Hyperspectral Object Detection Using Bioinspired Jellyfish Search Optimizer With Deep Learning-Reference-Cited by-同舟云学术

Hyperspectral Object Detection Using Bioinspired Jellyfish Search Optimizer With Deep Learning

Author:

Mahgoub Hany¹^ORCID,Albraikan Amani Abdulrahman²,Othman Kamal M.³^ORCID,Salama Ahmed S.⁴^ORCID,Yaseen Ishfaq⁵^ORCID,Ibrahim Sara Saadeldeen⁵

Affiliation:

1. Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha, Saudi Arabia

2. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

3. Department of Electrical Engineering, Umm Al-Qura University, Mecca, Saudi Arabia

4. Department of Electrical Engineering, Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Egypt

5. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project

Princess Nourah bint Abdulrahman University Researchers Supporting Project number

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Prince Sattam bin Abdulaziz University project number

Future University in Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference24 articles.

1. Implementation of object detection and tracking by using deep learning based convolutional neural networks;miracle;Scholars J Sci Technol,2022

2. An intelligent deep learning based hyperspectral signal classification scheme for complex measurement systems;hilal;Measurement,2022