Open Access
ARTICLE
El-Sayed M. El-kenawy1,2, Abdelhameed Ibrahim3,*, Seyedali Mirjalili4,5, Yu-Dong Zhang6, Shaima Elnazer7,8, Rokaia M. Zaki9,10
1 Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt
2 Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura, 35712, Egypt
3 Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt
4 Centre for Artificial Intelligence Research and Optimization, Torrens University Australia, Fortitude Valley, QLD 4006, Australia
5 Yonsei Frontier Lab, Yonsei University, Seoul, 03722, Korea
6 School of Computing and Mathematical Sciences, University of Leicester, Leicester, LE1 7RH, UK
7 Nile Higher Institute for Engineering and Technology, Mansoura, Egypt
8 Computer and Information Technology College, Taif University, Taif, Saudi Arabia
9 Higher Institute of Engineering and Technology, Kafrelsheikh
10 Department of Electrical Engineering, Shoubra Faculty of Engineering, Benha University, Egypt
* Corresponding Author: Abdelhameed Ibrahim. Email:
(This article belongs to this Special Issue: Artificial Intelligence and Machine Learning Algorithms in Real-World Applications and Theories)
Computers, Materials & Continua 2022, 71(3), 4989-5003. https://doi.org/10.32604/cmc.2022.023884
Received 25 September 2021; Accepted 02 November 2021; Issue published 14 January 2022
View
Download
Like
Brake Fault Diagnosis Through Machine Learning Approaches – A Review
Alamelu Manghai T.M., Jegadeeshwaran...Use of Discrete Wavelet Features and Support Vector Machine for Fault Diagnosis of Face Milling Tool
C. K. Madhusudana, N. Gangadhar,...