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Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network.

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Title: Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network.
Authors: Moy de Vitry, Matthew1,2 (AUTHOR) matthew.moydevitry@eawag.ch, Kramer, Simon1 (AUTHOR), Wegner, Jan Dirk3 (AUTHOR), Leitão, João P.2 (AUTHOR)
Source: Hydrology & Earth System Sciences. 2019, Vol. 23 Issue 11, p4621-4634. 14p. 1 Color Photograph, 2 Diagrams, 2 Charts, 6 Graphs.
Database: Environment Complete
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Hydrology+%26+Earth+System+Sciences%22">Hydrology & Earth System Sciences</searchLink>. 2019, Vol. 23 Issue 11, p4621-4634. 14p. 1 Color Photograph, 2 Diagrams, 2 Charts, 6 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=140067364
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        Value: 10.5194/hess-23-4621-2019
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      – Code: eng
        Text: English
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        StartPage: 4621
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      – TitleFull: Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network.
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              Value: 23
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              Value: 11
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