Using Interval-Valued Fuzzy Preference Relations. In: Satapathy S., Bhateja V., Joshi A. (eds) Proceedings of the International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 469. Springer, Singapore. https://doi.org/10.1007/978-981-10-1678-3_19.
Sooraj, T.R. and B.K. Tripathy: Interval valued Hesitant Fuzzy Soft Sets and its Application in Stock Market Analysis. In: Dash S., Vijayakumar K., Panigrahi B., Das S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing, vol. 517, Springer, Singapore, (2017), pp.755-764.
Mohanty R.K., Tripathy B.K.: Intuitionistic Hesitant Fuzzy Soft Set and Its Application in Decision Making. In: Dash S., Vijayakumar K., Panigrahi B., Das S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing, vol. 517, Springer, Singapore, (2017), pp.221-233.
Sooraj, T. R., Mohanty, RK, and B.K. Tripathy: Hesitant Fuzzy Soft Set Theory and its Application in Decision Making, In: Dash S., Vijayakumar K., Panigrahi B., Das S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing, vol. 517, Springer, Singapore, (2017), pp.315-322.
Asesh, A. and B.K. Tripathy: Hybrid paradigm to establish accurate results for null value problem using rough– neural network model, In: Dash S., Vijayakumar K., Panigrahi B., Das S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing, vol. 517, Springer, Singapore, (2017), pp.349-362.
Ryan, S., B.K. Tripathy and A. Jayaram Reddy: An Analysis of Decision Theoretic Kernalized Rough C-Means, In: Dash S., Vijayakumar K., Panigrahi B., Das S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems, Advances in Intelligent Systems and Computing, vol. 517, Springer, Singapore, (2017), pp.513-524.
B.K. Tripathy, S.K. Parida (2017): Some Properties of Rough Sets on Fuzzy Approximation Spaces and Applications. In: Satapathy S., Bhateja V., Udgata S., Pattnaik P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications. Advances in Intelligent Systems and Computing, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-10-3156-4_18.
Serrao R., Tripathy B.K., Reddy A.J.: An Analysis of Decision Theoretic Kernalized Rough Intuitionistic Fuzzy C-Means. In: Deep K. et al. (eds) Proceedings of Sixth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, vol 546, Springer, Singapore, (2017), pp.296-306.
B.K. Tripathy and Darshan Mehta: Clustering of Categorical Data using intuitionistic fuzzy k-modes, SocPros2016, In: Deep K. et al. (eds) Proceedings of Sixth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing, vol 546, Springer, Singapore, (2017), pp.254-263
B.K. Tripathy and R. R. Mohanty: Some Properties of Rough Sets on Intuitionistic Fuzzy Approximation Spaces and their application in Computer Vision, Proceedings of Sixth International Conference on Soft Computing for Problem Solving (SocPros 2016), Advances in Intelligent Systems and Computing book series (AISC), vol. 546, pp. 264-275
B.K. Tripathy, Thakur S., Chowdhury R. (2017): A Classification Model to Analyze the Spread and Emerging Trends of the Zika Virus in Twitter. In: Behera H., Mohapatra D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-10-3874-7_61.
B. K. Tripathy, Akarsh Goyal and Rahul Chowdhury: MMeNR: Neighborhood Rough Set Theory Based Algorithm for Clustering Heterogeneous Data, International Conference on Inventive Communication and Computational Technologies (ICICCT 2017), (2017), pp.323-328.
K. Baktha and B. K. Tripathy: Investigation of recurrent neural networks in the field of sentiment analysis, 2017 International Conference on Communication and Signal Processing (ICCSP), 2017, pp. 2047-2050, doi: 10.1109/ICCSP.2017.8286763.
S. Chinta, B. K. Tripathy and K. G. Rajulu: Kernelized Intuitionistic Fuzzy C-Means algorithms fused with firefly algorithm for image segmentation, 2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS), 2017, pp. 1-6, doi: 10.1109/ICMDCS.2017.8211702.
B. K. Tripathy, Raju, H. and Kaul, D.: Comparative Analysis of Pure and Hybrid Machine Learning Algorithms for Risk Prediction of Diabetes Mellitus, in: the proceedings of ICCSAI-2017, Tirupati.
B.K. Tripathy and Zion, D.: Handling Non Communicable Disease Using Predictive Analysis of Data Mining Techniques, in: the proceedings of ICCSAI-2017, Tirupati.
S.S. Sandhu, A. R. Jadhav and B.K. Tripathy: Comparison of centroid-based clustering algorithms in the context of divide and conquer paradigm based FMST framework, 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2017, pp. 219-224, doi: 10.1109/ICRCICN.2017.8234510.
A. Adate and B. K. Tripathy: Understanding Single Image Super-Resolution Techniques with Generative Adversarial Networks, In: Bansal J., Das K., Nagar A., Deep K., Ojha A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol. 816, Springer, Singapore,(2017), pp.833-840.
A. Gupta and B. K. Tripathy: Implementing GloVe for context based k-means++ clustering, 2017 International Conference on Intelligent Sustainable Systems (ICISS), 2017, pp. 1041-1046, doi: 10.1109/ISS1.2017.8389339.
Harish, K., B. K. Tripathy and Manoj Kumar, K.: A framework to collect and visualize user’s browser history for better user experience and personalized recommendations, 2242nd International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2017; Ahmedabad; India; 25 March 2017 through 26 March 2017, Smart Innovation, Systems and Technologies, Volume 83, 2018, Pages 218-224.
Vishwakarma H.R., Tripathy B.K., Kothari D.P. (2018): An Architectural Design for Knowledge Asset Management System. In: Muttoo S. (eds) System and Architecture. Advances in Intelligent Systems and Computing, vol 732. Springer, Singapore. https://doi.org/10.1007/978-981-10-8533-8_31
Sooraj T.R., Mohanty R.K., Tripathy B.K.: Improved Decision Making Through IFSS. In: Satapathy S., Bhateja V., Das S. (eds.) Smart Computing and Informatics, Smart Innovation, Systems and Technologies, vol. 77. Springer, Singapore, (2018), pp 213-219.
Sooraj, T.R., R.K.Mohanty and B.K. Tripathy (2018): A New Approach to Interval-Valued Intuitionistic Hesitant Fuzzy Soft Sets and Their Application in Decision Making. In: Satapathy S., Bhateja V., Das S. (eds) Smart Computing and Informatics. Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5544-7_25
Tripathy B.K., Parida S.K. (2018): Covering-Based Pessimistic Multigranular Approximate Rough Equivalences and Approximate Reasoning. In: Satapathy S., Bhateja V., Das S. (eds) Smart Computing and Informatics. Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5544-7_30
Prakash T., Tripathy B.K., Sharmila Banu K. (2018): ALICE: A Natural Language Question Answering System Using Dynamic Attention and Memory. In: Zelinka I., Senkerik R., Panda G., Lekshmi Kanthan P. (eds) Soft Computing Systems, ICSCS 2018, Communications in Computer and Information Science, vol 837, Springer, Singapore, https://doi.org/10.1007/978-981-13-1936-5_30.
