The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …

Water management is one of the crucial topics discussed in most of the international forums.
Water harvesting and recycling are the major requirements to meet the global upcoming …

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 …

The Internet of Underwater Things (IoUT) has become widely popular in the past decade as
it has huge prospects for the economy due to its applicability in various use cases such as …

Coronavirus (COVID-19) has caused a global disaster with adverse effects on global health
and the economy. Early detection of COVID-19 symptoms will help to reduce the severity of …

Detecting anomalies, intrusions, and security threats in the network (including Internet of
Things) traffic necessitates the processing of large volumes of sensitive data, which raises …

This paper explores the potential for communication-efficient federated learning (FL) in
modern distributed systems. FL is an emerging distributed machine learning technique that …

Maritime and ship** are unambiguously the cornerstones of the global economy and
transportation. To improve efficiency, maritime sector activities are focused on the realization …

Featured Application In the future, the application of this study is very feasible and very close
to being implemented for the auto-sorting system for various fish or other objects, in the fish …

Federated learning (FL) is a distributed machine learning process, which allows multiple
nodes to work together to train a shared model without exchanging raw data. It offers several …