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Abstract DriveEmo-FL presents a privacy-preserving, radar-based emotion-recognition framework tailored for autonomous-vehicle (AV) cabins. Leveraging a compact embedded mmWave radar, the system captures upper-body emotio...

Vehicular communication applications are expanding quickly because of the approach of related technologies, such as vehicular cloud and the Internet of Vehicles (IoV). The combination of the Internet of Things (IoT) and ...

Abstract Substantial efforts have been made to modernize and decarbonize the waste collection industry. Smart sensor-based waste collection (SWC) systems have been developed to optimize collection routes based on the act...

Motorbikes are an object that is very prone to being stolen, anticipating theft is not enough just by installing a safety lock, but it needs to be equipped with a monitoring and control system to reduce theft of motorbik...

Communication delays within connected and autonomous vehicles (CAVs) pose significant risks. It is imperative to address these issues to ensure the safe and effective operation of CAVs. However, the exploration of commun...

This research presents a multi-objective optimization framework for incremental siting of capacitated vertiports that integrates real land use data and aims to maximize generalized cost savings while minimizing infrastru...

PurposeUser acceptance is a necessary precondition to implementing self-driving buses as a solution to public transport challenges. Focusing on potential users in a real-life setting, this paper aims to analyze the facto...

In a continuously changing environment, the aviation sector faces the challenge of balancing adaptability to technological changes, alignment with environmental and social considerations, and agility in responding to unf...

The emergence of portable electronic devices (PEDs) has provided people with most anything at the touch of a button but has caused many safety-related distractions at the same time. A somewhat addictive reliance on PEDs,...