Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Security teams face an impossible choice: set thresholds too sensitive and drown in false positives, or set them too loose and miss real attacks. Traditional monitoring systems force this trade-off ...
Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...
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 ...
The final, formatted version of the article will be published soon. Background Although early gastric cancer (EGC) is generally limited to the mucosal and submucosal layers, lymph node metastasis can ...
Abstract: Effective student management is crucial for fostering productive learning environments. This study presents a hybrid framework integrating machine learning (ML) techniques with rough set ...
Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...
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