TY  JOUR
TI  APPLICATION OF THE YOLOV5 NEURAL NETWORK MODEL TO INCREASE THE ACCURACY OF IRIS AND PUPIL IMAGE SEGMENTATION
KW  HUMAN FUNCTIONAL STATE
KW  DRIVER FATIGUE STATE
KW  PUPILLOMETRY
KW  NEURAL NETWORKS
KW  IRIS AND PUPIL SEGMENTATION
KW  TIME SERIES SMOOTHING
KW  COMPUTER VISION
KW  NEURAL NETWORK MODEL YOLOV5
JO  Herald of Technological University
AU  Ahmetvaleev, A.M.
AU  Akhmetvaleeva, I.V.
AU  Zakiev, R.F.
PY  2025
IS  27
PB  Kazan National Research Technological University