With the rapid enhancement in the design and development of the Internet of Things creates
a new research interest in the adaptation in industrial domains. It is due to the impact of …

With the continuous intervention of AI tools in the education sector, new research is required
to evaluate the viability and feasibility of extant AI platforms to inform various pedagogical …

Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …

Advances in communication technologies and artificial intelligence are accelerating the
paradigm of industrial Internet of Things (IIoT). With IIoT enabling continuous integration of …

Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed
intelligence of industrial automation thanks to its capability of distributed machine learning …

When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

Over the past few years, significant advancements have been made in the field of machine
learning (ML) to address resource management, interference management, autonomy, and …

With the Industrial Internet of Things (IIoT), mobile devices (MDs) and their demands for low-
latency data communication are increasing. Due to the limited resources of MDs, such as …

Federated learning (FL) is a promising paradigm to empower on-device intelligence in
Industrial Internet of Things (IIoT) due to its capability of training machine learning models …

The accurate prediction and assessment of effluent quality in wastewater treatment plants
(WWTPs) are paramount for the efficacy of sewage treatment processes. Neural network …