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Structural-optimized sequential deep learning methods for surface soil moisture forecasting, case study Quebec, Canada.

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Title: Structural-optimized sequential deep learning methods for surface soil moisture forecasting, case study Quebec, Canada.
Authors: Zeynoddin, Mohammad1, Bonakdari, Hossein1, hossein.bonakdari@fsaa.ulaval.ca
Source: Neural Computing & Applications; Nov2022, Vol. 34 Issue 22, p19895-19921, 27p
Database: Applied Science & Technology Source
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        Value: 10.1007/s00521-022-07529-2
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      – Code: eng
        Text: English
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        PageCount: 27
        StartPage: 19895
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      – TitleFull: Structural-optimized sequential deep learning methods for surface soil moisture forecasting, case study Quebec, Canada.
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              Text: Nov2022
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              Y: 2022
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