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

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 ...

Landslides are highly destructive geological disasters that pose a serious threat to the safety of people’s lives and property. In this study, historical records of landslides in Yunnan Province, ...

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 ...

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 system for forecasting weather and predicting future climate uses artificial intelligence (AI) to achieve results comparable with the best existing models while using much less computer power, ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

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.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

SHENZHEN, June 15 (Xinhua) -- The deployment of a new 24-hour rapid intensification forecast model for typhoons and its 12-hour rapid intensification forecast service now offer China significantly ...

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...