In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Some studies containing instructions in white text or small font — visible only to machines — will be withdrawn from preprint ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

This paper investigates the application of support vector machine to the modeling of high-speed interconnects with largely varying and/or highly uncertain design parameters. The proposed method relies ...

Random number generators are influenced by internal and external factors, leading to reduced randomness during work; therefore, real-time quality detection of these generators is crucial. However, ...

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) ...