Abstract: Active teaching methods and adaptive learning are used in engineering education to encourage competency development. Although learning analysis must be based on competencies to monitor the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Major challenges in toxicity prediction include dealing with imbalanced and limited ...

Abstract: Active learning (AL) is a semi-supervised learning algorithm based on human-computer interaction. It aims to achieve satisfactory performance with less manual annotation costs. How to select ...

Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this ...

Recognizing a tooth-marked tongue has important clinical diagnostic value in traditional Chinese medicine. Current deep learning methods for tooth mark detection require extensive manual labeling and ...

Machine learning (ML) has found widespread applications in predicting material properties and mechanical behaviors across various scales in computational materials science. This data-driven approach ...

Matthew R. Tobin ’27, a Crimson Editorial editor, is a double concentrator in Government and Economics in Winthrop House. Falling asleep in lecture? You aren’t alone. According to a report by the ...

The soil ecosystem has been severely damaged because of the increasingly severe environmental problems caused by excessive application of phosphorus (P) fertilizer, which seriously hinders soil ...

U.S. college students have an increasingly positive perception of AI and are applying it to study more actively and efficiently, while educators see new opportunities to enhance instruction, according ...