Explainable AI Spots Hidden Faults in Industrial Rotors With Over 98% Accuracy
Brazilian researchers have combined vibration analysis with explainable artificial intelligence to diagnose unbalance, misalignment, and cracks in rotors supported by ...
Brazilian researchers have combined vibration analysis with explainable artificial intelligence to diagnose unbalance, misalignment, and cracks in rotors supported by ...
A new study in Water Resources Management shows that Random Forest and other machine learning models can forecast daily suspended ...
Researchers at the CDC and Emory University have built a machine learning-powered database that automatically curates the rapidly growing literature ...
Researchers in West Bengal fused the Analytic Hierarchy Process with Random Forest, Logistic Regression, and Support Vector Machine models to ...
A three-decade satellite analysis of India's Suti River Basin shows fallow land collapsing from over half the catchment to a ...
Egyptian researchers used CT measurements of the maxillary sinuses and nasal cavity with machine learning to predict sex from human ...
Researchers used a 61-qubit quantum processor and projected quantum kernels to improve prediction of CAR T-cell cytotoxicity, with the largest ...
Researchers have developed a divide-and-conquer fake news detection framework combining linguistic features and word embeddings that achieves F1-scores above 98 ...
A hybrid machine learning framework that reads leaf color, texture, and vein patterns diagnosed magnesium and iron deficiencies in field-grown ...
Researchers used Sentinel-2 satellite imagery and machine learning to detect and track persistent water hyacinth infestations in lakes across five ...
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© 2025 Scienmag - Science Magazine