The curriculum, designed for automotive technology practitioners at OEMs and GCCs, includes domain-specific modules ... industry requires digital-native talent skilled in AI, machine learning, ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

David Ussery discusses using Machine Learning methods to predict the pathogenicity of a bacterial infection based on genome ...

The domain-specific attention module is designed, which jointly uses the channel and space attention mechanism to capture the low-level features of the fault data in the source and target domains with ...

Kara, I., Ok, M. and Ozaday, A. (2022) Characteristics of Understanding URLs and Domain Names Features The Detection of Phishing Websites with Machine Learning Methods. IEEE Access, 10, 124420-124428.

Patient characteristics and model fairness across subgroups. Credit: JAMA Network Open (2025). DOI: 10.1001/jamanetworkopen.2025.13685 ...

Addressing the challenge of achieving a global circular bioeconomy requires efficient and robust bio-based processes operating at different scales. These processes should also be competitive ...

At present, Symmetric Positive Definite (SPD) matrix data is the most common non-Euclidean data in machine learning. Because SPD data don’t form a linear space, most machine learning algorithms can ...