Researchers have developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation...

New research shows that layer-wise pruning cuts neural network inference time and energy by up to a third while preserving...

A survey of 331 political campaign actors in Ghana shows that big data analytics capability is positively linked to both...

A prospective study found that an AI-enhanced 12-lead ECG score accurately identified angiographically significant coronary artery disease in patients undergoing...

A machine learning model called Amylo-Detect uses routine electronic health record data to identify patients at risk for cardiac amyloidosis,...

Researchers have built an AI framework that combines live video of floc formation, real-time turbidity sensing and physics-based equations to...

A comprehensive BMC Medicine review finds that artificial intelligence and digital health tools show strong potential to transform cardiometabolic care,...

A new study tested five satellite and reanalysis rainfall products against 23 Egyptian rain gauges and used deep neural networks...

Researchers have used a deep learning observation operator to assimilate daily TROPOMI sun-induced fluorescence measurements into the ISBA land surface...

A hybrid deep learning framework combining two complementary LSTM models with Bayesian ensemble stacking predicts winter road surface temperature more...