Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …

A smart device carries a great amount of sensitive patient data as it offers innovative and
enhanced functionalities in the smart healthcare system. Moreover, the components of …

Recent technological advancements have considerably improved healthcare systems to
provide various intelligent services, improving life quality. The Metaverse, often described as …

The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative
shift towards a more resilient future, particularly concerning pandemic preparedness. Within …

In contemporary healthcare, the prediction and identification of cardiac diseases is crucial.
By leveraging the capabilities of Internet of Things (IoT)-enabled devices and Electronic …

The aim of the peer-to-peer (P2P) decentralized gaming industry has shifted towards
realistic gaming environment (GE) support for game players (GPs). Recent innovations in …

As healthcare data becomes increasingly available from various sources, including clinical
institutions, patients, insurance companies, and pharmaceutical industries, machine …

Autonomous vehicles (AVs) are getting popular because of their usage in a wide range of
applications like delivery systems, self-driving taxis, and ambulances. AVs utilize the power …

Recent technological advancements have considerately improved healthcare systems to
provide various intelligent healthcare services and improve the quality of life. Federated …

Understanding spatiotemporal correlations in power systems is crucial for maintaining grid
stability, reliability, and efficiency. By discerning connections between spatial and temporal …