A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...
What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Researchers successfully formalized human-like chemical reasoning into a machine-interpretable framework to enhance automated chemical reaction ...
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 ...
AZoSensors on MSN
AI maps heat inside steelmaking’s critical sintering process beds
The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.
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