The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …

The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …

This review critically examines the role of Data Science and Artificial Intelligence (AI)
techniques in energy consumption analysis, focusing on their efficacy in identifying patterns …

The emerging field of artificial intelligence of things (AIoT, AI+ IoT) is driven by the
widespread use of intelligent infrastructures and the impressive success of deep learning …

Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …

Edge Intelligence (EI) is an emerging computing and communication paradigm that enables
Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as …

Edge intelligence has emerged as a promising paradigm to accelerate DNN inference by
model partitioning, which is particularly useful for intelligent scenarios that demand high …

Artificial intelligence (AI) has been considered a revolutionary and world-changing science,
although it is still a young field and has a long way to go before it can be established as a …

Electric vehicles are widely adopted globally as a sustainable mode of transportation. With
the increased availability of onboard computation and communication capabilities, vehicles …

As a result of the new telecommunication ecosystem landscape, wireless communication
has become an interdisciplinary field whose future is shaped by several interacting …