Search Results - "Too, Jingwei"

General Learning Equilibrium Optimizer: A New Feature Selection Method for Biological Data Classification by Too, Jingwei, Mirjalili, Seyedali

“…Finding relevant information from biological data is a critical issue for the study of disease diagnosis, especially when an enormous number of biological…”
Get full text

A new and fast rival genetic algorithm for feature selection by Too, Jingwei, Abdullah, Abdul Rahim

“…Feature selection is one of the significant steps in classification tasks. It is a pre-processing step to select a small subset of significant features that…”
Get full text

Chaotic Atom Search Optimization for Feature Selection by Too, Jingwei, Abdullah, Abdul Rahim

“…Due to the lack of experience and prior knowledge, the selection of the most informative features has become one of the challenging problems in many…”
Get full text

Opposition based competitive grey wolf optimizer for EMG feature selection by Too, Jingwei, Abdullah, Abdul Rahim

“…This paper proposes a competitive grey wolf optimizer (CGWO) to solve the feature selection problem in electromyography (EMG) pattern recognition. We model the…”
Get full text

Spatial bound whale optimization algorithm: an efficient high-dimensional feature selection approach by Too, Jingwei, Mafarja, Majdi, Mirjalili, Seyedali

“…Selecting a subset of candidate features is one of the important steps in the data mining process. The ultimate goal of feature selection is to select an…”
Get full text

EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization by Too, Jingwei, Abdullah, Abdul, Mohd Saad, Norhashimah, Tee, Weihown

“…Due to the increment in hand motion types, electromyography (EMG) features are increasingly required for accurate EMG signals classification. However,…”
Get full text

Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction by Hassouneh, Yousef, Turabieh, Hamza, Thaher, Thaer, Tumar, Iyad, Chantar, Hamouda, Too, Jingwei

“…Software fault prediction (SFP) is a challenging process that any successful software should go through it to make sure that all software components are free…”
Get full text

A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection by Too, Jingwei, Abdullah, Abdul Rahim, Mohd Saad, Norhashimah

“…Feature selection is a task of choosing the best combination of potential features that best describes the target concept during a classification process…”
Get full text

Feature Selection of OMIC Data by Ensemble Swarm Intelligence Based Approaches by Yao, Zhaomin, Zhu, Gancheng, Too, Jingwei, Duan, Meiyu, Wang, Zhiguo

“…OMIC datasets have high dimensions, and the connection among OMIC features is very complicated. It is difficult to establish linkages among these features and…”
Get full text

Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers by Sheta, Alaa, Turabieh, Hamza, Thaher, Thaer, Too, Jingwei, Mafarja, Majdi, Hossain, Md Shafaeat, Surani, Salim R.

“…Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the shortage of oxygen for the human body, which causes several symptoms…”
Get full text

A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification by Too, Jingwei, Abdullah, Abdul, Mohd Saad, Norhashimah, Mohd Ali, Nursabillilah, Tee, Weihown

“…Features extracted from the electromyography (EMG) signal normally consist of irrelevant and redundant features. Conventionally, feature selection is an…”
Get full text

Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification by Too, Jingwei, Abdullah, Abdul Rahim, Mohd Saad, Norhashimah

“…To date, the usage of electromyography (EMG) signals in myoelectric prosthetics allows patients to recover functional rehabilitation of their upper limbs…”
Get full text

Binary Competitive Swarm Optimizer Approaches for Feature Selection by Too, Jingwei, Abdullah, Abdul Rahim, Mohd Saad, Norhashimah

“…Feature selection is known as an NP-hard combinatorial problem in which the possible feature subsets increase exponentially with the number of features. Due to…”
Get full text

Feature Selection Based on Binary Tree Growth Algorithm for the Classification of Myoelectric Signals by Too, Jingwei, Abdullah, Abdul, Mohd Saad, Norhashimah, Mohd Ali, Nursabillilah

“…Electromyography (EMG) has been widely used in rehabilitation and myoelectric prosthetic applications. However, a recent increment in the number of EMG…”
Get full text

A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study by Too, Jingwei, Mirjalili, Seyedali

“…The rapid expansion of information science has caused the issue of “the curse of dimensionality”, which will negatively affect the performance of the machine…”
Get full text

Diagnosis of Obstructive Sleep Apnea Using Feature Selection, Classification Methods, and Data Grouping Based Age, Sex, and Race by Sheta, Alaa, Thaher, Thaer, Surani, Salim R, Turabieh, Hamza, Braik, Malik, Too, Jingwei, Abu-El-Rub, Noor, Mafarjah, Majdi, Chantar, Hamouda, Subramanian, Shyam

“…Obstructive sleep apnea (OSA) is a prevalent sleep disorder that affects approximately 3-7% of males and 2-5% of females. In the United States alone, 50-70…”
Get full text

Exploring the Relation Between EMG Pattern Recognition and Sampling Rate Using Spectrogram by Too, Jingwei, Abdullah, Abdul Rahim, Saad, Norhashimah Mohd, Ali, Nursabillilah Mohd, Zawawi, Tengku Nor Shuhada Tengku

“…The application of electromyography (EMG) has shown great success in rehabilitation engineering. With the existing multiple-channel EMG recording system, the…”
Get full text

Memory-based Harris hawk optimization with learning agents: a feature selection approach by Too, Jingwei, Liang, Guoxi, Chen, Huiling

“…Feature selection is a vital pre-processing phase for most machine learning and data mining courses. This article proposes new variants of the Harris hawk…”
Get full text

Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems by Thaher, Thaer, Chantar, Hamouda, Too, Jingwei, Mafarja, Majdi, Turabieh, Hamza, Houssein, Essam H.

“…In the feature selection process, reaching the best subset of features is considered a difficult task. To deal with the complexity associated with this…”
Get full text

Binary atom search optimisation approaches for feature selection by Too, Jingwei, Rahim Abdullah, Abdul

“…Atom Search Optimisation (ASO) is a recently proposed metaheuristic algorithm that has proved to work effectively on several benchmark tests. In this paper, we…”
Get full text