Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...

Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major ...

Continuous emission monitoring systems (CEMS) were originally designed to meet regulatory reporting requirements. In a typical stack monitoring installation a gas sample is extracted, ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...

Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...

Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...