Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.
SANTA CLARA, CA - November 13, 2025 - - As machine learning (ML) systems become increasingly central to industries worldwide, ...
Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...
Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...
A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging ...
Soil moisture is a key factor driving the Earth’s water and carbon cycles, but large-scale monitoring has long been hindered ...
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
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