Federated learning (FL) is a type of distributed machine learning approacs that trains global
models through the collaboration of participants. It protects data privacy as participants only …

Internet of Medical Things (IoMT) is becoming ubiquitous with a proliferation of smart
medical devices and applications used in smart hospitals, smart-home based care, and …

Abstract Heterogeneous Networks (HetNets) play an imperative role in enhancing the
quality-of-service (QoS) for end-users by increasing the spectral efficiency (SE) of the …

Metaverse is trending to create a digital circumstance that can transfer the real world to an
online platform supported by large quantities of real-time interactions. Pre-trained Artificial …

Early detection of melanoma remains a daily challenge due to the increasing number of
cases and the lack of dermatologists. Thus, AI-assisted diagnosis is considered as a …

In the present era of advanced technology, the Internet of Things (IoT) plays a crucial role in
enabling smart connected environments. This includes various domains such as smart …

With the ubiquitous advancement in smart medical devices and systems, the potential of
Remote Patient Monitoring (RPM) network is evolving in modern healthcare systems. The …

In general, deep learning models use to make informed decisions immensely. Developed
models are mainly based on centralized servers, which face several issues, including …

Big Data empowers the farming community with the information needed to optimize resource
usage, increase productivity, and enhance the sustainability of agricultural practices. The …

Abstract Internet of Things (IoT) has grown rapidly in the last decade and continues to
expand offering a wide range of devices to support a diverse set of applications. With …