A comprehensive survey on aquila optimizer
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 …
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
[HTML][HTML] Sea turtle foraging algorithm with hybrid deep learning-based intrusion detection for the internet of drones environment
Abstract The Internet of Drones (IoD) allows for coordinated control of airspace for
Unmanned Aerial Vehicles (UAVs), also known as drones. The decreasing costs of …
Unmanned Aerial Vehicles (UAVs), also known as drones. The decreasing costs of …
A hybrid delay aware clustered routing approach using aquila optimizer and firefly algorithm in internet of things
M Hosseinzadeh, L Ionescu-Feleaga, BȘ Ionescu… - Mathematics, 2022 - mdpi.com
Protocols for clustering and routing in the Internet of Things ecosystem should consider
minimizing power consumption. Existing approaches to cluster-based routing issues in the …
minimizing power consumption. Existing approaches to cluster-based routing issues in the …
Using the Grey Wolf Aquila Synergistic Algorithm for Design Problems in Structural Engineering
The Aquila Optimizer (AO) is a metaheuristic algorithm that is inspired by the hunting
behavior of the Aquila bird. The AO approach has been proven to perform effectively on a …
behavior of the Aquila bird. The AO approach has been proven to perform effectively on a …
RRIoT: Recurrent reinforcement learning for cyber threat detection on IoT devices
C Rookard, A Khojandi - Computers & Security, 2024 - Elsevier
To address the recent worldwide proliferation of cybersecurity attacks across computing
systems, especially internet-of-things devices, new robust and automated methods are …
systems, especially internet-of-things devices, new robust and automated methods are …
Dynamic Random Walk and Dynamic Opposition Learning for Improving Aquila Optimizer: Solving Constrained Engineering Design Problems
One of the most important tasks in handling real-world global optimization problems is to
achieve a balance between exploration and exploitation in any nature-inspired optimization …
achieve a balance between exploration and exploitation in any nature-inspired optimization …
Enhancing Security in IoT-Assisted UAV Networks Using Adaptive Mongoose Optimization Algorithm with Deep Learning
SS Alotaibi, A Sayed, ES Abd Elhameed… - IEEE …, 2024 - ieeexplore.ieee.org
Due to the sensitive and mission-critical nature of the data collected and transferred, security
in IoT-assisted UAV networks is of great significance. Intrusion detection in IoT-assisted UAV …
in IoT-assisted UAV networks is of great significance. Intrusion detection in IoT-assisted UAV …