Precision agriculture, driven by the convergence of smart sensors and advanced
technologies, has emerged as a transformative force in modern farming practices. The …

We give an overview of recent developments in the modeling of radiowave propagation,
based on machine learning (ML) algorithms. We identify the input and output specification …

Hydrothermal biochar is a promising sustainable soil remediation agent for plant growth.
Demands for biochar properties differ due to the diversity of soil environment. In order to …

Modern cellular communication networks are already being perturbed by large and steadily
increasing mobile subscribers in high demand for better service quality. To constantly and …

Accurate path loss (PL) prediction is essential for predicting transmitter coverage and
optimizing wireless network performance. Traditional PL models are difficult to cope with the …

The integration of drones, the Internet of Things (IoT), and Artificial Intelligence (AI) domains
can produce exceptional solutions to today complex problems in smart cities. A drone, which …

Several orthodox approaches, such as empirical methods and deterministic methods, had
earlier been used for the prediction of path loss in wireless communication systems. These …

Controlling the indoor environmental quality in real time is essential for the health, well-
being and productivity of occupants of a building. In recent years, research has focused on …

The millimeter-wave (mmWave) is expected to deliver a huge bandwidth to address the
future demands for higher data rate transmissions. However, one of the major challenges in …

Unlimited access to information and data sharing wherever and at any time for anyone and
anything is a fundamental component of fifth-generation (5G) wireless communication and …