| A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm S Lalwani, S Singhal, R Kumar, N Gupta Transactions on combinatorics 2 (1), 39-101, 2013 | 147 | 2013 |
| Comparative study of CEA and CA19-9 in esophageal, gastric and colon cancers individually and in combination (ROC curve analysis) B Bagaria, S Sood, R Sharma, S Lalwani Cancer biology & medicine 10 (3), 148, 2013 | 144 | 2013 |
| A survey on parallel particle swarm optimization algorithms S Lalwani, H Sharma, SC Satapathy, K Deep, JC Bansal Arabian Journal for Science and Engineering 44, 2899-2923, 2019 | 143 | 2019 |
| Predicting optimal lockdown period with parametric approach using three-phase maturation SIRD model for COVID-19 pandemic S Lalwani, G Sahni, B Mewara, R Kumar Chaos, Solitons & Fractals 138, 109939, 2020 | 46 | 2020 |
| A review on particle swarm optimization variants and their applications to multiple sequence alignment S Lalwani, R Kumar, N Gupta Journal of Applied Mathematics and Bioinformatics 3 (2), 87, 2013 | 25 | 2013 |
| Efficient discrete firefly algorithm for Ctrie based caching of multiple sequence alignment on optimally scheduled parallel machines S Lalwani, H Sharma, A Verma, R Kumar CAAI Transactions on Intelligence Technology 4 (2), 92-100, 2019 | 21 | 2019 |
| A novel two-level particle swarm optimization approach for efficient multiple sequence alignment S Lalwani, R Kumar, N Gupta Memetic Computing 7, 119-133, 2015 | 20 | 2015 |
| C-COVIDNet: A CNN model for COVID-19 detection using image processing N Rajawat, BS Hada, M Meghawat, S Lalwani, R Kumar Arabian Journal for Science and Engineering 47 (8), 10811-10822, 2022 | 17 | 2022 |
| A study on inertia weight schemes with modified particle swarm optimization algorithm for multiple sequence alignment S Lalwani, R Kumar, N Gupta 2013 Sixth International Conference on Contemporary Computing (IC3), 283-288, 2013 | 17 | 2013 |
| An efficient two-level swarm intelligence approach for RNA secondary structure prediction with bi-objective minimum free energy scores S Lalwani, R Kumar, N Gupta Swarm and Evolutionary Computation 27, 68-79, 2016 | 16 | 2016 |
| A comparative analysis of MOPSO, NSGA-II, SPEA2 and PESA2 for multi-objective optimal power flow A Jain, S Lalwani, M Lalwani 2018 2nd International Conference on Power, Energy and Environment: Towards …, 2018 | 14 | 2018 |
| Multi-objective two-level swarm intelligence approach for multiple RNA sequence-structure alignment S Lalwani, R Kumar, K Deep Swarm and evolutionary computation 34, 130-144, 2017 | 12 | 2017 |
| Sequence–structure alignment techniques for RNA: a comprehensive survey S Lalwani, R Kumar, N Gupta Adv Life Sci 4 (1), 21-35, 2014 | 11 | 2014 |
| Efficient two-level swarm intelligence approach for multiple sequence alignment S Lalwani, R Kumar, N Gupta Computing and Informatics 35 (4), 963-985, 2016 | 10 | 2016 |
| A novel two-level particle swarm optimization approach to train the transformational grammar based hidden Markov models for performing structural alignment of pseudoknotted RNA S Lalwani, R Kumar, N Gupta Swarm and Evolutionary Computation 20, 58-73, 2015 | 9 | 2015 |
| Multi-objective three level parallel PSO algorithm for structural alignment of complex RNA sequences S Lalwani, H Sharma Evolutionary Intelligence 14, 1251-1259, 2021 | 7 | 2021 |
| CF-PPI: Centroid based new feature extraction approach for Protein-Protein Interaction Prediction G Sahni, B Mewara, S Lalwani, R Kumar Journal of Experimental & Theoretical Artificial Intelligence 35 (7), 1037-1057, 2023 | 4 | 2023 |
| Minimization of makespan for parallel machines using pso to enhance caching of MSA-based multi-query processes S Lalwani, H Sharma, A Verma, K Deep Soft Computing for Problem Solving: SocProS 2017, Volume 2, 193-205, 2019 | 4 | 2019 |
| Significance of correlation between levels of carcinoembryonic antigen and carbohydrate antigen 19-9, carcinoembryonic antigen and c-reactive protein, carcinoembryonic antigen … B Bagaria, A Bagaria, R Sharma, S Sood, S Lalwani Clinical Cancer Investigation Journal 3 (4), 293-293, 2014 | 4 | 2014 |
| Sequence-based prediction of protein–protein interaction using auto-feature engineering of RNN-based model B Mewara, S Lalwani Research on Biomedical Engineering 39 (1), 259-272, 2023 | 3 | 2023 |
Rajesh KumarProfessor of Electrical Engineering, MNIT JaipurVerified email at mnit.ac.in
