Federated learning for edge computing: A survey
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …
network, allowing edge devices to train simple models that can then be deployed in practice …
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 …
Securing industrial internet of things against botnet attacks using hybrid deep learning approach
Industrial Internet of Things (IIoT) formation of a richer ecosystem of intelligent,
interconnected devices while enabling new levels of digital innovation has transformed and …
interconnected devices while enabling new levels of digital innovation has transformed and …
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 …
An effective wireless sensor network routing protocol based on particle swarm optimization algorithm
Improving wireless communication and artificial intelligence technologies by using Internet
of Things (Itoh) paradigm has been contributed in developing a wide range of different …
of Things (Itoh) paradigm has been contributed in developing a wide range of different …
Optimal task offloading and resource allocation for C-NOMA heterogeneous air-ground integrated power Internet of Things networks
By combining information communication technology with power grid, the smart grid-
oriented Power Internet of Things (PIoT) has become a critical technology to guarantee the …
oriented Power Internet of Things (PIoT) has become a critical technology to guarantee the …
[Retracted] On Improved 3D‐CNN‐Based Binary and Multiclass Classification of Alzheimer's Disease Using Neuroimaging Modalities and Data Augmentation …
Alzheimer's disease (AD) is an irreversible illness of the brain impacting the functional and
daily activities of elderly population worldwide. Neuroimaging sensory systems such as …
daily activities of elderly population worldwide. Neuroimaging sensory systems such as …
Backscatter sensors communication for 6G low-powered NOMA-enabled IoT networks under imperfect SIC
The combination of nonorthogonal multiple access (NOMA) using power-domain with
backscatter communication (BC) is expected to connect large-scale Internet of things (IoT) …
backscatter communication (BC) is expected to connect large-scale Internet of things (IoT) …
When RIS meets GEO satellite communications: A new sustainable optimization framework in 6G
Reflecting intelligent surfaces (RIS) is a low-cost and energy-efficient solution to achieve
high spectral efficiency in sixth-generation (6G) networks. The basic idea of RIS is to smartly …
high spectral efficiency in sixth-generation (6G) networks. The basic idea of RIS is to smartly …
Capacity optimization of next-generation UAV communication involving non-orthogonal multiple access
Unmanned air vehicle communication (UAV) systems have recently emerged as a quick, low-
cost, and adaptable solution to numerous challenges in the next-generation wireless …
cost, and adaptable solution to numerous challenges in the next-generation wireless …