Epilepsy affects around 1% of the population worldwide. Anti-epileptic drugs are an excellent option for controlling seizure occurrence but do not work for around one-third of patients. Warning ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Based on hourly observations from expressway meteorological stations across Anhui Province and the fifth-generation atmospheric reanalysis (ERA5) data from the European Centre for Medium-Range Weather ...

A research team focused on the extreme rainfall event of "21·7" in Henan in 2021. By analyzing anomalous physical characteristics and understanding multi-model forecast biases, they significantly ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

Scientists in Iraq used a k-Nearest Neighbors algorithm to evaluate the operational status of PV modules under various conditions, including partial shading, open circuit, and short circuit scenarios.

A new model deployed at Hong Kong Observatory and National Meteorological Centre uses machine learning algorithms to boost forecast accuracy An artificial intelligence model recently deployed at the ...

A new open-source machine learning system cuts flash food forecasting time to just 15 minutes. The tool automates complex ...