The edge computing (EC) paradigm brings computation and storage to the edge of the
network where data is both consumed and produced. This variation is necessary to cope …

The debate about how Mobility as a Service (MaaS) will revolutionize individual and
collective mobility is gaining increasing attention from researchers, industries, and public …

Recently, the commercial potentials and practical values of Mobility as a Service (MaaS)
have been witnessed for sustainable development of smart cities in the field of intelligent …

Machine learning technologies have invaded our daily lives with a wide range of
applications such as fraud detection, product recommendations, data mining, and image …

Online Failure Prediction (OFP) is a technique that attempts to predict incoming failures to
mitigate their consequences. Machine Learning (ML) has been successfully used to create …

In a world fueled by digitalization, the amounts of data generated daily hold a big potential
for improving decision-making processes, urban planning, and fostering sustainable and …

Mobility as a Service (MaaS) is to provide users with customized one-stop travel experience
by integrating various traffic modes, effectively improve the travel service quality, and …

Abstract The synergy between Artificial Intelligence (AI) and the Internet of Things (IoT) is
driving a profound transformation in device intelligence, cloud systems, and associated …

This paper explores the convergence of IoT (Internet of Things) technologies with AI
(Artificial Intelligence) and edge-to-cloud computing paradigms, highlighting their collective …

(57) ABSTRACT A system including a server and a first publisher node device is provided.
The first publisher node device transmits a request including an authentication credential …