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 ...

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 employed deep learning algorithms (PointNet++ and PointMLP) and complete feature-set machine learning algorithms (RF and SVM) for tree species classification.

Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient. In addition ...

Machine learning methods for land use and land cover (LULC) classification are vital for monitoring environmental changes. Remote sensing advancements increase the potential for classifying land cover ...

Scientists are using machine learning to find new treatments among thousands of old medicines.