Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …

This review provides a detailed synthesis of various in-situ, remote sensing, and machine
learning approaches to estimate soil moisture. Bibliometric analysis of the published …

We propose a new architecture based on a fully connected feed-forward Artificial Neural
Network (ANN) model to estimate surface soil moisture from satellite images on a large …

Momentous increase in the popularity of explainable machine learning models coupled with
the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient …

Predicting groundwater levels is pivotal in curbing overexploitation and ensuring effective
water resource governance. However, groundwater level prediction is intricate, driven by …

Abstract Wireless Sensor Networks (WSNs) is a promising technology with enormous
applications in almost every walk of life. One of the crucial applications of WSNs is intrusion …

Wireless communication networks have much data to sense, process, and transmit. It tends
to develop a security mechanism to care for these needs for such modern-day systems. An …

Drastic advancement in computing technology and the dramatic increase in the usage of
explainable machine learning algorithms provide a promising platform for developing robust …

Network coverage is a pivotal performance metric of wireless multihop networks (WMNs)
determining the quality of service rendered by the network. Earlier, a few studies have …

The evolution of the internet of things as a promising and modern technology has facilitated
daily life. Its emergence was accompanied by challenges represented by its frequent …