The story of the world’s tropical forests in 2025 was not one of dramatic reversal, but one shaped by accumulated pressure.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Introduction: With the increase of human travel, aviation activities become more frequent, and flight safety gains more attention. Faults in aircraft engine turbine blades seriously threaten flight ...

Abstract: The residence time-difference (RTD) fluxgate sensor is critical for high-precision magnetic field measurements in applications such as unmanned aerial vehicles (UAV) magnetic surveying, ...

Digital timecards are widely used in construction to track labor hours, equipment usage, and productivity, yet they are prone to outliers caused by human error, inconsistent reporting, and interface ...

The study “Smart Grid Cybersecurity: Anomaly Detection in Solar Power Systems Using Deep Learning” is the joint effort of researchers from Noida International University and Dayananda Sagar University ...

Abstract: Fault detection in aero-engines is critical for ensuring flight safety and operational efficiency. Detecting faults in aero-engines is challenging due to the complexity of the systems and ...

In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of missing, ...

1 School of Technology, Computer Science & I.T Department, Njala University, Bo, Sierra Leone. 2 School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China. 3 School of Software ...

As urban health systems increasingly integrate digital technologies, a new study has unveiled a hybrid architecture that leverages both artificial intelligence and blockchain to dramatically enhance ...