Greenhouse gas (GHG) emissions and consequential global warming are grand societal
challenges, and mitigating it requires improved control measures as well as advanced …

In this paper, we present the development and evaluation of a contextually relevant, cost-
effective, multihop cluster-based agricultural Internet of Things (MCA-IoT) network. This …

Federated Learning (FL) has emerged as a prominent solution for distributed learning
environments, enabling collaborative model training without centralized data collection …

Integrating IoT (Internet of Things) in agriculture represents a significant advancement in
modernizing and optimizing farming practices. Historically, agriculture has evolved from …

This research work proposes a novel IoT-based framework for smart farming in precision
agriculture, incorporating state-of-the-art technologies such as Deep Reinforcement …

This manuscript provides an extensive review of the existing literature regarding the
confluence of Wireless Sensor Networks (WSN) and Internet of Things (IoT) innovations in …

CPU scheduling algorithms are fundamental components of operating systems that play a
critical role in managing processes and optimizing system performance. This paper …