A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson’s Disease Classification-Reference-Cited by-同舟云学术

A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson’s Disease Classification

Published:2024 Issue: Volume:12 Page:83140-83153
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sekaran Kaushik¹^ORCID,Harshavardhan A.²^ORCID,Sandhya N.²^ORCID,Sudha C.³,Nagaraju Gujjeti²^ORCID,Bukya Hanumanthu⁴^ORCID,Sahay Rashmi¹^ORCID,Kalaivani J.⁵^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Faculty of Science and Technology (IcfaiTech), The ICFAI Foundation for Higher Education, Hyderabad, Telangana, India

2. Department of Computer Science and Engineering (AIML and IoT), VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India

3. Department of Computer Science and Engineering, Gandhi Institute of Technology and Management (GITAM), Hyderabad, India

4. Department of Computer Science and Engineering, Kakatiya Institute of Technology & Science, Warangal, Telangana, India

5. Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10552877.pdf?arnumber=10552877

Reference38 articles.

1. Ferroptosis in Parkinson’s disease: glia–neuron crosstalk

2. Role of Lateral Hypothalamus Area in the Central Regulation of Feeding

3. Machine learning-based framework for early detection of distinguishing different stages of Parkinson’s disease;Panda;Specialusis Ugdymas,2022

4. Insights into the Explicit Protective Activity of Herbals in Management of Neurodegenerative and Cerebrovascular Disorders

5. Are We What We Eat? Impact of Diet on the Gut–Brain Axis in Parkinson’s Disease