Existing approaches often overlook the intricate structural relationships within compounds, limiting both predictive accuracy and generalizability. To address these challenges, we propose TS-AC, a ...

While traditional landslide prediction methods often rely solely on rainfall intensity, the new approach integrates various water-related processes with a machine-learning model.

Our method identifies atomic interactions in bulk structures and extracts local environments as finite molecular fragments to augment the model’s training data where needed. We show that cluster-based ...

This study is important for the applied testing of big data processing methods using clustering machine learning methods coming from an industrial facility that generates electricity, heat, and ...

Nuwellis's design enables systems to account for density via user input, machine measurement, or derived data for more accurate volumetric flow tracking, the company said.

Over the last decade, technologies like Fourth Generation of Cellular Communications (4G) and Cloud computing have profoundly transformed our way of living and communicating, increasing cellular ...