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2020 – today
- 2023
[j11]Neha Rajawat, Bharat Singh Hada, Soniya Lalwani
, Rajesh Kumar:
Diabetes mellitus prediction: An efficient pipeline of data imputation and oversampling. Int. J. Model. Simul. Sci. Comput. 14(3): 2350010:1-2350010:18 (2023)- [j10]Gunjan Sahni, Bhawna Mewara, Soniya Lalwani, Rajesh Kumar:
CF-PPI: Centroid based new feature extraction approach for Protein-Protein Interaction Prediction. J. Exp. Theor. Artif. Intell. 35(7): 1037-1057 (2023) - 2022
- [j9]Bhawna Mewara, Soniya Lalwani:
A Survey on Deep Networks Approaches in Prediction of Sequence-Based Protein-Protein Interactions. SN Comput. Sci. 3(4): 298 (2022) - 2021
- [j8]Soniya Lalwani, Rajesh Kumar:
An efficient three-Level parallel ABC algorithm for secondary structure prediction of complex RNA sequences. Appl. Soft Comput. 99: 106848 (2021) - [j7]Soniya Lalwani, Harish Sharma:
Multi-objective three level parallel PSO algorithm for structural alignment of complex RNA sequences. Evol. Intell. 14(3): 1251-1259 (2021)
2010 – 2019
- 2019
- [j6]Soniya Lalwani, Harish Sharma, Abhay Verma, Rajesh Kumar:
Efficient discrete firefly algorithm for Ctrie based caching of multiple sequence alignment on optimally scheduled parallel machines. CAAI Trans. Intell. Technol. 4(2): 92-100 (2019) - 2017
- [j5]Soniya Lalwani, Rajesh Kumar, Kusum Deep:
Multi-objective two-level swarm intelligence approach for multiple RNA sequence-structure alignment. Swarm Evol. Comput. 34: 130-144 (2017) - [c3]Soniya Lalwani, Harish Sharma, Abhay Verma, Kusum Deep:
Minimization of Makespan for Parallel Machines Using PSO to Enhance Caching of MSA-Based Multi-query Processes. SocProS (2) 2017: 193-205 - [c2]Gulnar Niazi, Soniya Lalwani, Mahendra Lalwani:
Determination of DG Allocation for Minimizing Annual Grid Energy Transaction. SocProS (1) 2017: 961-971 - 2016
- [j4]Soniya Lalwani, Rajesh Kumar, Nilama Gupta:
Efficient Two-Level Swarm Intelligence Approach for Multiple Sequence Alignment. Comput. Informatics 35(4): 963-985 (2016) - [j3]Soniya Lalwani, Rajesh Kumar, Nilama Gupta:
An efficient two-level swarm intelligence approach for RNA secondary structure prediction with bi-objective minimum free energy scores. Swarm Evol. Comput. 27: 68-79 (2016) - 2015
- [j2]Soniya Lalwani, Rajesh Kumar, Nilama Gupta:
A novel two-level particle swarm optimization approach for efficient multiple sequence alignment. Memetic Comput. 7(2): 119-133 (2015) - [j1]Soniya Lalwani, Rajesh Kumar, Nilama Gupta:
A novel two-level particle swarm optimization approach to train the transformational grammar based hidden Markov models for performing structural alignment of pseudoknotted RNA. Swarm Evol. Comput. 20: 58-73 (2015) - 2013
- [c1]Soniya Lalwani, Rajesh Kumar, Nilama Gupta:
A study on inertia weight schemes with modified particle swarm optimization algorithm for multiple sequence alignment. IC3 2013: 283-288
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