The main objective of feature selection is to improve learning performance by selecting
concise and informative feature subsets, which presents a challenging task for machine …

Nature-inspired metaheuristic approaches draw their core idea from biological evolution in
order to create new and powerful competing algorithms. Such algorithms can be divided into …

The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …

Feature selection represents an essential pre-processing step for a wide range of Machine
Learning approaches. Datasets typically contain irrelevant features that may negatively …

The article assesses the frequency control of a dual area hybrid microgrid (DHM) that
comprises solar thermal systems alongside biodiesel-powered generators, energy storage …

Over the years, intrusion detection system has played a crucial role in network security by
discovering attacks from network traffics and generating an alarm signal to be sent to the …

Biometric technology is becoming increasingly prevalent in several vital applications that
substitute traditional password and token authentication mechanisms. Recognition accuracy …

This study examines the intricate dynamics surrounding the deposition of Al 2 O 3
nanoparticles within a heat exchanger, with the aim of optimizing heat transfer efficiency and …

Botnet detection in a cloud-aided Internet of Things (IoT) environment is a tedious process,
meanwhile, IoT gadgets are extremely vulnerable to attacks due to poor security practices …

The recent widespread installation of renewable energy sources in place of fossil fuel, along
with the substitution of electric vehicles, has given rise to several integration difficulties. Due …