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 ...
A deep neural network reconstruction of two decades of measurements reveals that nitrous acid trends have been a major, previously ...
A year-round study in Mérida, Mexico, reveals that springtime biomass burning and summer African dust alternately reshape Caribbean aerosol chemistry, ...
A new laboratory study shows that common user behaviours such as hot-reloading, overloading, and opening the door of a modern ...
During the 2023 STAQS campaign, NASA's TEMPO satellite, aircraft, and lidar observations revealed how sea breezes, residual pollution layers, and ...
A five-site winter study across the North China Plain shows that nitrogenous organic compounds formed through ammonia-driven aqueous reactions are ...
Researchers fused Sentinel-5P, MODIS, and Sentinel-2 data with XGBoost machine learning to produce 250-meter PM2.5 maps for Lahore, revealing strong ...
A new satellite study combining Sentinel-5P TROPOMI and NASA EMIT observations reveals rising methane concentrations across Pakistan and pinpoints oil ...
French researchers have developed an on-road method to measure how well car cabin filters remove fine particles in real Paris ...
Springtime measurements in a Helsinki street canyon show that coarse road-dust particles can inflate urban light absorption readings by up ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine