Drone Data Reveals the Critical Wheat Growth Window That Predicts Yield
A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...
A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
A standardized benchmark of six convolutional neural networks shows that the most accurate pneumonia-detecting models also produce the most faithful ...
An explainable machine learning analysis of 2,612 S&P 1500 firm-year observations finds that company size is the dominant predictor of ...
A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation ...
A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images ...
Finnish researchers have built an explainable machine learning framework that segments B2B customers, predicts purchases with F1-scores above 0.92, and ...
A new CNN–LSTM–attention framework combines SHAP explainability and Marabou formal verification to deliver reliable, interpretable injury risk prediction from physiological ...
A new study combines graph neural networks with explainable AI to map how Laotian migrant workers in Bangkok build and ...
Three randomized field trials with over 90,000 US patients show that algorithm-assisted personalized flu risk messages modestly increase vaccination, and ...
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© 2025 Scienmag - Science Magazine