Dynamic Lag Encoding and Multi-Head Attention Improve Deep Learning Flood Forecasting
A deep learning model combining dynamic lag encoding and temporal multi-head attention significantly reduces peak flow forecasting errors across multi-hour ...
A deep learning model combining dynamic lag encoding and temporal multi-head attention significantly reduces peak flow forecasting errors across multi-hour ...
Simulations of the Yellow River delta front show that brief artificial water-sediment regulation pulses, covering only about 5.5 percent of ...
A 2000–2024 study finds transpiration-driven evapotranspiration rising 2.58 mm per year in the middle reaches of the Yellow River, with ...
A new open-access dataset compiles uniformly measured laser diffraction grain-size data for 744 surface sediment samples across the Bohai, Yellow, ...
A new Hydrogeology Journal study maps how cold springs and deep geothermal karst waters around the Jinan Pluton in North ...
A study of the Yellow River South Bank Irrigation District used stable isotopes and hydrochemical modeling to show that groundwater ...
Researchers mapped 40 heritage tourism sources and 106 potential corridors across China's Yellow River Cultural Tourism Belt, ranking them into ...
A 600,000-year sediment record from the South Yellow Sea shows that glacial sea-level falls exposed shelf sediments to intense silicate ...
A new reconstruction of Holocene rainfall shows that precipitation in eastern China alternated between north and south, creating conditions that ...
A physics-guided graph neural network with an extended LSTM backbone achieved year-long daily runoff forecasts on the middle Yellow River, ...
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© 2026 Scienmag - Science Magazine