Apprendre aux machines à comprendre l'eau : Adapter l'IA à la complexité des hydrosystèmes

Authors

Line Kong a Siou (ORCID: https://orcid.org/0000-0002-0254-6424)
Guillaume Artigue (ORCID: https://orcid.org/0000-0002-4610-584X)
Séverin Pistre
Anne Johannet
Saint Fleur, Bob, E.

Publication Details

Journal: SPIRE - Sciences Po Institutional REpository
Published: 2025-11-12
Primary Topic: Information Technology and Learning
Type: article
Field-Weighted Citation Impact: 0.00

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article

Apprendre aux machines à comprendre l'eau : Adapter l'IA à la complexité des hydrosystèmes

Line Kong a Siou, Guillaume Artigue, Séverin Pistre, Anne Johannet et al.

Nov 12, 2025

SPIRE - Sciences Po Institutional REpository

Information Technology and Learning

article

Apprendre aux machines à comprendre l'eau : Adapter l'IA à la complexité des hydrosystèmes

Line Kong a Siou, Guillaume Artigue, Séverin Pistre, Anne Johannet, Saint Fleur, Bob, E.

November 12, 2025article en

Abstract

No abstract available for this paper.

SPIRE - Sciences Po Institutional REpository

Clean water and sanitation

Openalex Percentile: Top 11%

Information Technology and Learning

OpenAlex

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Apprendre aux machines à comprendre l'eau : Adapter l'IA à la complexité des hydrosystèmes — Line Kong a Siou, Guillaume Artigue, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS