Metaheuristic algorithms have gradually become the mainstream way to solve complex
optimization problems with their streamlined structure and robust performance. Innovative …

Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …

This study proposes a novel framework to improve intrusion detection system (IDS)
performance based on the data collected from the Internet of things (IoT) environments. The …

Develo** cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …

The early detection of oral cancer is pivotal for improving patient survival rates. However, the
high cost of manual initial screenings poses a challenge, especially in resource-limited …

This study constructs a reinforcement learning-based hybrid algorithm for Aquila Optimizer
(AO) and improved Arithmetic Optimization Algorithm (IAOA). The point of the hybrid …

The study of the fluid flow in heat exchangers and its related mass and heat transfer
processes is a very complicated research subject. Modeling of coupled fluid flow and heat …

This study presents a groundbreaking approach to enhance the accuracy of the YOLOv8
model in object detection, focusing mainly on addressing the limitations of detecting objects …

One of the most cutting-edge methods for understanding a person's current psychological
state is emotion recognition. Due to the nature of emotional expression, an effective feature …

Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …