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

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

In a world where it’s getting harder by the day to tell whether a paragraph, a painting, or even a scientific paper was ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

Anhui folk songs are an important part of Chinese traditional music, with unique melodic, rhythmic and tonal characteristics, carrying rich regional culture and historical connotations. In recent ...

A breakthrough study has developed a model that accurately predicts the failure of lithium metal anodes using electrochemical curve data from just the first two cycles. The model offers new insights ...

This study introduces the Trade-Space Exploration Machine Learning (TSE-ML) framework, a comprehensive pipeline for satellite anomaly classification that optimizes preprocessing, transformation, ...