Astronomers working with data from the European Space Agency’s Gaia space telescope have identified 87 stellar stream ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

Algorithms analyze vibration patterns, temperature anomalies and pressure fluctuation locally, triggering alerts before ...

We don’t usually speculate on the true identity of the hackers behind these projects, but when [TN666]’s accoustic ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Community Detection (CD) in weighted social networks is a highly active research field, celebrated for its profound practical implications across a multitude of disciplines. Genetic algorithms (GAs) ...

The surface of the Moon hides a complex and varied geology underneath. To unravel the Moon’s rich geological history, we rely on geophysical data acquired over decades of lunar missions. However, ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...