An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...
The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...
OrboGraph is pleased to announce it has been named a winner in the 2026 Artificial Intelligence Excellence Awards in the category of Fraud Detection and Prevention, presented by the Business ...
AI analysis of 500 stroke survivors reveals that the brain compensates for severe injury by "rejuvenating" undamaged regions.
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
Abstract: Anomalous measurements bring huge challenges for existing learning-based distribution system optimization methods. Although several graphical learning-based methods have been developed to ...
Abstract: Dynamic traffic flows at unsignalized intersections generate complex interaction cascades among different traffic participants, where indirect behavioral influences propa gate through ...
Introduction: Isolevuglandin (IsoLG)-adducted peptides contribute to hypertension by enhancing class I human leukocyte antigen (HLA)-mediated T cell activation. The capacity of different HLA alleles ...
Predicting the effects of multiple mutations on protein function is challenging due to the intricate interplay between residues. Machine learning has advanced these efforts, but traditional neural ...
With Virginia football set to host Coastal Carolina in less than two weeks, it's time for our initial depth chart ahead of the Hoos' season opener against the Chanticleers. With a ton of spring ...
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