K. S. Ser Gill, Sharmila Banu, K. And B. K. Tripathy (2018): An Improved Differential Neural Computer Model Using Multiplicative LSTM. In: Zelinka I., Senkerik R., Panda G., Lekshmi Kanthan P. (eds) Soft Computing Systems. ICSCS 2018. Communications in Computer and Information Science, vol 837. Springer, Singapore. https://doi.org/10.1007/978-981-13-1936-5_31
Pant A., Chinta S.S., Tripathy B. (2018): Kernelized Clustering Algorithms Fused with Firefly and Fuzzy Firefly Algorithms for Image Segmentation. In: Zelinka I., Senkerik R., Panda G., Lekshmi Kanthan P. (eds) Soft Computing Systems, ICSCS 2018, Communications in Computer and Information Science, vol 837, Springer, Singapore, https://doi.org/10.1007/978-981-13-1936-5_14
Jayaram Reddy A., Tripathy B., Nimje S., Sree Ganga G., Varnasree K. (2018): Performance Analysis of Clustering Algorithm in Data Mining in R Language. In: Zelinka I., Senkerik R., Panda G., Lekshmi Kanthan P. (eds) Soft Computing Systems, ICSCS 2018, Communications in Computer and Information Science, vol 837, Springer, Singapore. https://doi.org/10.1007/978-981-13-1936-5_39
Pant A., Agrawal K., Tripathy B.K. (2018): Planned Random Algorithm. In: Satapathy S., Tavares J., Bhateja V., Mohanty J. (eds) Information and Decision Sciences. Advances in Intelligent Systems and Computing, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-10-7563-6_13
Chinta S.S., Jain A., Tripathy B.K. (2018): Image Segmentation Using Hybridized Firefly Algorithm and Intuitionistic Fuzzy C-Means. In: Somani A., Srivastava S., Mundra A., Rawat S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_62
Ria Elin Thomas, Sharmila Banu K and B.K. Tripathy: Image Anonymisation Using Clustering with Pixelization, International Journal of Engineering & Technology, 2227-524X.
A. Shaha and B. K. Tripathy: Optimizing Target Oriented Network Intelligence Collection for the Social Web by using K-beam Search, SocPros 2018(1), VIT, Vellore, December (2018), pp.135-144.
A. Shaha, D. Arya and B. K. Tripathy: Implementation of Exploration in TONIC using non-stationary volatile multi-arm bandits, SocPros 2018, VIT, Vellore, December 2018.
Neha Singh and B. K. Tripathy: Leukemia Cell Segmentation from Microscopic Blood Smear Image using C-Mode, SocPros 2018(1), VIT, Vellore, Tamil Nadu, December (2018), pp.225-238..
Priyansh Jain, B. K. Tripathy and Sharmila Banu, K.: Measuring similarity between different spatial regions using rough sets in GIS, SocPros 2018(1), VIT, Vellore, Tamil Nadu, (2018), pp.271-283.
Jain A., Chinta S., Tripathy B.K. (2018): Stabilizing Rough Sets Based Clustering Algorithms Using Firefly Algorithm over Image Datasets. In: Satapathy S., Joshi A. (eds) Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2. ICTIS 2017. Smart Innovation, Systems and Technologies, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-319-63645-0_36
Sandhu S.S., Tripathy B.K., Jagga S. (2019): KMST+: A K-Means++-Based Minimum Spanning Tree Algorithm. In: Panigrahi B., Trivedi M., Mishra K., Tiwari S., Singh P. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 669. Springer, Singapore. https://doi.org/10.1007/978-981-10-8968-8_10.
A. Adate and B. K. Tripathy: S-LSTM-GAN: Shared Recurrent Neural Networks with Adversarial Training, In: Kulkarni A., Satapathy S., Kang T., Kashan A. (Eds) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, Vol. 828, Springer, Singapore, (2019), pp 107-115.
K. Shah, B. K. Tripathy and K. Sharmila Banu: Neighborhood Rough Set Based Similarity Measurement Of subzones Affected by West Nile Virus, 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), Gangtok, India, 2019, pp. 1-6.
Vasudev Sharma, Abhinav Nagpal and B. K. Tripathy: A Fuzzy Constraint Based Outlier Detection Method. In: Huang DS., Huang ZK., Hussain A. (Eds) Intelligent Computing Methodologies. ICIC 2019, Lecture Notes in Computer Science, vol. 11645. (2019), Springer, Cham, pp. 515-527.
Vasudev Sharma and B. K. Tripathy: High Dimensional Fuzzy Outlier Detection, ICONIP2019 Proceedings, Australian Journal of Intelligent Information Processing Systems, vol.6, no.1, (2019), pp.45-55.
Pant A., Chinta S.S., Tripathy B.K. (2019): Comparative Analysis of Hybridized C-Means and Fuzzy Firefly Algorithms with Application to Image Segmentation. In: Kulkarni A., Satapathy S., Kang T., Kashan A. (eds) Proceedings of the 2nd International Conference on Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-13-1610-4_32
Jain P., Varday H., Sharmila Banu K., Tripathy B.K. (2020): Enhancing Public Health Surveillance by Measurement of Similarity Using Rough Sets and GIS. In: Das K., Bansal J., Deep K., Nagar A., Pathipooranam P., Naidu R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_21
Dudani A., Srividya V., Sneha B., Tripathy B.K. (2020): Sentiment Analysis on Kerala Floods. In: Khanna A., Gupta D., Bhattacharyya S., Snasel V., Platos J., Hassanien A. (eds) International Conference on Innovative Computing and Communications, Advances in Intelligent Systems and Computing, vol 1087, Springer, Singapore. https://doi.org/10.1007/978-981-15-1286-5_10.
Suman V. S. V., Yuvraj Champawat, Swaraj Kothari and B. K. Tripathy: Recommendation System Using Community Identification, Proceedings of the International Conference on Innovative Computing and Communications, 2020, Springer Nature, pp. 125-132.
Rajdeep Deb Gupta and B. K. Tripathy (2020): A novel anomaly detection for streaming data using LSTM Auto-encoders, Presented at ICICC-2019.
Debgupta R., Saha A., Tripathy B.K. (2020): A Faster Fuzzy Clustering Approach for Recommender Systems. In: Bhateja V., Satapathy S., Zhang YD., Aradhya V. (eds) Intelligent Computing and Communication, ICICC 2019, Advances in Intelligent Systems and Computing, vol 1034. Springer, Singapore,(2019), pp.315-324, https://doi.org/10.1007/978-981-15-1084-7_30.
Srividya V., Tripathy B.K., Akhtar N., Katiyar A. (2021): AgentG: An Engaging Bot to Chat for E-Commerce Lovers. In: Tripathy A., Sarkar M., Sahoo J., Li KC., Chinara S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_27
Debgupta R., Chaudhuri B.B., Tripathy B.K.: A Wide ResNet-Based Approach for Age and gender Estimation in Face Images. In: Khanna A., Gupta D., Bhattacharyya S., Snasel V., Platos J., Hassanien A. (eds) International Conference on Innovative Computing and Communications, Advances in Intelligent Systems and Computing, vol 1087, Springer, Singapore, (2020), pp 517-530, https://doi.org/10.1007/978-981-15-1286-5_44.
Harsh Vardhan, Nitish Surana, B. K. Tripathy: Named-Entity Recognition for Legal Documents, In: Hassanien A., Bhatnagar R., Darwish A. (eds), Advanced Machine Learning Technologies and Applications, AMLTA 2020, Advances in Intelligent Systems and Computing, vol. 1141, Springer, Singapore, (2020), pp. 469-479.
Srividya, V., Tripathy, B.K., Akhtar, N., Katiyar, A. (2021).: AgentG: An Engaging Bot to Chat for E-Commerce Lovers. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_27
Mohanty, R.K., Tripathy, B.K. (2021): An Improved Approach to Group Decision-Making Using Intuitionistic Fuzzy Soft Set. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_28
Kumar V and B. K. Tripathy (2020): Detecting Toxicity with Bidirectional Gated Recurrent Unit Networks. In: Bhateja, V., Satapathy, S., Zhang, YD., Aradhya, V. (eds) Intelligent Computing and Communication. ICICC 2019. Advances in Intelligent Systems and Computing, vol 1034. Springer, Singapore. https://doi.org/10.1007/978-981-15-1084-7_57
Katiyar A., Srividya V., Tripathy B.K. (2021): TagIT: A System for Image Auto-tagging and Clustering. In: Bhateja V., Satapathy S.C., Travieso-González C.M., Aradhya V.N.M. (eds) Data Engineering and Intelligent Computing, Advances in Intelligent Systems and Computing, vol 1, Springer, Singapore. https://doi.org/10.1007/978-981-16-0171-2_25
Jena, P.M., Tripathy, B.K., Parida, S.K. (2022).: Multi-font Curved Text Scene for Enhanced OCR Readability. In: Chaki, N., Devarakonda, N., Cortesi, A., Seetha, H. (eds) Proceedings of International Conference on Computational Intelligence and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 99. Springer, Singapore. https://doi.org/10.1007/978-981-16-7182-1_19
Pavitra Kadiyala, Shaolin Kataria, B. K. Tripathy, Durai Raj Vincent P M and Joshua Aby: A one-place solution to your Mental Health and Workload, presented at the conference-ICIIP-2021.
