Tag: Machine learning

A Houston study of nearly 8,000 pediatric appointments found that while social risk data did not improve AI no-show prediction, ...

Researchers have developed an iterative residual correction method that uses new soil profile data to significantly improve the accuracy and ...

A new study in PLOS Climate shows that simple deep learning models, especially the LSTM architecture, outperform the physics-based WRF ...

A multi-omics study of 67 Parkinson's disease patients and 64 controls reveals microbial-driven lipid and amino acid pathways, with gut-derived ...

Using SHAP, ALE, and LIME explainable AI techniques on daily data from 2008 to 2025, researchers show that oil market ...

A new USGS study trained 3,198 machine learning models to reveal the regional drivers of streamflow drought across the United ...

Researchers used automated machine learning and cluster analysis of Nigeria Malaria Indicator Survey data to predict malaria risk in minors ...

A four-month campaign at Finland's SMEAR II station used machine learning to screen hundreds of environmental variables against ice-nucleating particle ...

A multi-agent reinforcement learning framework schedules tasks across a 2000-node big data cluster with 92.4 percent success and millisecond-scale latency, ...

Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...