Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

ML and AI aren’t a magic wand, but when paired with high-quality data, they’re a game changer. In forensics, and especially ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...

The Under went 12-4 in Week 1, indicating that not only were there fewer points scored than expected, but there were also fewer yards gained. Backing the Under with NFL prop bets was likely profitable ...

Abstract: Image forgery detection is crucial in maintaining the integrity of digital content. This study compares the Novel Support Vector Machine algorithm with the Linear Regression algorithm to ...

The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...

Abstract: Recently, the machine unlearning has emerged as a popular method for efficiently erasing the impact of personal data in machine learning (ML) models upon the data owner’s removal request.