SECCHI, MAURICIO ANDRES
SECCHI, MAURICIO ANDRES
DIPARTIMENTO DI SCIENZE
Mostra
records
Risultati 1 - 3 di 3 (tempo di esecuzione: 0.009 secondi).
A Novel Probabilistic Approach for Debris Flow Accumulation Volume Prediction Using Bayesian Neural Networks with Synthetic and Real-World Data
2025-01-01 Pasculli, Antonio; Secchi, Mauricio; Mangifesta, Massimo; Cencetti, Corrado; Sciarra, Nicola
Artificial Intelligence for Learning 2D Debris-Flow Dynamics: Application of Fourier Neural Operators and Synthetic Data to a Case Study in Central Italy
2026-01-01 Secchi, Mauricio; Pasculli, Antonio; Sciarra, Nicola
Learning Debris Flow Dynamics with a Deep Learning Fourier Neural Operator: Application to the Rendinara–Morino Area
2025-01-01 Secchi, Mauricio; Pasculli, Antonio; Mangifesta, Massimo; Sciarra, Nicola
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Novel Probabilistic Approach for Debris Flow Accumulation Volume Prediction Using Bayesian Neural Networks with Synthetic and Real-World Data | 2025 | Pasculli, Antonio; Secchi, Mauricio; Mangifesta, Massimo; Cencetti, Corrado; Sciarra, Nicola | |
| Artificial Intelligence for Learning 2D Debris-Flow Dynamics: Application of Fourier Neural Operators and Synthetic Data to a Case Study in Central Italy | 2026 | Secchi, Mauricio; Pasculli, Antonio; Sciarra, Nicola | |
| Learning Debris Flow Dynamics with a Deep Learning Fourier Neural Operator: Application to the Rendinara–Morino Area | 2025 | Secchi, Mauricio; Pasculli, Antonio; Mangifesta, Massimo; Sciarra, Nicola |