AI Learns to Read the Trends: Language Models Sharpen Time Series Forecasts
Researchers at Tsinghua University have developed a Series Saliency module guided by large language models that improves the accuracy and ...
Researchers at Tsinghua University have developed a Series Saliency module guided by large language models that improves the accuracy and ...
A five-year study of black carbon in Medellín, Colombia, finds urban exposure equivalent to about ten passive cigarettes daily, with ...
George Mason University scientists Daniel Tong and Siqi Ma have received $160,470 from the University of Texas at Austin to ...
A new study of winter air in Xi'an shows China's Clean Air Action has lowered particle-bound PAH pollution, but oxidized ...
A new mixed-methods study in Colombia's coal heartland shows that satellite-verified forest loss, persistent air pollution, and community-defined values reveal ...
A 25-year machine-learning-corrected satellite record of aerosol optical depth over Nigeria reveals stable national trends, a February dust peak, and ...
A new study of Split, Croatia, finds that ships and road traffic both contribute to urban air pollution and noise, ...
A three-year comparison of observations and WRF-CMAQ simulations in Jilin City shows that ozone is strongly controlled by temperature while ...
Researchers at the University of KwaZulu-Natal have developed an algorithm that detects and repairs timestamp-displaced sensor data by exploiting spatial ...
A new study combining econometrics and machine learning finds that coal is the dominant driver of PM2.5 pollution across G7 ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine