Ensuring reliable and easily accessible charging infrastructure becomes crucial as more
people adopt electric vehicles. This study introduces a recommendation system designed to …

This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

Abstract The Intelligent Transport System (ITS) is an emerging paradigm that offers
numerous services at the infrastructure level for vehicle applications. Vehicle-to …

Malware cyberattacks have increased rapidly with the rise of Internet users, IoT devices,
smart cities, etc. Attackers are constantly trying to evolve their methods and attack …

Artificial intelligence (AI) and machine learning (ML) have rapidly emerged as valuable tools
for chemical research, offering new ways to analyze and understand complex chemical …

Detecting potholes and traffic signs is crucial for driver assistance systems and autonomous
vehicles, emphasizing real-time and accurate recognition. In India, approximately 2500 …

In smart cities, biometric technologies have become extensively used for ticket
authentication on public transport. Information fusion plays a key role in biometric ticketing …

Efficiently detecting pedestrians from 3D point cloud data is a significantly challenging
perception task in numerous robotic and autonomous driving applications, primarily …

The metaverse, a virtual multiuser environment, has garnered global attention for its
potential to offer deeply immersive and participatory experiences. As this technology …

In the rapidly evolving competitive market of civil aviation transportation, maintaining market
share in the airline industry necessitates a focus on increasing customer satisfaction. This …