With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …

The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …

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

Automotive-Industry 5.0 will use beyond fifth-generation (B5G) technologies to provide
robust, computationally intelligent, and energy-efficient data sharing among various onboard …

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

Non-orthogonal multiple access (NOMA) and backscatter communications are considered to
be promising technologies for beyond the fifth-generation (5G) due to their applications in …

With the help of machine learning, many tasks can be automated. The use of computers and
mobile devices in “intelligent” buildings may make tasks such as controlling the indoor …

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 …

This study investigates the impact of factors (network coverage, customer service, video
calls, and downloading Speed) of 3G and 4G telecommunication services performance on …

Low‐density parity‐check (LDPC) codes have become the focal choice for next‐generation
Internet of things (IoT) networks. This correspondence proposes an efficient decoding …