Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

Machine learning typically relies on the assumption that training and testing distributions are
identical and that data is centrally stored for training and testing. However, in real-world …

The widespread adoption of consumer electronics devices coupled with the emergence of
6G technology has led to the establishment of an extensive network of interconnected …

This paper discusses the recent insights on the Big Data role in the sustainability of smart
mobility. Systematic Literature Review is applied to scientific publications web repositories …

Big data and its distributed approach to data management have evolved significantly in
recent years, giving rise to a huge volume of data generated from new services, devices (eg …

The rapid growth of Industrial Internet of Things (IIoT) applications generates massive
amount of heterogeneous data that are prone to cyber-attacks. The imperative is to secure …

Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …

Existing distributed photovoltaic (PV) power forecasting methods fail to address the impact of
sample scarcity and heterogeneity in PV power data. Moreover, training a single prediction …

Advancements in electric vehicle (EV) technology and integration of renewable energy
systems into EV has emerged as a transformative standard for sustainable and efficient …