The researchers report that their model achieved a 93% cross-validation score in binary classification, underscoring its ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The ...

When two stars orbit one another in such a way that one blocks the other's light each time it swings around, that's an ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

Students at a leading London private school are studying a drag queen’s memoir and works by non-binary authors as part of a push to “diversify” the English curriculum. Staff at Alleyn’s ...

Implementations of AI in BI involve using machine learning algorithms and other AI technologies to automate analysis. SEE: (TechRepublic Premium) What is artificial intelligence? SEE: (TechRepublic) ...

This project focuses on detecting and classifying faults in a DC microgrid system using Support Vector Classification (SVC), a machine learning technique known for its robustness in binary and ...