[Retracted] A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection

S Pervaiz, Z Ul-Qayyum, WH Bangyal… - … Methods in Medicine, 2021 - Wiley Online Library
Artificial Intelligence (AI) is the domain of computer science that focuses on the development
of machines that operate like humans. In the field of AI, medical disease detection is an …

A Fine‐Tuned BERT‐Based Transfer Learning Approach for Text Classification

R Qasim, WH Bangyal, MA Alqarni… - Journal of healthcare …, 2022 - Wiley Online Library
Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …

A systematic review on bat algorithm: Theoretical foundation, variants, and applications

T Agarwal, V Kumar - Archives of Computational Methods in Engineering, 2022 - Springer
Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …

Detection of Fake News Text Classification on COVID‐19 Using Deep Learning Approaches

WH Bangyal, R Qasim, NU Rehman… - … methods in medicine, 2021 - Wiley Online Library
A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …

A new initialization approach in particle swarm optimization for global optimization problems

WH Bangyal, A Hameed, W Alosaimi… - Computational …, 2021 - Wiley Online Library
Particle swarm optimization (PSO) algorithm is a population‐based intelligent stochastic
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …

Improved multi-objective grasshopper optimization algorithm and application in capacity configuration of urban rail hybrid energy storage systems

X Wang, X Zhang, B Qin, L Guo - Journal of Energy Storage, 2023 - Elsevier
Aiming at addressing problems of poor diversity and ergodicity of initial population, slow
convergence speed, and susceptibility to local optima in conventional multi-objective …

An improved seagull algorithm for numerical optimization problem

WH Bangyal, R Shakir, NU Rehman, A Ashraf… - … conference on swarm …, 2023 - Springer
Abstract In Artificial Intelligence, numerical optimization is an instantly rising research
domain. Swarm Intelligence (SI) and Evolutionary Algorithm (EA) are widely used to answer …

[HTML][HTML] Improved coyote algorithm and application to optimal load forecasting model

S Wu, J Jiang, Y Yan, W Bao, Y Shi - Alexandria Engineering Journal, 2022 - Elsevier
Accurate load forecasting is critical to guarantee the security, steadiness and economic
operation of the power system. Therefore, in order to improve the load forecasting accuracy …

Feature selection on elite hybrid binary cuckoo search in binary label classification

M Zhao, Y Qin - Computational and Mathematical Methods in …, 2021 - Wiley Online Library
For the low optimization accuracy of the cuckoo search algorithm, a new search algorithm,
the Elite Hybrid Binary Cuckoo Search (EHBCS) algorithm, is improved by feature weighting …

Sine Cosine Embedded Squirrel Search Algorithm for Global Optimization and Engineering Design

L Zeng, J Shi, M Li, S Wang - Cluster Computing, 2023 - Springer
Abstract The Squirrel Search Algorithm (SSA) is an innovative optimization method that
takes inspiration from the foraging and gliding behavior of squirrels. Despite its simple …