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conference paper · 2024

Computational Machine Learning Approach for Brain Impairment

R. Kishore Kanna, R. Anitha, K. Sundaramoorthy, Clement Tengey, Sudharani B Banappagoudar, Ayodeji Olalekan Salau

Closed access
International · 4 countries

Go to the publisher 10.1109/nigercon62786.2024.10927119

Citations: 1from other works
Field-weighted impact: 0.431.00 is the world average for its field and year
Among its field: 64th percentileby citations, against works of its field and year
Authors: 6from 6 institutions

Authors

6 authors across 6 institutions in 4 countries

R. Kishore KannaFirst author
R. Anitha
K. Sundaramoorthy
Clement Tengey
- Accra Technical University (GH)
Sudharani B Banappagoudar
Ayodeji Olalekan SalauSenior author
- Afe Babalola University (NG)

Countries on it

Ghana
Israel
India
Nigeria

Also on it

Azrieli College of Engineering Jerusalemeducation · IL
ITM Universityeducation · IN
Jerusalem College of Engineeringeducation · IN
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technologyeducation · IN

Fields

A work can sit in several, each with a score

Brain Tumor Detection and ClassificationTopic

Computational Machine Learning Approach for Brain Impairment · Peerford