Backscatter wireless communications and sensing in green Internet of Things
Internet of Things (IoT) is a key technology for enabling ubiquitous applications that
interconnect with cyber-physical systems in various environments. However, its large scale …
interconnect with cyber-physical systems in various environments. However, its large scale …
Reconfigurable intelligent surface-based symbiotic radio for 6G: Design, challenges, and opportunities
Energy efficiency (EE) and spectrum efficiency (SE) are two key performance metrics in the
sixth generation (6G) wireless communication networks due to the ultra-massive connectivity …
sixth generation (6G) wireless communication networks due to the ultra-massive connectivity …
NOMA-enabled backscatter communications for green transportation in automotive-industry 5.0
Automotive-Industry 5.0 will use emerging 6G communications to provide robust,
computationally intelligent, and energy-efficient data sharing among various onboard …
computationally intelligent, and energy-efficient data sharing among various onboard …
Energy-efficient resource allocation for 6G backscatter-enabled NOMA IoV networks
The integration of Ambient Backscatter Communication (AmBC) with Non-Orthogonal
Multiple Access (NOMA) is expected to support connectivity of low-powered Internet-of …
Multiple Access (NOMA) is expected to support connectivity of low-powered Internet-of …
Energy efficiency optimization for backscatter enhanced NOMA cooperative V2X communications under imperfect CSI
Automotive-Industry 5.0 will use beyond fifth-generation (B5G) technologies to provide
robust, computationally intelligent, and energy-efficient data sharing among various onboard …
robust, computationally intelligent, and energy-efficient data sharing among various onboard …
Learning-based resource allocation for backscatter-aided vehicular networks
Heterogeneous backscatter networks are emerging as a promising solution to address the
proliferating coverage and capacity demands of next-generation vehicular networks …
proliferating coverage and capacity demands of next-generation vehicular networks …
Diagnosis of diabetic retinopathy through retinal fundus images and 3D convolutional neural networks with limited number of samples
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 …
to minor and major blindness and is more prevalent among adults. Automated screening …
[Retracted] Efficient Algorithms for E‐Healthcare to Solve Multiobject Fuse Detection Problem
I Ahmad, I Ullah, WU Khan… - Journal of …, 2021 - Wiley Online Library
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 …
artificial intelligence applications (such as FUSE‐AI (E‐healthcare MRI scan), face detection …
NOMA-enabled optimization framework for next-generation small-cell IoV networks under imperfect SIC decoding
To meet the demands of massive connections, diverse quality of services (QoS), ultra-
reliable and low latency in the future sixth-generation (6G) Internet-of-vehicle (IoV) …
reliable and low latency in the future sixth-generation (6G) Internet-of-vehicle (IoV) …
Energy-efficient backscatter-assisted coded cooperative NOMA for B5G wireless communications
In this manuscript, we propose an alternating optimization framework to maximize the
energy efficiency of a backscatter-enabled cooperative Non-orthogonal multiple access …
energy efficiency of a backscatter-enabled cooperative Non-orthogonal multiple access …