Recommendations for ride-hailing zones are crucial for matching drivers with passengers
efficiently, improving mobility, and managing traffic effectively. However, current …

Transport has always played a major role in shaping society. By enabling or restricting the
movement of people and goods, the presence or absence of transport services and …

Federated learning enables model training on multiple clients locally, without the need to
transfer their data to a central server, thus ensuring data privacy. In this paper, we …

Vehicular sensors and biosensors have emerged as crucial components in modern
automotive technology, advancing vehicle safety, performance optimization, and driver well …

This paper focuses on the monitoring and prediction of the energy consumption of IT
equipment to make informed decisions in terms of energy efficiency. The challenge with …

An intelligent transportation system (ITS) offers commercial and personal movement through
the smart city (SC) communication paradigms with hassle-free information sharing. ITS …

Security and protection of the data is the core objective of every organization, but since
cyber-attacks got more advanced than ever before, the data is compromised more often …

Federated learning presents a promising approach for preparing machine learning models
while protecting information protection in cloud computing situations. This investigation …

Financial fraud is a persistent problem for consumers and financial institutions worldwide. It
loses billions of dollars annually. Consequently, a strong fraud detection system (FDS) is …