Sudershan Sridhar, Sharmila banu, K. and B. K. Tripathy: Voice Recognition System using Deep Learning, ICRCICN conference, 11-12 December, CRC press, (2023)
Nivedita and B. K. Tripathy: Audio to Indian Sign Language Interpreter (AISLI) using Machine Translation and NLP Techniques, Accepted for presentation at the ICRCICN conference to be held during 11-12 December, (2021)
Rahul Sai R. S., Sharmila Banu, K. and B. K. Tripathy: Automated Medical Report generation on Chest X-Ray images using co-Attention Mechanism, Accepted for presented at the ICRCICN conference held during 11-12 December, 2021
A.S. Ghiya, V. Vijay, A. Ranganath, P. Chaturvedi, B.K. Tripathy, and Sharmila Banu K: Weather Classification: Image Embedding using Convolutional Autoencoder and Predictive Analysis using Stacked Generalization, presented at the ANTIC conference, BHU, during 17-18 December, (2021).
Prabhavathy P., Tripathy B.K., Venkatesan M. (2021): Unsupervised Learning Method for Mineral Identification from Hyper-spectral Data. In: Abraham A., Panda M., Pradhan S., Garcia-Hernandez L., Ma K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2019. Advances in Intelligent Systems and Computing, vol 1180. Springer, Cham. https://doi.org/10.1007/978-3-030-49339-4_16
Mohanty, R.K., Tripathy, B.K., Parida, S.C. (2022).: Decision Making on Covid-19 Containment Zones’ Lockdown Exit Process Using Fuzzy Soft Set Model. In: Nayak, J., Behera, H., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Data Mining. Smart Innovation, Systems and Technologies, vol 281. Springer, Singapore. https://doi.org/10.1007/978-981-16-9447-9_29
Yagna Sai Surya, K., Geetha Rani, T., Tripathy, B.K. (2022).: Social Distance Monitoring and Face Mask Detection Using Deep Learning. In: Nayak, J., Behera, H., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Data Mining. Smart Innovation, Systems and Technologies, vol 281. Springer, Singapore. https://doi.org/10.1007/978-981-16-9447-9_36
Tripathy B.K., Bhambhani U. (2022): A Granular Intuitionistic Fuzzy Meta Clustering Algorithm and Its Application. In: Mathur G., Bundele M., Lalwani M., Paprzycki M. (eds) Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6332-1_37
Pranchal Sihare, Azeem Ullah Khan, Poritosh Bardhan, B. K. Tripathy (2022): COVID-19 Detection Using Deep Learning: A Comparative Study of Segmentation Algorithms, Proceedings of the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR), A. K. Das et al. (Eds.): CIPR 2022, LNNS 480, pp. 1–10, 2022
Ravi Kumar Rungta, Parth Jaiswal, B. K. Tripathy (2022): A Deep Learning Based Approach to Measure Confidence for Virtual Interviews, Proceedings of the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR), A. K. Das et al. (Eds.): CIPR 2022, LNNS 480, pp. 278–291, 2022
Shreya Verma, Mansi Singh, Ishita Tiwari, B. K. Tripathy: An Approach to Medical Diagnosis Using Smart Chatbot, Proceedings of the 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR), A. K. Das et al. (Eds.): CIPR 2022, LNNS 480, pp. 1–14, 2022
Dharmasastha, K.N.S., Banu, K.S., Kalaichevlan, G., Lincy, B., Tripathy, B.K. (2022): Classification of Pest in Tomato Plants Using CNN. In: Mohanty, M.N., Das, S., Ray, M., Patra, B. (eds) Meta Heuristic Techniques in Software Engineering and Its Applications. METASOFT 2022. Artificial Intelligence-Enhanced Software and Systems Engineering, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-031-11713-8_6
Bhattacharya, S., Kushwaha, A., Banu, S.K., Tripathy, B.K. (2022).: Customizing Backend Logic Using a Chatbot. In: Pandit, M., Gaur, M.K., Rana, P.S., Tiwari, A. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1653-3_43
Akshaj, N., Tripathy, B.K. (2022).: METBAG – A Web Based Business Application. In: M. Panda, S. Dehuri, M.R. Patra, P.K. Behera, G.A. Tsihrintzis, S.B. Cho, C.A. Coello (eds.) Innovations in Intelligent Computing and Communication. ICIICC 2022. Communications in Computer and Information Science, vol 1737. Springer, Cham. https://doi.org/10.1007/978-3-031-23233-6_6
Jain, A., Khetriwal, V., Daga, H., Tripathy, B.K. (2022).: Smart Garbage Classification. In: M. Panda, S. Dehuri, M.R. Patra, P.K. Behera, G.A. Tsihrintzis, S.B. Cho, C.A. Coello (eds.) Innovations in Intelligent Computing and Communication. ICIICC 2022. Communications in Computer and Information Science, vol 1737. Springer, Cham. https://doi.org/10.1007/978-3-031-23233-6_8
Ghoshal, N., Bhartia, V., Tripathy, B. K. and Tripathy, A.(2023): Chatbot for Mental Health Diagnosis using NLP and Deep Learning, ICADCML 2023, Springer proceedings, (2023).
Chambia, S., Budhia, R., Pandey, T., Tripathy, B. K. and Tripathy, A. (2023).: Deep Fake Generation and Detection, ICADCML 2023, Springer proceedings, (2023).
S. Khatri, B.K. Tripathy, K.V.S. S. Kumar, V. Kumar, S. Bharti, A. Gupta and Y. Khandelwal (2023): A Deep Learning Approach for Detection of Disease in Plant Leaves, Accepted for presentationat the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR), to be held on 27th and 28th May, 2023, Department of Computer Science and Engineering,Techno main , salt lake E-4/1, Sector 5, Kolkata, W. B.
Shreya Verma, Mansi Singh, Krittika Chaturvedi and B.K. Tripathy (2023): An Efficient Multifactor Authentication System, Accepted for presentationat the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR), to be held on 27th and 28th May, 2023, Department of Computer Science and Engineering,Techno main , salt lake E-4/1, Sector 5, Kolkata, W. B.

National Conferences

B.K. Tripathy and G.P. Pattanaik: “On Some Properties of lists and Fuzzy lists, Fuzzy set theory and its mathematical aspects and applications”, Allied Publishers (2002), pp.234-238.,
B.K. Tripathy: “Rough sets on Fuzzy approximation spaces and application to distributed knowledge systems”, National Conference on Mathematics and its applications, Burdwan, 2004.
B.K. Tripathy, S.K. Ghosh and S.P. Jena: “Interval valued Intuitionistic fuzzy rough sets and Intuitionistic Fuzzy Rough sets”, Mathematical Analysis and applications, Narosa Publications (2004), pp.214-223.
B.K. Tripathy and M.R. Patra: “Basic properties of Rough sets and applications to Distributed Knowledge Systems, proceedings of the conference of Indian Fuzzy Mathematical Association held at IIT, Kharagpur (2004).
B.K. Tripathy, S.S. Gantayat and D. Mohanty: “Properties of Rough Sets on Fuzzy Approximation Spaces and Knowledge Representation”, proceeding of the National Conference on Recent Trends in Intelligent Computing (17-19 November, 2006), Kalyani Govt. Engineering College (W.B), pp.3-8, (2006).
B.K. Tripathy and S.S. Gantayat: “Rough sets on Intuitionistic fuzzy approximation spaces and knowledge representation”, SCT-2006, NIT Rourkela, March 24-26 (2006), pp.319-328.
B.K. Tripathy, S.N. Tripathy and G.N. Pradhan: “Possible terrorization in Adhoc Social Networks”, Siddhant-A journal of decision making, ISSN: 0091 /2002-TC, vol.7, no.2, April-June (2007), pp.48-54.
