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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: de Vitry, Matthew Moy1,2 matthew.moydevitry@eawag.ch, Kramer, Simon2 simon.kramer@rittmeyer.com, Wegner, Jan Dirk2 jan.wegner@geod.baug.ethz.ch, Leitão, João P.1 joaopaulo.leitao@eawag.ch
Source: Hydrology & Earth System Sciences Discussions. 2019, p1-21. 21p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 135011764
AccessLevel: 2
PubType: Academic Journal
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PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Hydrology+%26+Earth+System+Sciences+Discussions%22">Hydrology & Earth System Sciences Discussions</searchLink>. 2019, p1-21. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=135011764
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      – Type: doi
        Value: 10.5194/hess-2018-570
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      – Code: eng
        Text: English
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        PageCount: 21
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      – TitleFull: Scalable Flood Level Trend Monitoring with Surveillance Cameras using a Deep Convolutional Neural Network.
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            NameFull: Wegner, Jan Dirk
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              Text: 2019
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              Y: 2019
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              Value: 18122108
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