Tag: machine learning in environmental science

Satellite gravimetry shows Saudi Arabia lost groundwater equal to roughly 4.3 × 10² cubic kilometers from 2002 to 2024, with ...

By placing just seven strategically sited soil moisture sensors across a heterogeneous Brazilian watershed and training Random Forest and XGBoost ...

Along the sun-scorched coastlines of Ras Al Khaimah in the United Arab Emirates, one of the most thermally extreme mangrove ...

A topology-aware deep reinforcement learning framework that encodes drainage networks as graphs cut simulated flood overflow by over 31 percent ...

Researchers at the University of Tehran have developed a hybrid deep learning framework called RAME that achieves 0.87 R-squared accuracy ...

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

A 25-year satellite and machine learning reconstruction of Ethiopia's Gefersa Reservoir shows that dry season algal growth and organic matter ...

Researchers in India developed a machine learning framework that predicts uranium contamination in groundwater from routine water quality measurements, cutting ...

A new Science study estimates that rivers delivered about 263,000 tons of microplastics to the ocean in 2022, with extreme ...

Microplastics are no longer just a pollution problem of accumulation; they are a problem of transformation, and a new perspective ...