Nowadays, the automatic detection of driver fatigue has become one of the important
measures to prevent traffic accidents. For this purpose, a lot of research has been conducted …

The problem of precisely estimating the position and orientation of multiple dipoles using
synthetic EEG signals is considered in this paper. After determining a proper forward model …

Accurate classification of tooth development stages from orthopantomograms (OPG) is
crucial for dental diagnosis, treatment planning, age assessment, and forensic applications …

Over the past few years, the increasing occurrence of catastrophic accidents in aviation
owing to human factors has raised several devastating threats to mankind. Recent progress …

This paper aims to provide a model that combines reconfiguration with Unit Commitment
(UC) and analytically examine Storage Capacity Increment Effects (SCIEs) in Micro-Grid …

Here, we examine the latest advances in glaucoma detection through Deep Learning (DL)
algorithms using Preferred Reporting Items for Systematic Reviews and Meta-Analyses …

As drowsiness is recognized as one of the primary factors that threaten road safety,
achieving a high-accuracy detection of drowsiness with finer granularity is crucial to …

Due to the challenge of limited line of sight in the perception system of intelligent driving
vehicles (cameras, radar, body sensors, etc.), which can only perceive threats within a …

There are currently three commonly used methods for detecting fatigue driving, namely
physiological feature based detection, vehicle driving information based detection, and …

BACKGROUND: Mental fatigue has become a non-negligible health problem in modern life,
as well as one of the important causes of social transportation, production and life accidents …