Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Automated analysis of microscopic images offers a powerful new tool for predicting and managing under-deposit corrosion in ...

The Machine Learning Development Market is expected to grow from USD 35.0 billion in 2023 to USD 942.4 billion by 2033, with ...

Fiber-optic ATR-IR spectroscopy enables real-time liver tumor classification during surgery, offering faster and more objective diagnostics with machine learning support.

The new AI-powered algorithm analyses high-resolution microscope images of metal surfaces to assess two crucial indicators of corrosion: the thickness of corrosive deposits and the porosity (tiny ...

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

Researchers at Edith Cowan University (ECU) have developed a cutting-edge Artificial Intelligence (AI) system that could ...

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...