MetaParkinson: A Cyber-Physical Deep Meta-Learning Framework for n-Shot Diagnosis and Monitoring of Parkinson's Patients
Author:
Affiliation:
1. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
2. Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia
Funder
Ministry of Education
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/4267003/10354254/10251696.pdf?arnumber=10251696
Reference29 articles.
1. Developing Industrial CPS: A Multi-Disciplinary Challenge
2. A Cyber-Physical System Framework for Early Detection of Paroxysmal Diseases
3. A Provable Secure and Lightweight Smart Healthcare Cyber-Physical System With Public Verifiability
4. High-Accuracy Classification of Parkinson's Disease Through Shape Analysis and Surface Fitting in 123I-Ioflupane SPECT Imaging
5. A new computer vision-based approach to aid the diagnosis of Parkinson's disease
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