Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.
Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...
Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
Abstract: The polarimetric interferometric synthetic aperture radar (Pol-InSAR) model under P-band observations exhibits vertical structure diversity. Compared with the exponential-based random volume ...
The selective oxidation of alcohols to aldehydes is a vital reaction in organic synthesis and chemical production. However, this reaction exhibits a complex reaction network influenced by temperature, ...
Comparison of canopy height dynamics in plantations and secondary forests. (A) Violin plots of canopy height in 2019. (B) The regression slope of annual canopy height for 1986 to 2019. (C) The CV of ...
THURSDAY, July 24, 2025 (HealthDay News) -- For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according ...
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