Is Part Of: Environmental modelling & software. Volume 131(2020) - British Library Electronic Legal Deposit Catalogue-Journal Issues and Articles Search Results

Is Part Of Environmental modelling & software. Volume 131(2020)

1. A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under Interbasin Water Transfer regimes. (September 2020)

Authors:: Essenfelder, A.H.; Giupponi, C.
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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Record Type:: Journal Article
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2. A multiple-uncertainty analysis framework for integrated assessment modelling of several sustainable development goals. (September 2020)

Authors:: Forouli, Aikaterini; Nikas, Alexandros; Van de Ven, Dirk-Jan; Sampedro, Jon; Doukas, Haris
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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3. A recursive algorithm for calculating the longest flow path and its iterative implementation. (September 2020)

Authors:: Cho, Huidae
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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4. AcoustiCloud: A cloud-based system for managing large-scale bioacoustics processing. (September 2020)

Authors:: Brown, Alexander; Garg, Saurabh; Montgomery, James
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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5. Advancing real-time flood prediction in large estuaries: iFLOOD a fully coupled surge-wave automated web-based guidance system. (September 2020)

Authors:: Khalid, Arslaan; Ferreira, Celso M.
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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Record Type:: Journal Article
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6. Applying transfer function-noise modelling to characterize soil moisture dynamics: a data-driven approach using remote sensing data. (September 2020)

Authors:: Pezij, Michiel; Augustijn, Denie C.M.; Hendriks, Dimmie M.D.; Hulscher, Suzanne J.M.H.
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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Record Type:: Journal Article
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7. BaHSYM: Parsimonious Bayesian hierarchical model to predict river sediment yield. (September 2020)

Authors:: Zoboli, Ottavia; Hepp, Gerold; Krampe, Jörg; Zessner, Matthias
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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8. Considerations for selecting a machine learning technique for predicting deforestation. (September 2020)

Authors:: Mayfield, Helen J.; Smith, Carl; Gallagher, Marcus; Hockings, Marc
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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Record Type:: Journal Article
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9. Detecting early warning signals of long-term water supply vulnerability using machine learning. (September 2020)

Authors:: Robinson, Bethany; Cohen, Jonathan S.; Herman, Jonathan D.
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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Record Type:: Journal Article
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10. Diminished reality system with real-time object detection using deep learning for onsite landscape simulation during redevelopment. (September 2020)

Authors:: Kido, Daiki; Fukuda, Tomohiro; Yabuki, Nobuyoshi
Journal:: Environmental modelling & software
Issue:: Volume 131(2020)
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Record Type:: Journal Article
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