Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Filippo Balestra"'
Autor:
Filippo Balestra, Michele Del Vecchio, Dina Pirone, Maria Antonia Pedone, Danilo Spina, Salvatore Manfreda, Giovanni Menduni, Daniele Fabrizio Bignami
Publikováno v:
Environmental Sciences Proceedings, Vol 21, Iss 1, p 36 (2022)
This study suggests a rapid methodology to delineate areas prone to flood using machine learning techniques. Based on available historically flooded areas, the model employs and combines globally collectible and reproducible conditioning factors to a
Externí odkaz:
https://doaj.org/article/e6f7082d5d5540e5bf26048a4ebf2713
Autor:
Michele Del Vecchio, Filippo Balestra, Maria Antonia Pedone, Dina Pirone, Danilo Spina, Salvatore Manfreda, Giovanni Menduni
In Italy, flood hazard maps are traditionally obtained through hydrologic-hydraulic modelling. In fact, numerical simulations are usually limited to the main river or specific tributaries leaving a significant part of the territory unclassified. Ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68433bf15c61db51f6e9cc84250c9718
https://doi.org/10.5194/egusphere-egu22-12328
https://doi.org/10.5194/egusphere-egu22-12328
Craniofacial malformations and upper third facial tumor surgical management is currently performed by skull base osteotomies to allow skeleton mobilization or tumor removal. Craniotomies and retraction of frontal lobes allow wide exposure of anterior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::401e3626ab858bb7fe9625da4998e51c
http://hdl.handle.net/11573/429718
http://hdl.handle.net/11573/429718
Publikováno v:
Journal of Craniofacial Surgery; January 2005, Vol. 16 Issue: 1 p155-158, 4p