Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency.
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| Title: | Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency. |
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| Authors: | Adombi, Adoubi Vincent De Paul1, avadombi@uqac.ca, Chesnaux, Romain1 |
| Source: | Environmental Earth Sciences; Jan2025, Vol. 84 Issue 2, p1-17, 17p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 183199947 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12665-024-12063-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Adombi, Adoubi Vincent De Paul – PersonEntity: Name: NameFull: Chesnaux, Romain IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18666280 Numbering: – Type: volume Value: 84 – Type: issue Value: 2 Titles: – TitleFull: Environmental Earth Sciences Type: main |
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