Combining signal decomposition and deep learning model to predict noisy runoff coefficient Article Swipe
Arash Rahi
,
Mehdi Rahmati
,
Jacopo Dari
,
Heye Bogena
,
Harry Vereecken
,
Renato Morbidelli
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.jhydrol.2024.131815
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.jhydrol.2024.131815
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jhydrol.2024.131815
- OA Status
- hybrid
- Cited By
- 3
- References
- 88
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401540399
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4401540399Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.jhydrol.2024.131815Digital Object Identifier
- Title
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Combining signal decomposition and deep learning model to predict noisy runoff coefficientWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-13Full publication date if available
- Authors
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Arash Rahi, Mehdi Rahmati, Jacopo Dari, Heye Bogena, Harry Vereecken, Renato MorbidelliList of authors in order
- Landing page
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https://doi.org/10.1016/j.jhydrol.2024.131815Publisher landing page
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.jhydrol.2024.131815Direct OA link when available
- Concepts
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Surface runoff, SIGNAL (programming language), Decomposition, Computer science, Deep learning, Environmental science, Hydrology (agriculture), Artificial intelligence, Remote sensing, Geology, Geotechnical engineering, Programming language, Ecology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3Per-year citation counts (last 5 years)
- References (count)
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88Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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