In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for
limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method …

Abstract Wireless Sensor Networks (WSNs) have attracted various academic researchers,
engineers, science, and technology communities. This attraction is due to their broad …

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 …

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

Internet of Vehicles (IoV) is an application of the Internet of Things (IoT) network that
connects smart vehicles to the internet, and vehicles with each other. With the emergence of …

In wireless sensor networks (WSNs), energy efficiency is a significant design challenge that
can be resolved by clustering and routing approaches. They are considered as Non …

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 …

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 …

The identification and localization of malicious nodes in wireless sensor networks (WSNs) is
a hot area of research that can considerably extend the network's lifetime and make it more …

Abstract Sensors in a Wireless Sensor Network (WSN) sense, process, and transmit
information simultaneously. They mainly find applications in agriculture monitoring …