IEEE

A Global Adversarial and Local Contrastive Transfer Learning Approach for Remaining Useful Life Prediction

Abstract: The transfer learning method can effectively mitigate the reliance on an extensive amount of target-domain data for the construction of remaining useful life (RUL) prediction models. While ...
IEEE

Enhancing Power Grid Reliability With Machine Learning and Auxiliary Classifier Generative Adversarial Networks: A Study on Fault Detection Using the Georgia Electric System ...

Abstract: Power networks are vital to society, yet service outages and faults can have devastating consequences. This study introduces a novel integration of machine learning and data augmentation ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
SecurityWeek

From Open Source to OpenAI: The Evolution of Third-Party Risk

Software supply chain attacks are evolving as open source and AI-generated code introduce new third-party risks. Learn how visibility and shift-left security reduce exposure.
Washington Examiner

Pentagon technology chief focused on far powers while administration prioritizes western hemisphere

The Pentagon’s head of research and engineering is focused on the most advanced threats facing the United States, rather than those closest to America’s shores. Emil Michael, the undersecretary of war ...