| Resource provisioning and work flow scheduling in clouds using augmented Shuffled Frog Leaping Algorithm P Kaur, S Mehta Journal of Parallel and Distributed Computing 101, 41-50, 2017 | 157 | 2017 |
| Nature-inspired algorithms: state-of-art, problems and prospects P Agarwal, S Mehta International Journal of Computer Applications 100 (14), 14-21, 2014 | 110 | 2014 |
| Concept drift in streaming data classification: algorithms, platforms and issues S Mehta Procedia computer science 122, 804-811, 2017 | 84 | 2017 |
| A comparative study of ensemble learning methods for classification in bioinformatics A Verma, S Mehta 2017 7th International Conference on Cloud Computing, Data Science …, 2017 | 75 | 2017 |
| Empirical analysis of five nature-inspired algorithms on real parameter optimization problems P Agarwal, S Mehta Artificial Intelligence Review 50, 383-439, 2018 | 30 | 2018 |
| Social influence maximization using genetic algorithm with dynamic probabilities S Agarwal, S Mehta 2018 Eleventh International Conference on Contemporary Computing (IC3), 1-6, 2018 | 27 | 2018 |
| Enhanced flower pollination algorithm on data clustering P Agarwal, S Mehta International Journal of Computers and Applications 38 (2-3), 144-155, 2016 | 27 | 2016 |
| Memetic collaborative filtering based recommender system H Banati, S Mehta 2010 Second Vaagdevi International Conference on Information Technology for …, 2010 | 24 | 2010 |
| Differential bond energy algorithm for optimal vertical fragmentation of distributed databases S Mehta, P Agarwal, P Shrivastava, J Barlawala Journal of King Saud University-Computer and Information Sciences 34 (1 …, 2022 | 23 | 2022 |
| Effective influence estimation in twitter using temporal, profile, structural and interaction characteristics S Agarwal, S Mehta Information Processing & Management 57 (6), 102321, 2020 | 22 | 2020 |
| Ensemble learning approach for enhanced stock prediction S Mehta, P Rana, S Singh, A Sharma, P Agarwal 2019 twelfth international conference on contemporary computing (IC3), 1-5, 2019 | 21 | 2019 |
| Cricket team prediction with hadoop: statistical modeling approach S Agarwal, L Yadav, S Mehta Procedia Computer Science 122, 525-532, 2017 | 21 | 2017 |
| A meta-heuristic density-based subspace clustering algorithm for high-dimensional data P Agarwal, S Mehta, A Abraham Soft Computing 25, 10237-10256, 2021 | 20 | 2021 |
| A Multi-Perspective Evaluation of ma and ga for collaborative Filtering Recommender System H Banati, S Mehta International journal of computer science & information Technology (IJCSIT …, 2010 | 20 | 2010 |
| Comparative analysis of nature inspired algorithms on data clustering P Agarwal, S Mehta 2015 IEEE International Conference on Research in Computational Intelligence …, 2015 | 18 | 2015 |
| Context aware filtering using social behavior of frogs S Mehta, H Banati Swarm and Evolutionary Computation 17, 25-36, 2014 | 17 | 2014 |
| Are Tweets The Real Estimators Of Election Results? SM Munaza Ramzan,E. Annapoorna Proceedings of 2017 Tenth International Conference on Contemporary Computing …, 2017 | 14* | 2017 |
| Efficient computation offloading in mobile cloud computing with nature-inspired algorithms S Mehta, P Kaur International Journal of Computational Intelligence and Applications 18 (04 …, 2019 | 13 | 2019 |
| An intelligent approach for virtual chemistry laboratory S Mehta, M Bajaj, H Banati Handbook of Research on Advanced Hybrid Intelligent Techniques and …, 2016 | 13 | 2016 |
| ABC_DE_FP: a novel hybrid algorithm for complex continuous optimisation problems P Agarwal, S Mehta International Journal of Bio-Inspired Computation 14 (1), 46-61, 2019 | 12 | 2019 |
Parul AgarwalJaypee Institute of Information TechnologyVerified email at jiit.ac.in
