Jingwei Too

According to our database, Jingwei Too authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning.

Majdi M. Mafarja, Thaer Thaher, Mohammed Azmi Al-Betar, Jingwei Too, Mohammed A. Awadallah, Iyad Abu Doush, Hamza Turabieh

Appl. Intell., August, 2023

Trustworthy and Efficient Routing Algorithm for IoT-FinTech Applications Using Nonlinear Lévy Brownian Generalized Normal Distribution Optimization.

Ali Safaa Sadiq, Amin Abdollahi Dehkordi, Seyedali Mirjalili, Jingwei Too, Prashant Pillai

IEEE Internet Things J., February, 2023

An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification.

Majdi M. Mafarja, Thaer Thaher, Jingwei Too, Hamouda Chantar, Hamza Turabieh, Essam H. Houssein, Marwa M. Emam

Neural Comput. Appl., 2023

2022

Memory-based Harris hawk optimization with learning agents: a feature selection approach.

Jingwei Too, Guoxi Liang, Huiling Chen

Eng. Comput., 2022

Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems.

Thaer Thaher, Hamouda Chantar, Jingwei Too, Majdi M. Mafarja, Hamza Turabieh, Essam H. Houssein

Expert Syst. Appl., 2022

A conditional opposition-based particle swarm optimisation for feature selection.

Jingwei Too, Ali Safaa Sadiq, Seyed Mohammad Mirjalili

Connect. Sci., 2022

Hybrid Generalized Normal Distribution Optimization with Sine Cosine Algorithm for Global Optimization.

Jingwei Too, Ali Safaa Sadiq, Hesam Akbari, Guo Ren Mong, Seyedali Mirjalili

Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022

2021

A new and fast rival genetic algorithm for feature selection.

Jingwei Too, Abdul Rahim Abdullah

J. Supercomput., 2021

Spatial bound whale optimization algorithm: an efficient high-dimensional feature selection approach.

Jingwei Too, Majdi M. Mafarja, Seyedali Mirjalili

Neural Comput. Appl., 2021

A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study.

Jingwei Too, Seyedali Mirjalili

Knowl. Based Syst., 2021

Opposition based competitive grey wolf optimizer for EMG feature selection.

Jingwei Too, Abdul Rahim Abdullah

Evol. Intell., 2021

Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction.

Yousef Hassouneh, Hamza Turabieh, Thaer Thaher, Iyad Tumar, Hamouda Chantar, Jingwei Too

IEEE Access, 2021

General Learning Equilibrium Optimizer: A New Feature Selection Method for Biological Data Classification.

Jingwei Too, Seyedali Mirjalili

Appl. Artif. Intell., 2021

2020

Binary atom search optimisation approaches for feature selection.

Jingwei Too, Abdul Rahim Abdullah

Connect. Sci., 2020

2019

A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection.

Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad

Informatics, 2019

EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization.

Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Weihown Tee

Comput., 2019

Binary Competitive Swarm Optimizer Approaches for Feature Selection.

Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad

Comput., 2019

Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification.

Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad

Axioms, 2019

2018

A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification.

Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Nursabillilah Mohd Ali, Weihown Tee

Comput., 2018