Parul Agarwal

Orcid: 0000-0003-2262-0721

Affiliations:
  • Jaypee Institute of Information Technology, Noida, India


According to our database1, Parul Agarwal authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Improved whale optimization variants for SLA-compliant placement of virtual machines in cloud data centers.
Multim. Tools Appl., January, 2024

2023
Statistical Detection of Malicious iOS Apps through Ensemble and Active Learning.
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

2022
Differential bond energy algorithm for optimal vertical fragmentation of distributed databases.
J. King Saud Univ. Comput. Inf. Sci., 2022

A Hybrid Whale Genetic Algorithm for Feature Selection in Biomedical Dataset.
Int. J. Swarm Intell. Res., 2022

Hybrid Nature-Inspired Algorithm for Feature Selection in Alzheimer Detection Using Brain MRI Images.
Int. J. Comput. Intell. Appl., 2022

Multi-objective particle swarm optimization with guided exploration for multimodal problems.
Appl. Soft Comput., 2022

Stock Prices Prediction Based on Social Influence & Historic Data.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021
A meta-heuristic density-based subspace clustering algorithm for high-dimensional data.
Soft Comput., 2021

Quantum inspired Particle Swarm Optimization with guided exploration for function optimization.
Appl. Soft Comput., 2021

A New Harris Hawk Whale Optimization Algorithm for Enhancing Neural Networks.
Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

2019
ABC_DE_FP: a novel hybrid algorithm for complex continuous optimisation problems.
Int. J. Bio Inspired Comput., 2019

Ensemble Learning Approach for Enhanced Stock Prediction.
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

2018
Empirical analysis of five nature-inspired algorithms on real parameter optimization problems.
Artif. Intell. Rev., 2018

Empirical Analysis of Bitcoin Market Volatility Using Supervised Learning Approach.
Proceedings of the 2018 Eleventh International Conference on Contemporary Computing, 2018

Recommending Optimal Tour for Groups Using Ant Colony Optimization.
Proceedings of the 2018 Eleventh International Conference on Contemporary Computing, 2018


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