Pasculli, A.; Secchi, M.; Mangifesta, M.; Cencetti, C.; Sciarra, N.
A Novel Probabilistic Approach for Debris Flow Accumulation Volume Prediction Using Bayesian Neural Networks with Synthetic and Real-World Data. Geosciences 2025, 15, 362.
https://doi.org/10.3390/geosciences15090362
AMA Style
Pasculli A, Secchi M, Mangifesta M, Cencetti C, Sciarra N.
A Novel Probabilistic Approach for Debris Flow Accumulation Volume Prediction Using Bayesian Neural Networks with Synthetic and Real-World Data. Geosciences. 2025; 15(9):362.
https://doi.org/10.3390/geosciences15090362
Chicago/Turabian Style
Pasculli, Antonio, Mauricio Secchi, Massimo Mangifesta, Corrado Cencetti, and Nicola Sciarra.
2025. "A Novel Probabilistic Approach for Debris Flow Accumulation Volume Prediction Using Bayesian Neural Networks with Synthetic and Real-World Data" Geosciences 15, no. 9: 362.
https://doi.org/10.3390/geosciences15090362
APA Style
Pasculli, A., Secchi, M., Mangifesta, M., Cencetti, C., & Sciarra, N.
(2025). A Novel Probabilistic Approach for Debris Flow Accumulation Volume Prediction Using Bayesian Neural Networks with Synthetic and Real-World Data. Geosciences, 15(9), 362.
https://doi.org/10.3390/geosciences15090362