Peniel Adounkpe
5
Documents
Affiliation actuelle
- IMT - MINES ALES (IMT - MINES ALES)
Identifiants chercheurs
Présentation
Publications
Publications
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Deep Learning at Two Timescales: Dual Neural Networks for Predicting Fast Urban and Slow Karst FloodsInżynieria Mineralna, 2025, 3 (2), ⟨10.29227/IM-2025-02-03-27⟩
Article dans une revue
hal-05360721
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A Comparison Between Adam and Levenberg–Marquardt Optimizers for the Prediction of Extremes: Case Study for Flood Prediction with Artificial Neural NetworksITISE 2025 - 11th International Conference on Time Series and Forecasting, Jul 2025, Gran Canaria, Spain. pp.12, ⟨10.3390/engproc2025101012⟩
Communication dans un congrès
hal-05208914
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Flash flood and vigilance forecasting of a complex, anthropogenic karst hydrosystem using neural networks. Application to the Las coastal river at Toulon (South-East France)Eurokarst 2024, Jun 2024, Rome, Italy
Communication dans un congrès
hal-04625529
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Jumeaux Numériques d’Hydrosystèmes pour la Gestion des Crues : Ombre numérique ou véritable jumeau numérique ?Séminaire IMT « Data Analytics & Artificial Intelligence », Nov 2024, Nantes, France. 2024
Poster de conférence
hal-05032952
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Labcom Hydr.IA: a joint Company-Academic laboratory to develop new flood forecasting services. Case Study on the Nîmes Flash-Floods (Southeastern France)AGU 2023, Dec 2023, San Francisco, United States. 2023
Poster de conférence
hal-04343943
v1
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