In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...
Abstract: Deep Learning image forgery localization methods have achieved remarkable results but cannot maintain comparable performance when the forgery images are JPEG compressed, a format that is ...
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
Abstract: This paper proposes an innovative framework that combines convolutional neural networks (CNNs) with transfer learning to address the limitations of traditional image retrieval methods in ...
A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...
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 historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...
What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...
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