| Internet of Things and data analytics: A current review G Mohindru, K Mondal, H Banka WIREs Data Mining Knowl Discov. 10 (03), 1-27, 2019 | 39 | 2019 |
| Different hybrid machine intelligence techniques for handling IoT‐based imbalanced data G Mohindru, K Mondal, H Banka CAAI Transactions on Intelligence Technology 6 (1), 1-12, 2021 | 28 | 2021 |
| Virtual Reality:Book Chapter in Computer Graphics Multimedia and Animation[Chapter 15] M Pakhira, K Mondal PHI Learning Pvt. Ltd 2, 311-321, 2008 | 19* | 2008 |
| Fuzzy Logic Based Gray Image Extraction and Segmentation K Mondal, P Dutta, S Bhattacharyya International Journal of Scientific and Engineering Research (IJSER) Volume 3, 2012 | 17 | 2012 |
| Application of data driven machine learning approach for modelling of non-linear filtration through granular porous media A Banerjee, S Pasupuleti, K Mondal, MM Nezhad International Journal of Heat and Mass Transfer 179, 121650, 2021 | 15 | 2021 |
| Gray Image extraction using Fuzzy Logic K Mondal, P Dutta, S Bhattacharyya IEEE Second International Conference on Advanced Computing & Communication …, 2012 | 13 | 2012 |
| Design issues of big data parallelisms K Mondal Information Systems Design and Intelligent Applications: Proceedings of …, 2016 | 12 | 2016 |
| Big data parallelism: challenges in different computational paradigms K Mondal, P Dutta Proceedings of the 2015 Third International Conference on Computer …, 2015 | 12 | 2015 |
| Intelligent salp swarm scheduler with fitness based quasi-reflection method for scientific workflows in hybrid cloud-fog environment N Rizvi, D Ramesh, PCS Rao, K Mondal IEEE Transactions on Automation Science and Engineering 20 (2), 862-877, 2022 | 10 | 2022 |
| Big Data Parallelism: Issues in different X-Information Paradigms K Mondal Procedia Computer Science 50, 395-400, 2015 | 10 | 2015 |
| NCS based ultra low power optimized machine learning techniques for image classification N Tiwari, K Mondal IEEE Region 10 Symposium Tensymp, 750-753, 2019 | 8 | 2019 |
| Implementation of the Behaviour and Structure of the Multihop mobile environment as a Push-Down Automata and Birth and Death based Statistical Model A Banerjee, P Dutta, K Majumdar, K Mondal MOBICOMNET-2004, 45-51, 2004 | 8 | 2004 |
| Improved chemical reaction optimization with fitness-based quasi-reflection method for scheduling in hybrid cloud-fog environment D Ramesh, N Rizvi, PCS Rao, EA Sundararajan, K Mondal, G Srivastava, ... IEEE transactions on network and service management 21 (1), 653-669, 2023 | 7 | 2023 |
| Application design and analysis of different hybrid intelligent techniques K Mondal International Journal of Hybrid Intelligent Systems 13 (3-4), 173-181, 2017 | 6 | 2017 |
| Efficient fuzzy rule base design using image features for image extraction and segmentation K Mondal, P Dutta, S Bhattacharyya 2012 Fourth International Conference on Computational Intelligence and …, 2012 | 6 | 2012 |
| Feature based fuzzy rule base design for image extraction K Mondal, P Dutta, S Bhattacharyya arXiv preprint arXiv:1206.3633, 2012 | 6 | 2012 |
| Different visualization issues with Big Data K Mondal Proceedings of First International Conference on Information and …, 2016 | 5 | 2016 |
| A Birth and Death based Mathematical Model for Tracking Mobile nodes in a Multihop Environment A Banerjee, P Dutta, K Majumdar, K Mondal Business and Industry Group, CSI Kolkata Chapter, 52, 2004 | 5 | 2004 |
| Mining challenges in large-scale IoT data framework–a machine learning perspective G Mohindru, K Mondal, P Dutta, H Banka Advanced Data Mining Tools and Methods for Social Computing, 239-259, 2022 | 3 | 2022 |
| A Novel Fuzzy Rule Guided Intelligent Technique for Gray Image Extraction and Segmentation K Mondal IGI Global, 2013 | 2 | 2013 |
Dr. Paramartha DuttaDepartment of Computer and System SciencesVerifierad e-postadress på visva-bharati.ac.in