MACHINE LEARNING ALGORITHM FOR BRAIN STROKE DETECTION

2026 Preprint Open access

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Authors: Harsh Shukla
DOI: 10.22541/au.176790793.38117177/v1
Cited by: 0

Abstract

– This study presents an innovative hybrid algorithm combining a Convolutional Neural Network (CNN) architecture with diverse machine learning techniques, including Support Vector Machines, Random Forest, k-Nearest Neighbors, Naïve Bayes, and

Fields of Study & Subjects

Brain Tumor Detection and Classification EEG and Brain-Computer Interfaces Advanced Neural Network Applications

Publication details

Publication date
8 January 2026
Document type
Preprint