Tag: Machine learning

Spanish researchers have developed RRWK, a return random walk-based subgraph extraction method that preserves structural fidelity in dense graphs where ...

Researchers combined aerial image segmentation and camera-based object detection to build the first corridor-wide, AI-driven indicators of parking supply and ...

Researchers have shown that the topology of climate networks built from sea level pressure data carries a detectable signature of ...

An international research team has built an open, reproducible machine learning workflow that classifies honey seasons as poor, moderate, or ...

A hybrid SVMD-CNN-LSTM model cut groundwater quality forecasting error by up to 58 percent and revealed very poor water quality ...

Researchers compiled 32,714 landslide records and built a selective ensemble machine learning framework that stabilizes runout distance prediction and reveals ...

A new event-based machine learning approach reframes vineyard mildew forecasting as the prediction of disease-risk episodes rather than daily status ...

Researchers trained a natural language processing model to automatically derive neurological outcome scores for comatose cardiac arrest patients from clinical ...

A systematic review of 101 studies maps how artificial intelligence could support older adults living at home, but finds real-world ...

A new review argues that artificial intelligence and non-destructive spectroscopy can overcome the chemical and biological limitations of traditional antioxidant ...