Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …

The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …

Artificial intelligence‐(AI‐) empowered machines are devised to mimic human actions. In the
automotive industry, AI plays a significant role in the development of vehicular technology. AI …

The integration of Ambient Backscatter Communication (AmBC) with Non-Orthogonal
Multiple Access (NOMA) is expected to support connectivity of low-powered Internet-of …

Heterogeneous backscatter networks are emerging as a promising solution to address the
proliferating coverage and capacity demands of next-generation vehicular networks …

Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads
to minor and major blindness and is more prevalent among adults. Automated screening …

Object detection plays a vital role in the fields of computer vision, machine learning, and
artificial intelligence applications (such as FUSE‐AI (E‐healthcare MRI scan), face detection …

Unmanned aerial vehicle (UAV) network is a promising technology for assisting Internet-of-
Things (IoT), where a UAV can use its limited service coverage to harvest and disseminate …

Vehicular edge computing (VEC) becomes a promising paradigm for the development of
emerging intelligent transportation systems. Nevertheless, the limited resources and …

In this manuscript, we propose an alternating optimization framework to maximize the
energy efficiency of a backscatter-enabled cooperative Non-orthogonal multiple access …