Tag: Machine learning

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 ...

A new neural-physical framework called NeuPlume reconstructs complete three-dimensional greenhouse gas plumes and emission rates from sparse drone measurements, outperforming ...

Researchers have developed a two-level spatiotemporal clustering algorithm that automatically extracts individual drought events from 42 years of United States ...

A machine learning analysis of over 6,000 power plants shows that identical emissions can be visible or invisible to satellites ...

Researchers have introduced DACD, a dynamic adaptive learning method that detects concept drift in streaming data with a window-based CUSUM ...

Researchers at Wuhan University have developed YOLO-CSM, an enhanced YOLOv11n-based AI framework that detects microplastics with 92.06% mAP50 accuracy at ...

A major new review finds that rivers deliver roughly 0.8 to 1.0 petagrams of carbon to the ocean each year, ...

Researchers have developed an evidential deep learning framework that detects stroke with near-perfect accuracy while quantifying its own uncertainty in ...