CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
A Novel Hybrid Machine Learning-Based Model for Rockfall Source Identification in Presence of Other Landslide Types Using LiDAR and GIS
Authors
A Alves
A Brenning
+50Â more
A Giacomini
A Loye
A Mitchell
A Trigila
AM Fanos
AM Fanos
AM Fanos
AM Fanos
B Pradhan
B Pradhan
B Pradhan
B Pradhan
B Pradhan
BT Pham
C Corona
CI Massey
DJ Varnes
Douglas Reynolds
DT Bui
F Agliardi
F Catani
F Guzzetti
G Gigli
G Manzo
H Hong
H Lan
IN Aghdam
J Dou
J Lopez-Saez
JS Evans
K Messenzehl
L Kotthoff
L Lombardo
L Losasso
L Scrucca
M Mohammady
M Olsen
M Zare
ME Dickson
N Simon
R Kromer
R Pellicani
S Segoni
SJ Park
T. I. Mote
TB Dieu
W Chen
WM Abdulwahid
X Truong
Z Chen
Publication date
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
Abstract is not available.
Similar works
Full text
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
Last time updated on 05/09/2020