Swarm Robotics for Autonomous Aerial Robots: Features, Algorithms, Control Techniques, and Challenges DOI

Yunes Alqudsi,

Murat Makaracı

Published: Aug. 6, 2024

Language: Английский

A hybrid deep learning skin cancer prediction framework DOI Creative Commons
Ebraheem Farea, Radhwan A. A. Saleh, Humam AbuAlkebash

et al.

Engineering Science and Technology an International Journal, Journal Year: 2024, Volume and Issue: 57, P. 101818 - 101818

Published: Aug. 27, 2024

Language: Английский

Citations

7
Flood risk in mountainous settlements: A new framework based on an interpretable NSGA-II-GB from a point-area duality perspective DOI
Qihang Wu, Zhe Sun,

Zhan Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 373, P. 123842 - 123842

Published: Jan. 1, 2025

Language: Английский

Citations

0
Integration of Robust Control and Multi‐Objective Metaheuristic Optimization for Improved Stability and Tracking Performance of WIP Systems DOI Open Access
Radhwan A. A. Saleh,

Yunes Alqudsi,

Murat Makaracı

et al.

Optimal Control Applications and Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

ABSTRACT The Wheeled Inverted Pendulum (WIP) system presents a challenging control problem in the field of systems due to its inherent instability, non‐linearity, multivariable nature, and under actuation. This paper introduces novel framework that integrates robust combined algorithm with Multi‐objective Optimization (IPMO) improve stability tracking performance WIP systems. combines Time‐Varying Sliding Mode Control (TVSMC), Exponential Reaching Law (ERL), Non‐linear Feedback (NFC) mitigate chattering enhance stability. IPMO utilizes Solutions Validity Table (SVT) balance exploration exploitation search for optimal controller parameters. By optimizing parameters, aim is minimize errors overall system. Extensive simulations are conducted demonstrate effectiveness proposed enhancing minimizing errors. provides decision‐makers range solutions, contributing advancement techniques unstable, highly non‐linear, multivariable, underactuated A supplemental animated simulation this work available at https://www.youtube.com/watch?v=PO‐RzmTXemI .

Language: Английский

Citations

0
Enhancing flood susceptibility mapping in Sana’a, Yemen with random forest and eXtreme gradient boosting algorithms DOI Creative Commons

Yahia Alwathaf,

Ahmed M. Al‐Areeq,

Yousef A. Al-Masnay

et al.

Geocarto International, Journal Year: 2025, Volume and Issue: 40(1)

Published: March 31, 2025

Language: Английский

Citations

0
Analysis and Implementation of Motion Planning Algorithms for Real-Time Navigation of Aerial Robots in Dynamic Environments DOI

Yunes Alqudsi

Published: Aug. 6, 2024

Language: Английский

Citations

2
Swarm Robotics for Autonomous Aerial Robots: Features, Algorithms, Control Techniques, and Challenges DOI

Yunes Alqudsi,

Murat Makaracı

Published: Aug. 6, 2024

Language: Английский

Citations

1