AI With Double Attention Sharpens Drought Forecasts Across China
Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...
Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...
A new study reveals that two devastating Himalayan rainfall disasters in 2019 and 2023 were driven by contrasting interactions between ...
A new Econometrica study shows that people underreact to signals when inferring hidden states but overreact to the same signals ...
Researchers have developed MLFQ-Hybrid, a deep learning framework that adapts the operating system concept of multi-level feedback queues to improve ...
A systematic review of 130 studies finds that AI is transforming how decentralized energy communities forecast, optimize, and manage storage, ...
Researchers have unveiled SURF, a fast compressible hydrodynamic modelling framework that reproduces solar wind and coronal mass ejection behaviour with ...
Machine learning forecasts of international student flows to the United Kingdom reveal a concentration paradox in which apparent diversification masks ...
A 25-year monitoring record and machine learning forecasts reveal shifting heavy metal contamination in Moroccan Mediterranean river sediments, with lead ...
A multicenter Turkish time-series study finds that calendar patterns and historical attendance outperform weather data in forecasting daily emergency department ...
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© 2026 Scienmag - Science Magazine