B.K. Tripathy and S.N. Tripathy: “Designing a Trust model for human interaction in an Adhoc Social Network using weighted statistical Data”, Proc. Of the national conf. on secure transactions (BITCON 2007), 16-17 March, pp.41-48.
B.K. Tripathy, S.N. Tripathy and S.K. Dash: “Trust evaluation mechanism in Adhoc Social Network”, Proc. of the national conf. on Intelligence Computing (NCIS 2007), 17-18 Feb., pp.65-71.
B.K. Tripathy and H.K. Tripathy: “Rough Set theory: A Gift to Data Mining”, Proc. of Nat. Conf. on Current Trends of Information Technology, Krupajal Engg. Col., Bhubaneswar, Orissa, 16-17 May 2007, pp.117-120.
B.K. Tripathy and A. Mitra: “Comparative study of Knowledge representation using rough sets and their algebraic properties”, Proc. Of the National Conf. on research prospects in knowledge mining, March (2-3), Annamalai Univ., (2008).
B.K. Tripathy and M S Prakash Kumar Ch.: Improvised MMR: An algorithm for clustering categorical data using Rough Set Theory, Proc. National Conference on recent trends in soft computing, Bangalore, (2009), pp.134-143.
B.K. Tripathy, L.Janaki and N.Jain: Security against Neighborhood Attacks in Social Networks, Proceedings National Conference on recent trends in soft computing, Bangalore, (2009), pp.216-223.
M S Prakash Kumar.Ch and B.K. Tripathy: Improvised MMR: An algorithm for clustering categorical data using Rough Set Theory, National Conference on "Recent Trends on Soft Computing" (NCRTSC' 09), (2009), pp.134-140.
B.K. Tripathy and G. Sasikumar: Artificial Neural Network Based Intelligent systems, Proceedings of National Conference on Artificial Intelligence and software Engineering [AISE-2009], pp.30 –37. [NH-ISE-2009-AISE-04]
G. Sasikumar and Tripathy, B.K.: ‘Neural Network Adaptive method for Ornamental Environment noise reduction’, in the Proceedings of National Conference on “Recent Advances in Neural Network”, [NCRANN 2010], (2010), pp.A-2.
G. Sasikumar and Tripathy, B.K.: ‘Innovative applications of Digital Image Processing’, in the Proceedings of National Conference on “Recent Advances in Neural Network” [NCRANN 2010], (2010), pp.A-6
B.K. Tripathy and G. Sasikumar: Turing Award: Nobel equivalent prize in computer science, accepted for presentation at the national conference ETCIT’10, Holy Cross College (Autonomous), Tiruchirapalli, Jan 6-7, (2010).
B.K. Tripathy and R. Raghavan: On Some topological properties of Multi Granular Rough sets, in: the Proceedings of CIIT (Joint IEEE & CSI) conference held at Indore, 23rd April 2011.
B.K. Tripathy and Kalia, L. P.: Topological Covering Based Rough Set Approach for Managing Uncertainty in Relational Databases, proceedings of the UGC sponsored national conference, Jan 30-31, (2012), pp.39-46
B.K. Tripathy and B. Ranajit: On some multi-sensitive l-diversity Anonymisation Algorithms, proceedings of the UGC sponsored national conference, Jan 30-31, (2012), pp.23-31
B.K. Tripathy, N. Patel and P. Ghosh: Handling n-neighbourhood attacks in Social Networks, proceedings of the UGC sponsored national conference, Jan 30-31, (2012), pp.01-11.
B.K. Tripathy: On Some Topological Properties of Pessimistic Multigranular Rough Sets, Proceedings of the UGC sponsored National Conference in Seemanta College, Baripada, (2012).,pp.1 – 7.
B.K. Tripathy, H.R. Vishwakarma and D.P. Kothari: A framework for managing software engineering knowledge, NCISSE-2014, Proceedings of National conference on information security and software engineering, 10-11 March 2014, Lucknow.
B.K. Tripathy and Deepthi, H.: Handling Fuzziness in Big Data using Clustering Techniques, NCICT-15, Bangalore (2015).
B.K. Tripathy, D. Dutta, Surajit Das and T. Chido: Social internet of things (SIoT): Transforming small objects to social object, IIMT Research Network, ISBN 878-93-82208-77-8, (2015), pp. 23-27.
B.K. Tripathy and Deepthi, P.H.: Application of Spatial FCM in detecting cancer cells, IIMT Research Network, ISBN 878-93-82208-77-8 pp.1-6, 96-100, (2015).
B.K. Tripathy and RK Mohanty: Performance Evaluation of Employees in an Organization using Interval Valued Fuzzy Soft Sets, IIMT Research Network, (2015). ISBN 878-93-82208-77-8 pp.1-6, ISBN:978-93-84935-74-0
B.K. Tripathy and Sooraj. T.R: On Interval valued Fuzzy soft sets and their Application in Group Decision Making, IIMT Research Network, (2015).
B.K. Tripathy and R.K. Mohanty: Ranking of Conferences using Intuitionistic Fuzzy Soft Set Approach in decision Making, NCICT 2016, Dayananda Sagar College of Engineering, Bangalore, (2016), pp.112-116. ISBN:978-93-84935-74-0
B.K. Tripathy and Sooraj, T.R.: On IVFSS and its application in Decision Making, NCICT 2016, Dayananda Sagar College of Engineering, Bangalore, (2016), pp.125-128, ISBN 878-93-82208-77-8 pp.1-6, 39-43, ISBN:978-93-84935-74-0.
B.K. Tripathy and Deepthi, P. H.: Fuzzy Clustering techniques with Spatial Information, NCICT 2016, Dayananda Sagar College of Engineering, Bangalore, (2016), pp.28-33, ISBN 878-93-82208-77-8 pp.1-6, 39-43, ISBN:978-93-84935-74-0
B. K. Tripathy and R. R. Mohanty: A Study on Covering Based Optimistic Multigranular Approximate Rough Equivalence and their Properties, NCICT 2016, Dayananda Sagar College of Engineering, Bangalore, (2016), pp.104-111, ISBN 878-93-82208-77-8 pp.1-6, 39-43, ISBN:978-93-84935-74-0.
B.K. Tripathy and S. K. Parida: Covering Based optimistic Multigranular Approximate Rough Equality and its properties, NCICT 2016, Dayananda Sagar College of Engineering, Bangalore, (2016), pp. 117-124, ISBN 878-93-82208-77-8 pp.1-6, 39-43, ISBN: 978-93-84935-74-0.

Book Chapters in Edited Volumes

B.K. Tripathy: On the study of Maximal Groups in the Theory of Summability, Chapter 19 in “Sequences, Summability and Fourier Analysis”, Narosa publishing house, New Delhi (2005), Eds: D.Rath and S.Nanda, pp.189-206.
B.K. Tripathy and R.N.Behera: Some Absolute Comparison Theorems on Product of (N, p, q) methods, Chapter 20 in “Sequences, Summability and Fourier Analysis”, Narosa publishing house, New Delhi (2005), Eds: D.Rath and S.Nanda, pp.207-221.
B.K. Tripathy: Rough sets on Fuzzy approximation spaces and Intuitionistic Fuzzy approximation spaces”, Springer International studies in computational intelligence, vol.174, Rough Set Theory: A True landmark in Data Analysis, Ed: A. Abraham, R.Falcon and R.Bello, (2009), pp.3 – 44.
B.K. Tripathy: On Approximation of classifications, rough equalities and rough equivalences”, Springer International studies in computational intelligence, vol.174, Rough Set Theory: A True landmark in Data Analysis, Ed: A. Abraham, R.Falcon and R.Bello, (2009), pp.85 – 133.
B.K. Tripathy: Anonymisation of social networks, Springer International book on Social Networks (London), Vol.2: computational Social Networks: Security and Privacy, Ed: A. Abraham, (2011), pp.269 - 310.
B.K. Tripathy and A.Ghosh: Data Clustering Algorithms using Rough sets, Handbook of research on Computational Intelligence for engineering, Science and Business, IGI Global Publications, (2013), pp.297-327.
