%0 Journal Article
%T APPLICATION OF THE YOLOV5 NEURAL NETWORK MODEL TO INCREASE THE ACCURACY OF IRIS AND PUPIL IMAGE SEGMENTATION
%A Ahmetvaleev, A.M.
%A Akhmetvaleeva, I.V.
%A Zakiev, R.F.
%K HUMAN FUNCTIONAL STATE, DRIVER FATIGUE STATE, PUPILLOMETRY, NEURAL NETWORKS, IRIS AND PUPIL SEGMENTATION, TIME SERIES SMOOTHING, COMPUTER VISION, NEURAL NETWORK MODEL YOLOV5
%J Herald of Technological University
%D 2025
%N 27
%P 4
%I Kazan National Research Technological University