Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

The IT team at North-Eastern Hill University has launched an innovative AI-driven landslide mapping tool specifically for Meghalaya. Utilizing an impressive combination of ten machine learning ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Approximately 7% of the state falls under the “very high-risk” category, while 6% is classified as “high risk.” East Khasi Hills emerged as the most vulnerable district, with nearly 730 square ...

The Department of Information Technology at North-Eastern Hill University has developed a Landslide Susceptibility Map using ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

2025年6月27日，浙江大学第一附属医院学者在期刊 《Journal of Advanced Research》（IF=13.0）发表了一篇题为 ：“Machine learning ensemble meets clinical practice ...