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Soniya Lalwani
Observed name:
S. Lalwani
Institution:
Parul University
Observed institutions:
Rajasthan Technical University,
Career Point University,
Birla Institute of Scientific Research,
Malaviya National Institute of Technology Jaipur,
Parul University
ORCID:
0000-0001-5757-9744
Observed ORCID:
0000-0001-5757-9744
OpenAlex ID:
A5025901213
A Survey on Parallel Particle Swarm Optimization Algorithms
2019
·
Soniya Lalwani
, Harish Sharma
, et al.
·
Arabian Journal for Science and Engineering
·
146
A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm
2013
·
S. Lalwani
, S. Singhal
, et al.
·
124
Comparative study of CEA and CA19-9 in esophageal, gastric and colon cancers individually and in combination (ROC curve analysis).
2013
·
Bhawna Bagaria
, Sadhna Sood
, et al.
·
PubMed Central
·
101
PDF
Predicting optimal lockdown period with parametric approach using three-phase maturation SIRD model for COVID-19 pandemic
2020
·
Soniya Lalwani
, Gunjan Sahni
, et al.
·
Chaos Solitons & Fractals
·
52
PDF
C-COVIDNet: A CNN Model for COVID-19 Detection Using Image Processing
2022
·
Neha Rajawat
, Bharat Singh Hada
, et al.
·
Arabian Journal for Science and Engineering
·
27
PDF
Efficient discrete firefly algorithm for Ctrie based caching of multiple sequence alignment on optimally scheduled parallel machines
2019
·
Soniya Lalwani
, Harish Sharma
, et al.
·
CAAI Transactions on Intelligence Technology
·
21
PDF
A novel two-level particle swarm optimization approach for efficient multiple sequence alignment
2015
·
Soniya Lalwani
, Rajesh Kumar
, et al.
·
Memetic Computing
·
19
A Review on Particle Swarm Optimization variants and their applications to Multiple Sequence Alignment
2013
·
Soniya Lalwani
, Rajesh Kumar
, et al.
·
17
A Comparative Analysis of MOPSO, NSGA-II, SPEA2 and PESA2 for Multi-Objective Optimal Power Flow
2018
·
Abhishek Jain
, Soniya Lalwani
, et al.
·
International Conference on Energy, Power and Environment (ICEPE)
·
15
Multi-objective two-level swarm intelligence approach for multiple RNA sequence-structure alignment
2017
·
Soniya Lalwani
, Rajesh Kumar
, et al.
·
Swarm and Evolutionary Computation
·
15
An efficient two-level swarm intelligence approach for RNA secondary structure prediction with bi-objective minimum free energy scores
2015
·
Soniya Lalwani
, Rajesh Kumar
, et al.
·
Swarm and Evolutionary Computation
·
15
A study on inertia weight schemes with modified particle swarm optimization algorithm for multiple sequence alignment
2013
·
Soniya Lalwani
, Rajesh Kumar
, et al.
·
International Conference on Contemporary Computing
·
13
A Survey on Deep Networks Approaches in Prediction of Sequence-Based Protein–Protein Interactions
2022
·
Bhawna Mewara
, Soniya Lalwani
·
SN Computer Science
·
10
PDF
Multi-objective three level parallel PSO algorithm for structural alignment of complex RNA sequences
2019
·
Soniya Lalwani
, Harish Sharma
·
Evolutionary Intelligence
·
10
CF-PPI: Centroid based new feature extraction approach for Protein-Protein Interaction Prediction
2022
·
Gunjan Sahni
, Bhawna Mewara
, et al.
·
Journal of Experimental & Theoretical Artificial Intelligence
·
7
Efficient Two-Level Swarm Intelligence Approach for Multiple Sequence Alignment
2016
·
Soniya Lalwani
, Rajesh Kumar
, et al.
·
7
Sequence-based prediction of protein–protein interaction using auto-feature engineering of RNN-based model
2023
·
Bhawna Mewara
, Soniya Lalwani
·
Research on Biomedical Engineering
·
6
A novel two-level particle swarm optimization approach to train the transformational grammar based hidden Markov models for performing structural alignment of pseudoknotted RNA
2014
·
Soniya Lalwani
, Rajesh Kumar
, et al.
·
Swarm and Evolutionary Computation
·
6
CCXGB: Centroid-based features enhancement using Convolutional Neural Network combined with XGB classifier for Protein-Protein interaction prediction
2023
·
Gunjan Sahni
, Soniya Lalwani
·
International Journal of Information Technology
·
5
Design and implementation of bi-level artificial bee colony algorithm to train hidden Markov models for performing multiple sequence alignment of proteins
2021
·
Soniya Lalwani
·
International Journal of Swarm Intelligence
·
4
Advanced Identification of Alzheimer's Disease from Brain MRI Images Using Convolution Neural Network
2022
·
Neha Rajawat
, Bharat Singh Hada
, et al.
·
Algorithms for intelligent systems
·
3
Design and comparison of discrete swarm intelligence algorithms for makespan minimization of parallel machines for complex RNA sequence allocation jobs
2019
·
Soniya Lalwani
, Kavita Sharma
·
Journal of Statistics and Management Systems
·
3
An Efficient Bi-Level Discrete PSO Variant for Multiple Sequence Alignment
2018
·
Soniya Lalwani
, Harish Sharma
, et al.
·
Advances in intelligent systems and computing
·
3
Significance of correlation between levels of carcinoembryonic antigen and carbohydrate antigen 19-9, carcinoembryonic antigen and C-reactive protein, carcinoembryonic antigen and alpha-1 antitrypsin in gastric and colon cancer patients
2014
·
Bhawna Bagaria
, Soniya Lalwani
, et al.
·
Clinical Cancer Investigation Journal
·
3
A comprehensive review of hidden Markov model applications in prediction of human mobility patterns
2021
·
Neha Rajawat
, Navneet Gupta
, et al.
·
International Journal of Swarm Intelligence
·
2
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Works count:
42
Citation count:
648
H-index:
12
I10-index:
14
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