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

Let's say you're reading a story, or playing a game of chess. You may not have noticed, but each step of the way, your mind ...

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

With the recent first light milestone for the Vera Rubin Observatory, it's only a matter of time before one of astronomy's most long-awaited surveys begins. The Legacy Survey of Space and Time (LSST) ...

Machine learning algorithm selector GUI: regression, classification, time series forecasting, clustering, dimensionality reduction, new data generation and special classification scenarios. - ...

The Random Forest model (RF), proposed by Breiman (2001) constitutes a machine learning algorithm that amalgamates the Bagging class of supervised ensemble learning algorithms with the random subspace ...

After the Dončić trade went down, it became clear that Cuban didn't hold the same power he had wielded for two decades in Dallas.

Scikit-Learn is a powerful framework for traditional machine learning algorithms such as regression, classification, and clustering. It integrates well with Linux-based Python environments, making it ...