Computing in Kent

  The young coder's competition ( https://codingcompetition.org/ ) has been running for a number of years, aimed at students in Years 5-7 and their teachers. A recent article in Hello World magazine discussing it from a school and partners perspective - go to  https://helloworld.raspberrypi.org/issues/18/pdf to read more,

  Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking Sarah S. Jasim Department of IT, Technical College of Management-Baghdad, Middle Technical University, Baghdad, Iraq https://orcid.org/0000-0002-1237-147X Alia K. Abdul Hassan Department of Computer Science, University of Technology, Baghdad, Iraq https://orcid.org/0000-0002-6835-8872 Scott Turner Director of Computing, School of Engineering, Design, and Technology, Canterbury Christ Church University, Kent, United Kingdom https://orcid.org/0000-0003-2735-3220 DOI:  https://doi.org/10.14500/aro.10928 Keywords:  Artificial neural network, Drowsiness, Feature extraction, Gray wolf optimizer, Normalization, Segmentation ABSTRACT It is critical today to provide safe and collision-free transport. As a result, identifying the driver’s drowsiness before their capacity to drive is jeopardized. An automated hybrid drowsiness classification method that incorporates the artificial neural network (...