Physics-trained autoencoder tidies weather data but cannot beat raw inputs for evapotranspiration
A physics-regularized autoencoder cut dew-point inconsistency in reconstructed Delhi weather data by 87 percent, yet still could not beat XGBoost ...
A physics-regularized autoencoder cut dew-point inconsistency in reconstructed Delhi weather data by 87 percent, yet still could not beat XGBoost ...
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 editorial in Architectural Intelligence argues that architecture is shifting from technology as a passive tool to a symbiotic ...
A new review traces how long-range ordered platinum intermetallics, from binary PtCo to five-element high-entropy systems, deliver higher activity and ...
A systematic review of 57 studies finds that AI-enabled Pharma 4.0 tools after COVID-19 concentrated on early-stage drug discovery metrics, ...
A study in Water Resources Management found that a random forest model achieved the lowest prediction error for qanat flowrate ...
A dual-expert framework combining paraphrase-based augmentation and aspect tokenization reached 98.5% accuracy on the imbalanced Twitter US-Airline Sentiment dataset, outperforming ...
A database analysis of 2073 UHPC mixtures from 165 publications finds that filler type and dosage have only small associations ...
A diffusion MRI analysis grouped 73 ALS patients into three white matter subtypes whose imaging-derived disease stages correlated with clinical ...
A machine learning model combining CT radiomics with clinical variables predicted spontaneous ureteral stone passage within four weeks with an ...
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© 2025 Scienmag - Science Magazine