Amir Abolfazl Suratgar

This study shows that model compression improves the interpretability and stability of voxel-wise CNN models for brain activity prediction without sacrificing accuracy.

This paper presents a fuzzy inference system optimized with Krill Herd and metaheuristic algorithms to classify multiple sclerosis patients from healthy controls using visual evoked potentials, achieving 90% accuracy.