B.K. Tripathy: Database anonymisation techniques with focus on uncertainty and multi-sensitive algorithms, Handbook of research on Computational Intelligence for engineering, Science and Business, IGI Global Publications, (2013), pp.364-383.
B.K. Tripathy and P.V.S.S.R.Chandramouli: Graph based segmentation of digital images, Edited volume, Handbook of research on Computational Intelligence for engineering, Science and Business, IGI Global Publications, (2013),pp.182-199.
B.K. Tripathy, J.Anuradha and Jagadeesh Kumar: Diagnosis of Learning Disability using ANN classification algorithm, Cambridge Scientific Publishers, vol.6, (Eds: E.Kaslik and S.Sivasundaram), Recent Advances in Dynamics and Control of Neural Networks, (2014), 978-1-908106-16-2, p.250.
B.K. Tripathy, M.K.Sishodia, S.Jain and A. Mitra: Privacy and Anonymisation in Social Networks, In: Social Networks- Mining, Visualisation and Security, Intelligent Systems Library, 65, Springer, (2014), DOI: 10.1007/978-3-319-05164-2_10©Springer International Publishing Switzerland, pp.243–270.
B.K. Tripathy, M.K.Sishodia and S.Jain: Societal Networks: The networks of dynamics of interpersonal associations, In: Social Networks- Mining, Visualisation and Security, Intelligent Systems Library, 65, Springer, (2014), DOI: 10.1007/978-3-319-05164-2_5©Springer International Publishing Switzerland, pp.101-127.
B.K. Tripathy and S.S.Gantayat: Application of Functional Approach to Lists for Development of Relational Model Databases and Petri Net Analysis, (Ed(s): B.K. Tripathy and D.P.Acharjya), Global Trends in Intelligent Computing Research and Development- Advances in Computational Intelligence and Robotics Book Series, IGI Publications, (2014), pp.407-444
B. K. Tripathy, D. P. Acharjya, B. D. Sahu, S. K. Jena and S. Mahapatra: Heuristic Resource Allocation Algorithms for Dynamic Load Balancing in Heterogeneous Distributed Computing System, (Ed(s): B.K. Tripathy and D.P.Acharjya), Advances in Secure Computing, Internet Services, and Applications, January, (2014),
B.K. Tripathy: Multi granular computing through rough sets, (Ed(s): B.K. Tripathy and D.P.Acharjya), Advances in Secure Computing, Internet Services and Applications – Advances in Information Security, Privacy and Ethics (AISPE) Book Series, IGI Publications, (2014), pp.1-34.
B.K. Tripathy: Rough Sets and Approximate Reasoning, (Ed(s): B.K. Tripathy and D.P.Acharjya), Global Trends in Intelligent Computing Research and Development- Advances in Computational Intelligence and Robotics Book Series, IGI Publications, (2014), pp.180-228.
B.K. Tripathy and P. Shivalkar: Rough Set based Green Cloud Computing in Emerging Markets, Encyclopedia of Information Science and technology, IGI publications, Chapter 103, (2014), pp.286-295.
B.K. Tripathy and J. Anuradha: An Uncertainty-Based Model for Optimized Multi-Label Classification, Handbook of Research on Swarm Intelligence in Engineering, A volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series, (Eds: Siddhartha Bhattacharyya and Paramartha Dutta), (2015), pp.40-75.
B.K. Tripathy and V. Santhi: Image Enhancement Techniques Using Particle Swarm Optimization, Handbook of Research on Swarm Intelligence in Engineering, A volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series, (Eds: Siddhartha Bhattacharyya and Paramartha Dutta), (2015), pp.336-357.
B.K. Tripathy and J.Anuradha: Uncertainty Based Hybrid particle Swarm Optimization techniques and their Applications, Multiobjective Swarm intelligence, Studies in Computational Intelligence, vol.591, (2015), pp. 143-169
B.K. Tripathy, Nishu Garg and P. Nikhitha: Introduction to Deep Learning, Cognitive Information Processing for Intelligent Computing and Deep Learning Applications, (Eds.) Dr. Leonid Perlovsky (Harvard University, USA) Dr. Gary Kuvich (Open Group Master Certified IT Architect, USA).for Info Sc edited volume (2015), IGI Publications
B.K. Tripathy and K. R. Arun: Soft Sets and its Applications, Handbook of Research on Generalized and Hybrid Set Structures and Applications for soft computing, Ed. Sunil Jacob John, IGI volume in ACIR Book Series, (2016), pp.65-85
B.K. Tripathy: On Theory of Multisets and Applications, Handbook of Research on Generalized and Hybrid Set Structures and Applications for soft computing, Ed. Sunil Jacob John, IGI volume in ACIR Book Series, (2016), pp.1-22
B.K. Tripathy and Sharmila Banu: Rough Fuzzy Set Theory and Neighbourhood Approximation Based Modelling for Spatial Epidemiology, Handbook of BeginResearch on Computational Intelligence Applications in Bioinformatics, (Eds: Sujata Das and Bidyadhar Subudhi), IGI publications, Chapter-6, (2016), pp.108-118.
B.K. Tripathy: Application of Rough Set Based Models in Medical Diagnosis, Handbook of Research on Computational Intelligence Applications in Bioinformatics, (Eds: Sujata Das and Bidyadhar Subudhi), IGI publications, Chapter-8, (2016), pp.144-168.
B.K. Tripathy, R.K.Mohanty and Sooraj, T.R.: Application of uncertainty models in Bioinformatics, Handbook of research on Computational Intelligence applications in Bio- Informatics, (Eds: Sujata Das and Bidyadhar Subudhi), (Chapter 9), (2016), IGI publications, pp.169-182.
B.K. Tripathy, J. Anuradha, A. Prathik: Recent Trends in Spatial datamining and its challenges, Handbook of research on Computational Intelligence applications in Bio- Informatics, (Eds: Sujata Das and Bidyadhar Subudhi), IGI publications, Chapter-3, (2016), pp.37-54.
B.K. Tripathy, D. Dutta and Chido, T.: On the research and development of Social Internet of Things, Springer Edited volume: Internet of Things (IoT) in 5G Mobile technologies,( Eds: C. X. Mavromoustakis, G. Mastorakis and J. M. Batalla), (2016), pp.153-173.
B.K. Tripathy and Deepthi, H.: Fuzzy set and rough set based Data Clustering Algorithms in Decision Making, IGI Edited volume: Fuzzy and Rough Set Theory in Organizational Decision Making (Editors: S. Arun Kumar, Xiao-Zhi Gao and Ajith Abraham), Chapter-6, (2016), pp. 116-136.
B.K. Tripathy, T.R.Sooraj, R.K.Mohanty and Arun, K. R.: Parameter reduction in soft set models and application in decision making, IGI Edited volume: Fuzzy and Rough Set Theory in Organizational Decision Making (editors: S. Arun Kumar, Xiao-Zhi Gao and Ajith Abraham), Chapter-15, (2016), pp. 331-354.
B.K. Tripathy and P. Swarnalatha: Hybrid uncertainty-based techniques for segmentation of satellite imagery and applications, Hybrid Soft Computing for Image Segmentation, Springer Edited Volume, (Eds: S. Bhattacharyya, P. Dutta, S. De and G. Klepac) , (2016), pp.163-183.
B.K. Tripathy and Deepthi, P.H.: Uncertainty-Based Spatial Data Clustering Algorithms for Image Segmentation, Hybrid Soft Computing for Image Segmentation, Springer Edited Volume, (Eds: S. Bhattacharyya, P. Dutta, S. De and G. Klepac), (2016), pp. 209-227.
B.K. Tripathy and Deepthi, P.H.: Adaptive Clustering Techniques and their Applications, IGI edited volume: Intelligent Multidimensional Data Clustering and Analysis, IGI publications, (Eds: S. Bhattacharya, S. De, I. Pan, P. Dutta), Chapter-15, (2017), pp.380-397.
