Electric vehicles (EVs) have gained significant attention in recent years due to their potential
to reduce greenhouse gas emissions and improve energy efficiency. An EV's main source of …

This paper introduces a comprehensive framework for the detection of behaviors indicative
of reduced concentration levels among motor vehicle operators, leveraging multimodal …

Driver drowsiness detection is a critical field of research within automotive safety, aimed at
identifying signs of fatigue in drivers to prevent accidents. Drowsiness impairs a driver's …

Nowadays, one of the most common problems faced by Twitter (also known as X) users,
including individuals as well as organizations, is dealing with spam tweets. The problem …

The increasing global prevalence of global accidents has emphasized the crucial role of
driver alertness in ensuring road safety. This study prioritizes behavioral measurements by …

Driver drowsiness is a major threat to road safety, causing innumerable accidents globally.
To effectively detect and analyze driver drowsiness, we employ a multi-stage approach …

Drowsiness among drivers is a major hazard to road safety, resulting in innumerable
incidents globally. Despite substantial study, existing approaches for detecting drowsiness …

Driver drowsiness is among the main causes of fatal traffic accidents or injuries of varying
severity around the world. Every year, numerous studies and research projects address this …

The increasing complexity of real-world applications, particularly in the areas of advanced
driver assistance systems (ADAS) and drive safety features, has heightened the search for …

One of the most significant issues in combinatorial optimization is the classical NP-complete
conundrum known as the 0/1 Knapsack Problem. This study delves deeply into the …