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1 Ergebnisse
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Flood Susceptibility Mapping Using a Deep Neural Network Mo..:
Filippo Balestra
;
Michele Del Vecchio
;
Dina Pirone
...
https://www.mdpi.com/2673-4931/21/1/36. , 2022
Link:
https://doi.org/10.3390/environsciproc2022021036
RT Journal T1
Flood Susceptibility Mapping Using a Deep Neural Network Model: The Case Study of Southern Italy
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:e6f7082d5d5540e5bf26048a4ebf2713&Exemplar=1&LAN=DE A1 Filippo Balestra A1 Michele Del Vecchio A1 Dina Pirone A1 Maria Antonia Pedone A1 Danilo Spina A1 Salvatore Manfreda A1 Giovanni Menduni A1 Daniele Fabrizio Bignami PB MDPI AG YR 2022 K1 flood-prone areas K1 machine learning technique K1 data driven methods K1 conditioning factors K1 deep neural network K1 flood inventory map K1 Environmental sciences K1 GE1-350 JF https://www.mdpi.com/2673-4931/21/1/36 LK http://dx.doi.org/https://doi.org/10.3390/environsciproc2022021036 DO https://doi.org/10.3390/environsciproc2022021036 SF ELIB - SuUB Bremen
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