The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...
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 ...
Abstract: This research aims to propose a terahertz metamaterial-based absorber that can sense the alterations in the enclosing medium’s refractive index. The suggested layout comprises a pair of ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
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