HIGHLIGHTS
- who: Wandee Thaisiam and colleagues from the Department of Water Resources Engineering, Kasetsart University, Bangkok, Thailand have published the research work: Enhancing a Multi-Step Discharge Prediction with Deep Learning and a Response Time Parameter, in the Journal: Water 2022, 14, x FOR PEER REVIEW of /2022/
- what: Chang et_al explored the state-of-the-art ML research focusing on flood forecasts with diverse case studies. The authors proposed a discharge estimation model for flood forecasting and early warning system. The authors proposed a novel framework to forecast river discharge data which this work, the . . .
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