B.K. Tripathy and Deepthi, P.H.: An Investigation of Fuzzy Techniques in clustering of Big Data, Computational Intelligence Applications in Business Intelligence and Big Data Analytics, (Eds: V. Sugumaran, S. Arun Kumar, T. Arun Kumar), CRC Press, (Taylor & Francis Group), (2017), Chapter-11.
B.K. Tripathy: Rough set and neighbourhood systems in Big Data Analysis, Computational Intelligence Applications in Business Intelligence and Big Data Analytics, (Eds: V. Sugumaran, S. Arun Kumar, T. Arun Kumar), CRC Press, (Taylor & Francis Group), (2017), Chapter-10.
B.K. Tripathy and Deepthi, P.H.: Uncertainty based Clustering Algorithms for Medical Image Analysis, Edited Volume: Hybrid Intelligence for Image Analysis and Understanding, Wiley Publications, (Editors: S. Bhattacharya, I. Pan, A. Mukherjee, P. Dutta), Wiley Publications, (2017), Chapter-12, pp.283-295.
B.K. Tripathy and Deepthi, P.H.: Fuzziness in Ant Colony Optimization and their Application, Edited Volume: Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms, (Editors: S. Dash, B.K. Tripathy, A.U. Rahman),IGI publications, (2017), Chapter-18, pp.363-376.
B.K. Tripathy, Sooraj T.R. and R.K. Mohanty: Mimetic Algorithms and their Applications in Computer Science, Edited Volume: Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms, (Editors: S. Dash, B.K. Tripathy, A.U. Rahman), (2017), Chapter- 4, pp.73-93.
B.K. Tripathy and G. Sasikumar: Intelligent Techniques to identify epilepsy using fuzzy firefly system for brain signal, Edited Volume: Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms, (Editors: S. Dash, B.K. Tripathy, A.U. Rahman), (2017), Chapter-20, pp.400-412.
B.K. Tripathy and Deepthi, P.H.: Quantum Inspired Computational Intelligent Techniques in Image Segmentation, Elsevier Edited Volume: Quantum Inspired Computational Intelligence: Research and Applications, (Editors: S. Bhattacharya, U. Maulik, P. Dutta), (2017), pp.233-258.
B.K. Tripathy, Sooraj, T.R and Mohanty, R.K.: Naming Services in Internet of Things, Internet of Things (IoT): Technologies, Applications, Challenges and Solutions, 1st edition. 2017 (CRC Publications), (Eds: B. K. Tripathy and J. Anuradha), Chapter-9, pp.167-188.
B.K. Tripathy, G.K. Panda and M.K. Padhi: Evolution of social IoT world: security issues and research challenges, Internet of Things (IoT): Technologies, Applications, Challenges and Solutions, 1st edition. 2017 (CRC Publications), (Eds: B. K. Tripathy and J. Anuradha), Chapter-5, pp.77-98.
B.K. Tripathy and H.K. Tripathy: Applications of IoT to address the solutions for children affected by autism spectrum disorders (ASDs), Internet of Things (IoT): Technologies, Applications, Challenges and Solutions, 1st edition. 2017 (CRC Publications), (Eds: B. K. Tripathy and J. Anuradha), Chapter-14, pp.295-325.
B.K. Tripathy and Sandhu, S.: Knowledge management using recommender systems, Springer Edited volume- Knowledge Computing and its Applications, (Eds. Margret Anouncia and Kock Wiil), (2017), Chapter-2, pp.183-207.
H. Jain, R. Serrao and B. K. Tripathy: Hybrid Intelligence Techniques for Handwritten Digit Recognition, in: Hybrid Intelligent Techniques for Pattern Analysis and Understanding, CRC Press, Taylor & Francis Group, (Eds: S. Bhattacharyya, A. Mukherjee, I. Pan, P. Dutta and A. K. Bhaumik), Chapter-2, (2017), pp.23-48.
Lijo, V. P., Gnanasigamani, L. J., Seetha, H., & Tripathy, B. K.: Big Data Management Tools for Hadoop. In NoSQL: Database for Storage and Retrieval of Data in Cloud (2017) pp. 199-214. Chapman and Hall/CRC. ISBN: 9781315155579
Golani N., Khandelwal I., Tripathy B.K. (2017): Hybrid Intelligent Techniques in Text Mining and Analysis of Social Networks and Media Data. In: Banati H., Bhattacharyya S., Mani A., Köppen M. (eds) Hybrid Intelligence for Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-65139-2_1, Chapter-1, pp.1-24.
B. K. Tripathy, Hari Seetha and M. K. Murthy: Uncertainty Based Clustering Algorithms for Large Data Sets, In: Modern Technologies for Big Data Classification and Clustering, IGI Edited volume, Chapter-1, (2017), pp.1-33.
B.K. Tripathy, T.R. Sooraj and R.K.Mohanty: Application of soft set in game theory, In: Encyclopedia for Science and technology, (Ed. Dr. Mehdi Khosrow-Pour) IGI publications, Chapter-281, (2018), pp.3226-3236.
B.K. Tripathy and Sharmila Banu: Neighborhood Rough Sets Based Spatial Data Analytics, Encyclopedia for Science and technology, (Ed. Dr. Mehdi Khosrow-Pour) IGI publications, (2018), Chapter-160, pp.1835-1844.
B.K. Tripathy and M. Panda: Internet of things and artificial intelligence: A new road to the future digital world, Internet of Things (IoT): Technologies, Applications, Challenges and Solutions, 1st edition, 2018 (CRC Publications), (Eds: B. K. Tripathy and J. Anuradha), Chapter-3, pp.41-58.
B.K. Tripathy, Raju, H. and Kaul, D.: Quantum Computing inspired algorithms in machine learning, Bhattacharya, Quantum inspired intelligent systems for multimedia data analysis, (Eds. S. Bhattacharya), (2018), IGI Publications, Chapter-1, pp.1-26.
B.K. Tripathy, Raju, H. and Kaul, D.: Deep learning in health care, Accepted in Deep learning for remote sensing and GIS: Frontier advancements and applications. Eds. Santhi, V., 2018 (CRC publications)
B.K. Tripathy, Sooraj, T.R and Mohanty, R.K.: Data Mining Techniques in Big Data for Social Network, Edited volume-Big Data Analytics: A social network approach-Taylor and Francis Publisher, (Eds: M. Panda, A. E. Hassanien and A. Abraham), (2018), Chapter- 3, pp. 21.
B.K. Tripathy, Dutta Deboleena: Trustworthiness in the Social internet of Things (SIoT), Edited volume- Big Data Analytics: A social network approach-Taylor and Francis Publisher, (Eds: M. Panda, A. E. Hassanien and A. Abraham), (2018), Chapter- 11 pp. 18
B.K. Tripathy, Sooraj, T.R and Mohanty, R.K.: Image Segmentation using metaheuristic based deformable models, Springer Edited volume-Hybrid Metaheuristics for Image Analysis, (Ed: S. Bhattacharyya), (2018), Chapter-6, pp.145-161.
Adate, A., and Tripathy, B. K.: Deep learning techniques for image processing, In S. Bhattacharyya, H. Bhaumik, A. Mukherjee & S. De (Eds.), Machine Learning for Big Data Analysis, Berlin, Boston: De Gruyter, (2018), pp. 69–90. DOI: 10.1515/9783110551433-00357.
B. K. Tripathy, T. R. Sooraj, R. K. Mohanty: Rough set and soft set models in image processing. In Siddhartha Bhattacharyya, Indrajit Pan, Abhijit Das, Shibakali Gupta (Eds.), Intelligent Multimedia Data Analysis, (2019), (pp.123–144), Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110552072-006
U. Singhania and B. K. Tripathy: Predictive modeling and data analysis using machine learning, accepted in Emerging Trends and Applications of Machine Learning, IGI Global Publications, (Eds. Anand Nayar et al), 2019.
B. K. Tripathy, R. K. Mohanty and Sooraj, T. R.: Application of uncertainty models in Bioinformatics, Management Association, Information Resources, Editor: Biotechnology: Concepts, Methodologies, Tools, and Applications, IGI Global, (2019). Chapter 6, pp.141-155, http://doi:10.4018/978-1-5225-8903-7
Divya Zion G., Tripathy B.K.: Comparative Analysis of Tools for Big Data Visualization and Challenges. In: Anouncia S., Gohel H., Vairamuthu S. (eds.) Data Visualization, Springer, Singapore, (2020), pp. 33=52.
