A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles
Autonomous vehicles, commonly known as self-driving cars, are rapidly gaining popularity
due to their numerous advantages, such as reducing traffic, pollution, and emissions while …
due to their numerous advantages, such as reducing traffic, pollution, and emissions while …
Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model
The issue of cognitive distraction during driving has been identified as a major cause of road
accidents. Detecting cognitive distraction in real-time can be a valuable strategy for …
accidents. Detecting cognitive distraction in real-time can be a valuable strategy for …
Optimum signal duration for Human Activity Recognition based on Deep Convolutional Neural Networks
Human Activity Recognition (HAR) stands as a pivotal technique within pattern recognition,
dedicated to deciphering human movements and actions utilizing one or multiple sensory …
dedicated to deciphering human movements and actions utilizing one or multiple sensory …