A collider simulation study finds that Kolmogorov–Arnold Networks match the classification performance of multilayer perceptrons without improving parameter efficiency, though ...
A new study in Natural Hazards uses symbolic regression to derive mathematical models that capture the combined impact of flood ...
An assessment of the Beijing-Tianjin-Hebei region found that urban infrastructure flood resilience generally increased from 2000 to 2022.
A review in AI in Civil Engineering examines the balance between AI predictive power and explainability, proposing a framework to ...
Researchers have introduced a dual-branch deep learning architecture named SeAttnFusionNet, designed to automate the binary classification of pharyngitis versus no ...
Researchers have developed a hierarchical taxonomy and decision tree framework to help artificial intelligence developers systematically select appropriate interpretability techniques ...
A new Bayesian network framework predicts dropout risk in online continuing education with 88.9 percent cross-validated accuracy and recommends personalized ...
A feature attention mechanism embedded in a deep network restored apple sugar-prediction accuracy across three harvest years using only a ...
A language-model-based AI called Quest2Dx screens for Parkinson's disease using self-reported health questionnaires, achieving AUROCs up to 0.977 and transferring ...
A new narrative review finds AI tools improving diagnostic sensitivity and workflow efficiency in radiology while warning of demographic bias, ...
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