Ankita Bose and B. K. Tripathy: Deep Learning for Audio Signal Classification, (Ed: S. Bhattacharyya, A. E. Hassanian, S. Saha and B. K. Tripathy, Deep Learning Research and Applications), De Gruyter Publications, (2020), pp. 105-136. DOI: 10.1515/9783110670905-00660.
Amit Adate, B. K. Tripathy, Dhruv Arya and Aditya Shaha: Impact of Deep Neural Learning on Artificial Intelligence Research (Ed: S. Bhattacharyya, A. E. Hassanian, S. Saha and B. K. Tripathy, Deep Learning Research and Applications), De Gruyter Publications, (2020), pp.69-84. DOI: 10.1515/9783110670905-004
Karan Maheswari, Aditya Shaha, Dhruv Arya, B. K. Tripathy and R. Rajkumar: Convolutional Neural Networks: A Bottom-Up Approach, (Ed: S. Bhattacharyya, A. E. Hassanian, S. Saha and B.K. Tripathy, Deep Learning Research with Engineering Applications), ), De Gruyter Publications, (2020), pp.21-50. DOI: 10.1515/9783110670905-002
D. Preethi, Neelu Khare, and B. K. Tripathy: Security and Privacy Issues in Blockchain Technology, (Eds): Rashmi Agrawal, Jyotirmoy Chatterjee, Abhishek Kumar, Pramod Singh Rathore, Blockchain Technology and the Internet of Things, Challenges and Applications in Bitcoin and Security, (2020), Chapter 11, pp.
B. K. Tripathy and Anmol Agrawal: A Comprehensive Analysis of Kernelized Hybrid Clustering Algorithms with Firefly and Fuzzy Firefly Algorithms, Computational Intelligence in Data Mining, Springer, Singapore, (2020), pp. 351-365.
B. K. Tripathy and A. Adate: Impact of Deep Neural Learning on Artificial Intelligence Research, Chapter-8, (eds: D. P. Acharjya et al), Springer publications, (2021).
B. K. Tripathy, B. Parimala and G. Thippa Reddy: Prediction of Diseases using Innovative Classification and Regression Models, (Eds.: S. S. Roy et al), In: Data Analytics in Biomedical Engineering and Healthcare, Academic Press, (2021), pp.179-203, https://doi.org/10.1016/B978-0-12-819314-3.00012-4.
Udit Singhania and B. K. Tripathy: Text-Based Image Retrieval Using Deep Learning, Encyclopedia of Information Science and Technology, Fifth Edition, (2021), pages 11, DOI: 10.4018/978-1-7998-3479-3.ch007
Varshini Prakash and B. K. Tripathy: Recent Advancements in Automatic Sign Language Recognition (SLR), Eds: Sourav De and Paramartha Dutta, Computational, Intelligence for Human Action Recognition, CRC press, (2021), pp.20-24.
P. Gupta, S. Bhachawat, K. Dhyani and B. K. Tripathy: A study of gene characteristics and their applications using Deep Learning, (Chapter 4), Studies in Big Data, Vol. 103, Sanjiban Sekhar Roy and Y.-H. Taguchi (Eds): Handbook of Machine Learning Applications for Genomics (2021). ISBN: 978-981-16-9157-7, 496166_1_En
P. Bhardwaj, T. Guhan and B. K. Tripathy: Computational Biology in the Lens of CNN. In: Roy, S.S., Taguchi, YH. (eds) Handbook of Machine Learning Applications for Genomics. Studies in Big Data, vol 103. Springer, Singapore. https://doi.org/10.1007/978-981-16-9158-4_5 (Chapter 5), (2021). ISBN: 978-981-16-9157-7 496166_1_En
V. Srividya and B. K. Tripathy: Role of Blockchain in the music industry, in the edited volume- Blockchain Technology: Exploring Opportunities, Challenges, and Applications, Upcoming Book, CRC Press, Eds: Vinod Kumar Shukla et al., Taylor and Francis Group, (2021).
Muskan Gupta and B. K. Tripathy: On Behavioral Biometrics, accepted for publication in Encyclopedia of Data Science and Machine Learning, IGI publications, (2021).
Dishit Duggar, Sarang Bang, B. K. Tripathy: Applications of Big Data Analytics in E-governance and other Aspects of Society, accepted for publication in Encyclopedia of Data Science and Machine Learning, IGI publications, (2021)
Tripathy, B.K., Parikh, S., Jhanwar, R., Ajay, P. (2022).: The Role of Machine Learning Techniques in SCM—An Analysis. In: Perumal, K., Chowdhary, C.L., Chella, L. (eds) Innovative Supply Chain Management via Digitalization and Artificial Intelligence. Studies in Systems, Decision and Control, vol 424. Springer, Singapore. https://doi.org/10.1007/978-981-19-0240-6_2
A. Adate and B. K. Tripathy: A Survey on Deep Learning Methodologies of Recent Applications, Eds: Acharjya D.P., Mitra A., Zaman N. Deep Learning in Data Analytics- Recent Techniques, Practices and Applications), Studies in Big Data, vol. 91. Springer, Cham (2022), pp. 145-170. DOI: 10.1007/978-3-030-75855-4_9
D. Kaul, H. Raju and B. K. Tripathy: Deep Learning in Healthcare, in: Deep Learning in Data Analytics, Eds: Acharjya D.P., Mitra A., Zaman N. Deep Learning in Data Analytics- Recent Techniques, Practices and Applications), Studies in Big Data, vol. 91. Springer, Cham (2022), pp. 97-115. DOI: 10.1007/978-3-030-75855-4_6
Srividya, V., Tripathy, B.K. (2022).: Role of Big Data in Supply Chain Management. In: Perumal, K., Chowdhary, C.L., Chella, L. (eds) Innovative Supply Chain Management via Digitalization and Artificial Intelligence. Studies in Systems, Decision and Control, vol 424. Springer, Singapore. https://doi.org/10.1007/978-981-19-0240-6_3
B. K. Tripathy, S. Parikh, P. Ajay and C. Magapu: Brain MRI segmentation techniques based on CNN and its variants, (Chapter-10), Brain Tumor MRI Image Segmentation Using Deep Learning Techniques (Editor: J. Chaki), Elsevier publications (2022), pp.161-182. DOI: 10.1016/B978-0-323-91171-9.00001-6
Prabhavathy, P., Tripathy, B.K., Venkatesan, M. (2022).: Analysis of Diabetic Retinopathy Detection Techniques Using CNN Models. In: Mishra, S., Tripathy, H.K., Mallick, P., Shaalan, K. (eds) Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. Studies in Computational Intelligence, vol 1024. Springer, Singapore. https://doi.org/10.1007/978-981-19-1076-0_6
Mohanty, R.K., Tripathy, B.K. (2022).: Decision-Making in Healthcare Nanoinformatics. In: Tripathy, B.K., Lingras, P., Kar, A.K., Chowdhary, C.L. (eds) Next Generation Healthcare Informatics. Studies in Computational Intelligence, vol 1039. Springer, Singapore. https://doi.org/10.1007/978-981-19-2416-3_6
Jain, A., Goel, I., Maheshwari, S., Tripathy, B.K. (2022).: Contemporary Technologies to Combat Pandemics and Epidemics. In: Tripathy, B.K., Lingras, P., Kar, A.K., Chowdhary, C.L. (eds) Next Generation Healthcare Informatics. Studies in Computational Intelligence, vol 1039. Springer, Singapore. https://doi.org/10.1007/978-981-19-2416-3_11
Mitra, A., Roy, U., Tripathy, B.K. (2022): IoMT in Healthcare Industry—Concepts and Applications. In: Tripathy, B.K., Lingras, P., Kar, A.K., Chowdhary, C.L. (eds) Next Generation Healthcare Informatics, Studies in Computational Intelligence, vol 1039. Springer, Singapore. https://doi.org/10.1007/978-981-19-2416-3_8
B. K. Tripathy, A. Salaria and A. Ambastha (2022): CNN in Food Industry: Current Practices and Future Trends, In: Artificial Intelligence: A Real Opportunity in Food Industries, (Eds. Aboul Ella Hassanien and Mona Soliman, Studies in Computational Intelligence book series (SCI, volume 1000), (2022), pp.55-77.
