Deep Transfer Learning Based Parkinson’s Disease Detection Using Optimized Feature Selection-Reference-Cited by-同舟云学术

Deep Transfer Learning Based Parkinson’s Disease Detection Using Optimized Feature Selection

Published:2023 Issue: Volume:11 Page:3511-3524
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdullah Sura Mahmood¹,Abbas Thekra²,Bashir Munzir Hubiba³,Khaja Ishfaq Ahmad³^ORCID,Ahmad Musheer³^ORCID,Soliman Naglaa F.⁴^ORCID,El-Shafai Walid⁵^ORCID

Affiliation:

1. Department of Computer Sciences, University of Technology, Baghdad, Iraq

2. Department of Computer Sciences, College of Science, Mustansiriyah University, Baghdad, Iraq

3. Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India

4. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

5. Computer Science Department, Security Engineering Laboratory, Prince Sultan University, Riyadh, Saudi Arabia

Funder

Deanship of Scientific Research, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10005184.pdf?arnumber=10005184

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4. Deep CNN Based Classification of the Archimedes Spiral Drawing Tests to Support Diagnostics of the Parkinson’s Disease

5. Automated detection of Parkinson's disease using minimum average maximum tree and singular value decomposition method with vowels

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