Debris flow prediction with machine learning: smart management of urban systems and infrastructures
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06197-y.pdf
Reference33 articles.
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2. Johnson CG, Kokelaar BP, Iverson RM et al (2012) Grain-size segregation and levee formation in geophysical mass flows. J Geophys Res Earth Surf. https://doi.org/10.1029/2011JF002185
3. Benito J, Bertho Y, Ippolito I, Gondret P (2012) Stability of a granular layer on an inclined “fakir plane.” EPL. https://doi.org/10.1209/0295-5075/100/34004
4. Ng CWW, Choi CE, Song D et al (2014) Physical modeling of baffles influence on landslide debris mobility. Landslides 12:1–18. https://doi.org/10.1007/s10346-014-0476-y
5. Luong TH, Baker JL, Einav I (2020) Spread-out and slow-down of granular flows through model forests. Granul Matter 22:15. https://doi.org/10.1007/s10035-019-0980-9
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