Vaibhav Bhartia, Tushar Mishra & B. K. Tripathy (2023): Genetic Optimization and Their Applications, (Eds. J.R. Nayak, S. Varshney and C. Sekhar), Modelling and Applications in Operations Research, CRC Press, Taylor and Francis group, (2023).
B. K. Tripathy, Astha, Anushka Patil, Savvy Gupta and Preeti Kumari (2023): Diagnosis of Parkinson’s disease using Deep learning," for the upcoming book, " Internet of Things based Machine Learning in Healthcare: Technology and Applications.", published with CRC press.
B. K. Tripathy, Astha, Anushka Patil, Savvy Gupta and Preeti Kumari (2023): Analysis and Identification of personality traits using Pattern recognition and Artificial Intelligence, for the book AI for pattern analysis of personality dimensions, Cambridge Sholar’s Publishing, K. Vijayalaxmi.
Neel Ghosal and B. K. Tripathy (2023): Real time Visual Data Processing using Neuromorphic Systems, Edited volume, (Eds. H. Garg, J. M. Chatterjee, R. Sujatha and S. Modi), A Premier to Neuromorphic Computing, Elsevier publications.
Vaibhav Bhartia, Tusar K. Mishra and B. K. Tripathy (2023): Automatic Segmentation of Multiple Organs on CT images using Deep Learning Approaches, (Eds. Sujata Dash, Suvendu K. Pani, Wellington P. D. S. and J. Chan), Mining Biomedical Text, Images, and Visual features towards Information Retrieval, Elsevier publications
B. K. Tripathy and Apoorv Singh (2023): Role of Quantum Computing in a Data Analytics Environment, Handbook of Research on Applications of AI, Digital Twin, and Internet of Things for Sustainable Development, IGI publications, DOI: 10.4018/978-1-6684-6821-0.ch014
Apoorv Singh, Arjunaditya and B. K. Tripathy (2023): Detection of Cancer using Deep learning Techniques, (Eds. S. S. Roy, C. H. Hsu and V. Kagita), Handbook of Deep Learning Applications in Image Analysis, Springer Nature Singapore Pte Ltd publications).
L. Sandeep Kumar, G. K. Panda and B. K. Tripathy (2023): Hyperspectral Images: A Succinct Analytical Deep Learning Study, (Eds. S. S. Roy, C. H. Hsu and V. Kagita), Handbook of Deep Learning Applications in Image Analysis, Springer Nature Singapore Pte Ltd publications).
B. K. Tripathy, Sarthak Goel and Ayushi Tiwari (2023): Deep Learning for streamlining Medical Image Processing, (Eds. IET publications.
Sarthak Goel and B. K. Tripathy (2023): QIOT- QUANTUM COMPUTING FOR IOT SECURITY, (Eds. B. K. Mishra et al), Artificial Intelligence- Web of Things for Emerging Computer Applications, NOVA publications, USA.
Anish Sudhir Ghiya, Vaibhav Vijay, Aditi Ranganath, Prateek Chaturvedi, Sharmila Banu Kather, Balakrushna Tripathy (2023): Weather Classification- Image Embedding Using Convolutional Autoencoder and Predictive Analysis Based on Stacked Generalization, Research Advances in Intelligent Computing, (Eds. Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Lalit Garg), Boca Raton, CRC Press, (2023), 14 pages, eBook ISBN: 9781003320340, DOI: 10.1201/9781003320340
Arka De, Sameeksha Saraf, Tusar Kanti Mishra, B. K. Tripathy: (2023): Role of Machine learning and Deep learning in Smart Sensors,
Rahul Sai R. S., Sharmila Banu K., B. K. Tripathy (2023): Automated Medical Report Generation on Chest X-Ray Images using Co-Attention mechanism. In: Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization (Ed.) Siddhartha Bhattacharyya, Chapter – 8, pp.
Nivedita, B. K. Tripathy (2023): Audio to Indian Sign Language Interpreter (AISLI) using Machine Translation and NLP Techniques. In: Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization (Ed.) Siddhartha Bhattacharyya, Chapter – 12, pp.
Sudershan Sridhar, Sharmila Banu K., B. K. Tripathy (2023): Voice Recognition System Using Deep Learning. In: Hybrid Computational Intelligent Systems: Modeling, Simulation and Optimization (Ed.) Siddhartha Bhattacharyya, Chapter – 19, pp.

Research Edited Volumes

B.K. Tripathy and D.P.Acharjya: Global Trends in Intelligent Computing research and Development- Advances in Computational Intelligent and Robotics Book Series, IGI Publications, (2014). ISBN: 9781466649378; 1466649364; 9781466649361
B.K. Tripathy and D.P.Acharjya: Advances in Secure Computing, Internet Services and Applications – Advances in Information Security, privacy and Ethics (AISPE) Book Series, IGI Publications, (2014). ISBN: 9781466649415; 1466649402; 9781466649408
Sujata Dash, B. K. Tripathy and Ata Ur Rahman: Modeling, Analysis and Application on Nature-Inspired Metaheuristic Algorithms, IGI Global USA, pp. 1-538, (2017). ISBN13: 9781522528579, DOI: 10.4018/978-1-5225-2857-9
Hari Seetha, B. K. Tripathy and M. K. Murthy: Modern Technologies for Big Data Classification and Clustering, IGI Edited volume, (2017). ISBN: 9781522528067; 1522528059; 9781522528050
B.K. Tripathy and J. Anuradha: Internet of Things (IoT): Technologies, Applications, challenges and Solutions CRC Press Edited Volume (2017). ISBN: 9781351980296; 9781138035003
P.M. Durai Raj Vincent, Aswani Kumar Cherukuri and, B.K. Tripathy (2019): Proceedings of 15th International Conference on Science, Engineering and Technology, Vol-1, SITE, VIT, Vellore. ISBN: 97881942134-68
P.M. Durai Raj Vincent, Aswani Kumar Cherukuri and, B.K. Tripathy (2019): Proceedings of 15th International Conference on Science, Engineering and Technology, Vol-2, SITE, VIT, Vellore. ISBN: 97881942134-75
S. Bhattacharyya, V. Snasel, A. E. Hassanian, S. Saha and B. K. Tripathy: Deep Learning Research with Engineering Applications, De Gruyter Publications, (2020). ISBN: 3110670909, 9783110670905. DOI: 10.1515/9783110670905
B. K. Tripathy, Chiranjilal, C, Arpan Kar and P. Lingras: Next Generation Healthcare Informatics, Springer AISC series, (2022).
B. K. Tripathy and Seetha Hari: Transparent, Interpretable and Explainable AI Systems, CRC Press Edited Volume (2023)

Research Monographs

B. K. Tripathy and Kiran Baktha: Security, Privacy, and Anonymization in Social Networks: Emerging Research and Opportunities, IGI Publications, January 2018. ISBN: 9781522551591; 1522551581; 9781522551584
B. K. Tripathy, Anveshritaa, S and Shruthi G.: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization, CRC press, Taylor and Francis, (2021). ISBN: 9781003190554

Books Published

B.K. Tripathy and J. Anuradha: Soft Computing- Advances and Applications, Cengage Learning publishers, New Delhi, (2015). ASIN : 8131526194, ISBN-10 : 9788131526194,
B.K. Tripathy and P.V.S.S.R Chandramoulli: Computer Graphics and Applications, Ane Books Private limited, Chennai, (2016). ISBN: 9789385462047
B.K. Tripathy and J. Anuradha: Soft Computing: Advances and Applications 1st Edition, Kindle Edition, Cengage India; 1st edition (21 August 2018), ASIN: B07GQYP6QV, ISBN-13 (978-8131526194).

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