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Soniya Lalwani
Soniya Lalwani
Post-doctoral fellow in young scientist category
Verified email at rtu.ac.in
Title
Cited by
Cited by
Year
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
1652013
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
1622013
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
1582019
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
512020
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
252013
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
222022
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
212019
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
192015
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
172018
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
172013
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
162016
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
132017
Sequence–structure alignment techniques for RNA: a comprehensive survey
S Lalwani, R Kumar, N Gupta
Adv Life Sci 4 (1), 21-35, 2014
112014
Efficient two-level swarm intelligence approach for multiple sequence alignment
S Lalwani, R Kumar, N Gupta
Computing and Informatics 35 (4), 963-985, 2016
102016
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
92015
Multi-objective three level parallel PSO algorithm for structural alignment of complex RNA sequences
S Lalwani, H Sharma
Evolutionary Intelligence 14, 1251-1259, 2021
72021
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
62022
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
52021
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
42023
Advanced Identification of Alzheimer's Disease from Brain MRI Images Using Convolution Neural Network
N Rajawat, BS Hada, M Meghawat, S Lalwani, R Kumar
Proceedings of 2nd International Conference on Artificial Intelligence …, 2022
42022
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