| Crop yield prediction using machine learning algorithms A Nigam, S Garg, A Agrawal, P Agrawal 2019 Fifth International Conference on Image Information Processing (ICIIP …, 2019 | 182 | 2019 |
| Nature-inspired algorithms: state-of-art, problems and prospects P Agarwal, S Mehta International Journal of Computer Applications 100 (14), 14-21, 2014 | 107 | 2014 |
| Quantum inspired Particle Swarm Optimization with guided exploration for function optimization RK Agrawal, B Kaur, P Agarwal Applied Soft Computing 102, 107122, 2021 | 44 | 2021 |
| 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 |
| 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 |
| Multi-objective particle swarm optimization with guided exploration for multimodal problems P Agarwal, RK Agrawal, B Kaur Applied Soft Computing 120, 108684, 2022 | 26 | 2022 |
| AD3S: Advanced driver drowsiness detection system using machine learning S Mehta, P Mishra, AJ Bhatt, P Agarwal 2019 Fifth International Conference on Image Information Processing (ICIIP …, 2019 | 26 | 2019 |
| 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 |
| A meta-heuristic density-based subspace clustering algorithm for high-dimensional data P Agarwal, S Mehta, A Abraham Soft Computing 25, 10237-10256, 2021 | 21 | 2021 |
| 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 | 19 | 2019 |
| 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 |
| Empirical Analysis of Bitcoin Market Volatility using Supervised Learning Approach PA Hrishikesh Singh Eleventh International Conference on Contemporary Computing (IC3), 2018 | 15 | 2018 |
| 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 |
| Detecting grades of diabetic retinopathy by extraction of retinal lesions using digital fundus images A Dutta, P Agarwal, A Mittal, S Khandelwal Research on Biomedical Engineering 37, 641-656, 2021 | 10 | 2021 |
| Subspace clustering of high dimensional data using differential evolution P Agarwal, S Mehta Nature-inspired algorithms for big data frameworks, 47-74, 2019 | 10 | 2019 |
| Detection of diabetic retinopathy using ensemble learning techniques A Dutta, P Agarwal, A Mittal, S Khandelwal, S Mehta Fundamentals and methods of machine and deep learning: Algorithms, tools and …, 2022 | 6 | 2022 |
| Analyzing subspace clustering approaches for high dimensional data P Agarwal, S Mehta Artificial Intelligence for a Sustainable Industry 4.0, 169-195, 2021 | 5 | 2021 |
| Improved whale optimization variants for SLA-compliant placement of virtual machines in cloud data centers S Mehta, P Kaur, P Agarwal Multimedia Tools and Applications 83 (1), 149-171, 2024 | 4 | 2024 |
| Intelligent Intrusion Detection System Optimized using Nature-Inspired Algorithms M Zaid, P Agarwal 2022 1st International Conference on Informatics (ICI), 80-85, 2022 | 4 | 2022 |
| An empirical study of nature-inspired algorithms for feature selection in medical applications V Arora, P Agarwal Annals of Data Science, 1-46, 2024 | 3 | 2024 |
Prof. Shikha MehtaProfessor, Jaypee Institute of Information technologyVerified email at jiit.ac.in
