Optimal and Fully Connected Deep Neural Networks Based Classification Model for Unmanned Aerial Vehicle Using Hyperspectral Remote Sensing Images-Reference-Cited by-同舟云学术

Optimal and Fully Connected Deep Neural Networks Based Classification Model for Unmanned Aerial Vehicle Using Hyperspectral Remote Sensing Images

Published:2022-09-03 Issue:5 Volume:48 Page:681-693
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Hamza Manar Ahmed¹,Alzahrani Jaber S.²,Al-Rasheed Amal³,Alshahrani Reem⁴,Alamgeer Mohammad⁵,Motwakel Abdelwahed¹,Yaseen Ishfaq¹,Eldesouki Mohamed I.⁶

Affiliation:

1. Department of Computer and Self Development, Prince Sattam bin Abdulaziz University, AlKharj, Saudi Arabia

2. Department of Industrial Engineering, College of Engineering at Alqunfudah, Umm Al-Qura University, Makkah, Saudi Arabia

3. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia

4. Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif, 21944, Saudi Arabia

5. Department of Information Systems, College of Science & Art at Mahayil, King Khalid University, Abha, Saudi Arabia

6. Department of Information System, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, AlKharj, Saudi Arabia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2022.2116566

Reference27 articles.

1. Fuzzy Active Learning to Detect OpenCL Kernel Heterogeneous Machines in Cyber Physical Systems

2. EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment

3. Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model

4. Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms

5. ML-DDoS: A Blockchain-Based Multilevel DDoS Mitigation Mechanism for IoT Environments

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