Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

An automated Neurological Disorder detection system can be considered as a cost-effective
and resource efficient tool for medical and healthcare applications. In automated …

The goal of gait recognition is to identify a person from a distance based on their walking
style using a visual camera. However, the covariates such as a walk with carrying a bag and …

Feature Selection (FS) is considered a crucial step in machine learning and data mining
tasks, which facilitates minimizing the direct consequence of redundant and irrelevant …

As data volumes have increased and difficulty in tackling vast and complicated problems
has emerged, the need for innovative and intelligent solutions to handle these difficulties …

Feature selection (FS) is a crucial step in machine learning and data mining projects. It aims
to remove redundant and uncorrelated features, thus improving the accuracy of models …

People worldwide suffer from fake news in many life aspects, healthcare, transportation,
education, economics, and many others. Therefore, many researchers have considered …

One of the most popular population‐based metaheuristic algorithms is Harris hawks
optimization (HHO), which imitates the hunting mechanisms of Harris hawks in nature …

Research on network intrusion detection, prediction, and mitigation systems has been
ongoing due to the exponential rise in cyber-attacks in recent times. The prediction of future …

This paper proposes a multi-objective teaching–learning studying-based algorithm
(MTLSBA) to handle different objective frameworks for solving the large-scale Combined …