| 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 | 206 | 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 (4), 2899-2923, 2019 | 177 | 2019 |
| 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), 148-157, 2013 | 172 | 2013 |
| 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 | 58 | 2020 |
| 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 | 32 | 2022 |
| 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 | 27 | 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 | 23 | 2019 |
| 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 | 22 | 2018 |
| A novel two-level particle swarm optimization approach for efficient multiple sequence alignment S Lalwani, R Kumar, N Gupta Memetic Computing 7 (2), 119-133, 2015 | 22 | 2015 |
| 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 | 18 | 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 | 17 | 2016 |
| 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 | 14 | 2017 |
| Sequence–structure alignment techniques for RNA: a comprehensive survey S Lalwani, R Kumar, N Gupta Adv Life Sci 4 (1), 21-35, 2014 | 12 | 2014 |
| Multi-objective three level parallel PSO algorithm for structural alignment of complex RNA sequences S Lalwani, H Sharma Evolutionary Intelligence 14 (3), 1251-1259, 2021 | 10 | 2021 |
| 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 |
| 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 | 7 | 2023 |
| A survey on deep networks approaches in prediction of sequence-based protein–protein interactions B Mewara, S Lalwani SN Computer Science 3 (4), 298, 2022 | 7 | 2022 |
| 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 | 6 | 2023 |
| Design and implementation of bi-level artificial bee colony algorithm to train hidden Markov models for performing multiple sequence alignment of proteins S Lalwani International Journal of Swarm Intelligence 6 (1), 48-64, 2021 | 6 | 2021 |
Rajesh KumarProfessor of Artificial Intelligence, University of Johannesburg, MNIT JaipurVerified email at uj.ac.za
