Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

Foundation models are used to train a broad system of general data to build adaptations to
new bottlenecks. Typically, they contain hundreds of billions of hyperparameters that have …

Brain cancer is one of the cell synthesis diseases. Brain cancer cells are analyzed for patient
diagnosis. Due to this composite cell, the conceptual classifications differ from each and …

The Levenberg-Marquardt and Newton are two algorithms that use the Hessian for the
artificial neural network learning. In this article, we propose a modified Levenberg-Marquardt …

A previsão de demanda é uma metodologia da administração de empresas para estimar um
valor futuro de uma grandeza de interesse. Realizar previsões de demanda significa …

This paper studies the codesign optimization approach to determine how to optimally adapt
automatic control of an intelligent electric vehicle to driving styles. A cyber-physical system …

Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

The market penetration of Plug-in Electric Vehicles (PEVs) is escalating due to their energy
saving and environmental benefits. In order to address PEVs impact on the electric …

In order to enhance energy efficiency and improve system performance, the road mobility
system requires more preview information and advanced methods. This paper proposes a …

This paper proposes a distributed integral-sliding-mode (ISM) control strategy for
cooperative braking control of a connected vehicle platoon with a focus on the car-following …