AI Ensemble Learns to Catch Tehran’s Dangerous Ozone Peaks Before They Strike
Researchers at the University of Tehran have developed a hybrid deep learning framework called RAME that achieves 0.87 R-squared accuracy ...
Researchers at the University of Tehran have developed a hybrid deep learning framework called RAME that achieves 0.87 R-squared accuracy ...
Researchers fused Sentinel-5P, MODIS, and Sentinel-2 data with XGBoost machine learning to produce 250-meter PM2.5 maps for Lahore, revealing strong ...
French researchers have developed an on-road method to measure how well car cabin filters remove fine particles in real Paris ...
A new study in Buenos Aires' heavily polluted Matanza-Riachuelo basin shows that arbuscular mycorrhizal fungal diversity and glomalin-related soil proteins ...
Researchers built a two-stage hybrid machine learning framework combining K-Means clustering and XGBoost that predicts Istanbul's Air Quality Index with ...
A new study of roadside dust in Ado-Ekiti, Nigeria finds that cadmium and lead exceed WHO safety limits and pose ...
A new study of Nile tilapia in Kerala's Veli-Akkulam lake finds widespread microplastic contamination and manganese and chromium levels above ...
A first-of-its-kind survey of one pond in each of Chattogram's 41 wards finds severe organic and microbial pollution in central ...
A new study of Botswana's Segoditshane River shows that urban pollution gradients act as environmental filters that restructure benthic macroinvertebrate ...
Researchers have developed a two-stage modeling approach that combines high-resolution outdoor pollution predictions with building-level indoor transfer estimates to map ...
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© 2025 Scienmag - Science Magazine