Autonomous vehicles (AVs) or self-driving cars have the potential to provide many benefits
such as improving mobility and reducing the energy and emissions consumed, travel time …

Over the last few years, a large emphasis has been devoted to autonomous vehicles (AVs),
as vehicle automation promises a large number of benefits such as: improving mobility and …

Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

Digitalization and automation play essential roles in how companies create value for their
customers in emerging industries, including autonomous vehicle solutions (AVSs) and …

Autonomous vehicles have been highlighted as a major growth area for future transportation
systems and the deployment of large numbers of these vehicles is expected when safety …

Autonomous vehicles (AVs) have the potential to offer a large number of benefits such as
reducing the energy consumed and reducing the anxiety of the drivers. On the other side …

We live in the era of Intelligent Transport Systems (ITS), which is an extension of Vehicular
AdHoc Networks (VANETs). In VANETs, vehicles act as nodes connected with each other …

The level of investment in AVs technology has been increasing over the years as both
researchers and developers are cooperating with the objective of develo** AVs and …

This article focuses on the trends, opportunities, and challenges of novel arithmetic for deep
neural network (DNN) signal processing, with particular reference to assisted-and …

Federated learning (FL) is a technique that allows multiple participants to collaboratively
train a Deep Neural Network (DNN) without the need to centralize their data. Among other …