HIGHLIGHTS
- who: S. Navaneethan from the Department of Electronics and Communication Engineering, Saveetha Engineering College, Chennai, India995% sensitivity and, .75% accuracy, and the IIT (Indian Institute of Technology) Delhi dataset, which has, .35% specificity and MMU (Multimedia University), .45% accuracy, which is higher than the existing architectures. have published the article: The Human Eye Pupil Detection System Using BAT Optimized Deep Learning Architecture, in the Journal: (JOURNAL)
- what: To improve accuracy and cope with larger this research work proposes BOC (BAT Optimized CNN)-IrisNet which consists of optimizing input weights and hidden layers of using the . . .
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