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Material Type: Artigo
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An adaptive daily runoff forecast model using VMD-LSTM-PSO hybrid approachWang, Xiujie ; Wang, Yanpeng ; Yuan, Peixian ; Wang, Ling ; Cheng, DonglingHydrological sciences journal, 2021-07, Vol.66 (9), p.1488-1502 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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A VMD-MSMA-LSTM-ARIMA model for precipitation predictionCui, Xuefei ; Wang, Zhaocai ; Pei, RenlinHydrological sciences journal, 2023-04, Vol.68 (6), p.810-839 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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Use of long short-term memory network (LSTM) in the reconstruction of missing water level data in the River SeineJanbain, Imad ; Deloffre, Julien ; Jardani, A. ; Vu, Minh Tan ; Massei, NicolasHydrological sciences journal, 2023-07, Vol.68 (10), p.1372-1390 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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A novel smoothing-based long short-term memory framework for short-to medium-range flood forecastingKhatun, Amina ; Chatterjee, Chandranath ; Sahu, Gaurav ; Sahoo, BhabagrahiHydrological sciences journal, 2023-02, Vol.68 (3), p.488-506 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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Evolution characteristics of potential evapotranspiration over the Three-River Headwaters RegionJiang, Zhipeng ; Shi, Haiyun ; Liu, Suning ; Zhou, Zhaoqiang ; Wang, Yao ; Cai, HejiangHydrological sciences journal, 2021-07, Vol.66 (10), p.1552-1566 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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Deep temporal convolutional networks for F10.7 radiation flux short-term forecastingWang, Luyao ; Zhang, Hua ; Zhang, Xiaoxin ; Peng, Guangshuai ; Li, Zheng ; Xu, XiaojunAnnales geophysicae (1988), 2024-04, Vol.42 (1), p.91-101 [Periódico revisado por pares]Katlenburg-Lindau: Copernicus GmbHTexto completo disponível |
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Material Type: Artigo
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Comparative evaluation of deep learning and machine learning in modelling pan evaporation using limited inputsKisi, Ozgur ; Mirboluki, Amin ; Naganna, Sujay Raghavendra ; Malik, Anurag ; Kuriqi, Alban ; Mehraein, MojtabaHydrological sciences journal, 2022-07, Vol.67 (9), p.1309-1327 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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Actualité de la recherche : de l'avantage d'être dyslexiqueCailleteau, AdèleSciences humaines (Auxerre, France), 2023-01, Vol.354Auxerre: Sciences HumainesTexto completo disponível |
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Material Type: Artigo
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Predicting reference evapotranspiration based on hydro-climatic variables: comparison of different machine learning modelsSabanci, Dilek ; Yurekli, Kadri ; Comert, Mehmet Murat ; Kilicarslan, Serhat ; Erdogan, MuberraHydrological sciences journal, 2023-05, Vol.68 (7), p.1050-1063 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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Sequential downscaling of GRACE products to map groundwater level changes in Krishna River basinGorugantula, Sai Srinivas ; Kambhammettu, BVN PHydrological sciences journal, 2022-09, Vol.67 (12), p.1846-1859 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |