- Titre
- Imperfect data and hydraulic modelling of urban drainage networks
- Créateurs - sans rôle
- Carole Delenne - Université de Montpellier, Hydrosciences Montpellier - HSMYassine Belghaddar - Berger (Canada)Nanée Chahinian - Université de Montpellier, Hydrosciences Montpellier - HSM
- Détails de publication
- Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, Vol.LNCS.LNAI-14294
- Colloque
- ECSQARU 2023 - 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Special session on AI and heterogeneous data (Arras, France, 19/09/2023–22/09/2023)
- Publications en série
- Symbolic and Quantitative Approaches to Reasoning with Uncertainty 17th European Conference, ECSQARU 2023, Arras, France, September 19–22, 2023, Proceedings
- Identifiants
- 9940821409311
- Unité académique
- Hydrosciences Montpellier - HSM; Institut Montpelliérain Alexander Grothendieck - IMAG
- Langue
- English
- Type de ressource
- Conference proceeding
- Champs locaux
- hal-04403952
Acte de colloque
Imperfect data and hydraulic modelling of urban drainage networks
Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, Vol.LNCS.LNAI-14294
Symbolic and Quantitative Approaches to Reasoning with Uncertainty 17th European Conference, ECSQARU 2023, Arras, France, September 19–22, 2023, Proceedings
ECSQARU 2023 - 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty. Special session on AI and heterogeneous data (Arras, France, 19/09/2023–22/09/2023)
Indicateurs
1 Consultations de la notice