AI Reads Raman Spectra to Measure Cysteine in Pea Cultivars
Canadian researchers combined surface-enhanced Raman spectroscopy with deep learning to predict cysteine levels across twenty pea cultivars, achieving strong results ...
Canadian researchers combined surface-enhanced Raman spectroscopy with deep learning to predict cysteine levels across twenty pea cultivars, achieving strong results ...
A multicenter Turkish time-series study finds that calendar patterns and historical attendance outperform weather data in forecasting daily emergency department ...
University of Reading researchers used an AI weather model to replay the storm forecast behind the D-Day invasion decision, finding ...
Researchers combined kinetic Monte Carlo simulations with interpretable machine learning to predict and explain how additive manufacturing process parameters control ...
Researchers in China combined explainable machine learning with geographic terrain features to accurately predict and map devastating late-spring frost risks ...
A 25-year review of artificial intelligence applications in streamflow forecasting reveals that feed-forward neural networks dominate the field while long-range ...
Researchers in India have developed BiPC-IFS, a few-shot class-incremental learning framework that lets intrusion detection systems learn new cyberattacks from ...
Researchers at Leiden University have developed EDC, a framework that discovers single readable equations defining decision boundaries, rivaling black-box classifiers ...
Researchers have developed an offline-to-online reinforcement learning framework that uses adversarial action perturbations and an adaptive curriculum to make robot ...
Researchers built a machine learning decision support tool that classifies ARFID risk in children from a nine-item parent questionnaire with ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine