Fadil Boodoo
Publications
Publications
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Are LSTM and conceptual rainfall-runoff models able to cope with limited training datasets under diverse hydrometeorological conditions?Modeling Earth Systems and Environment, 2025, 11 (2), pp.128. ⟨10.1007/s40808-025-02316-z⟩ |
Apport modélisation des hauteurs d’eau dans les plaines d’inondation avec les GNNCongrès Eau & Intelligence Artificielle 2026, Mar 2026, Grenoble, France |
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Impact of training dataset size and its hydrometeorological typology on LSTM performance for rainfall-runoff modeling: a case study of the Severn riverSimHydro conference 2023, Société Hydrotechnique de France (SHF); the Association Française de Mécanique (AFM); the Environmental & Water Resources Institute (EWRI); the International Association for Hydro-Environment Engineering and Research (IAHR), Nov 2023, Chatou, France. pp.107-128, ⟨10.1007/978-981-97-4076-5⟩ |
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Impact of training dataset size and its hydrometeorological typology on LSTM performance for Rainfall-Runoff modeling : A case study of the Severn River (UK)SimHydro 2023: New modelling paradigms for water issues?, Nov 2023, Chatou/Paris, France |
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Comparison of a conceptual rainfall-runoff model with an artificial neural network model for streamflow prediction2023 EGU General Assembly - European Geosciences Union General Assembly, May 2023, Vienna, Austria |
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Comparison of an artificial neural network with a conceptual rainfall-runoff model for streamflow predictionPrévision des crues et des inondations – Avancées, valorisation et perspectives, Nov 2023, Toulouse, France |
Apport de l'intelligence artificielle pour la prévision spatio-temporelle des inondationsIntelligence artificielle [cs.AI]. Université de montpellier, 2025. Français. ⟨NNT : ⟩ |