AI-Driven Nanomaterial Platform Detects and Captures Water Pollutants in One Closed Loop
A closed-loop AI platform that senses water contamination and adaptively doses smart nanomaterials achieved over 90 percent classification accuracy and ...
A closed-loop AI platform that senses water contamination and adaptively doses smart nanomaterials achieved over 90 percent classification accuracy and ...
A new PLOS Digital Health study shows that cuff-less blood pressure prediction from PPG signals achieves low errors only when ...
Researchers have developed an unsupervised deep learning model called GSA-VAE that detects faults in electric vehicle batteries by fusing causal ...
A three-sensor comparison over Lahore shows the PRISMA hyperspectral satellite dramatically improves classification of transitional urban-density classes, while confirming that ...
A new review showcases how low-cost robotic canes, AI-based diabetic foot screening, and simple EEG analysis tested in real-world clinical ...
A new open-source Python package called ROOFS benchmarks multiple feature selection methods on a researcher's own data, evaluating predictive performance ...
Researchers have used machine learning to discover that lactate ligands unlock reversible zinc oxidation, enabling a safe, circuit-free carrier that ...
A systematic review of 83 studies finds that while deep learning models excel at ECG-based cardiovascular disease prediction, weak external ...
Mathematicians have developed ADMM and linearized ADMM algorithms with explicit convergence guarantees for weakly convex optimization, demonstrating dramatic speedups in ...
A new heterogeneous graph Kolmogorov-Arnold network called HG-KAN predicts how water injected into layered oil reservoirs will perform, achieving high ...
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© 2026 Scienmag - Science Magazine