Manifestation of LiDAR-Derived Parameters in the Spatial Prediction of Landslides Using Novel Ensemble Evidential Belief Functions and Support Vector Machine Models in GIS
about
Oil Adulteration Identification by Hyperspectral Imaging Using QHM and ICA.Spatial prediction of rotational landslide using geographically weighted regression, logistic regression, and support vector machine models in Xing Guo area (China)A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
P2860
Manifestation of LiDAR-Derived Parameters in the Spatial Prediction of Landslides Using Novel Ensemble Evidential Belief Functions and Support Vector Machine Models in GIS
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в лютому 2015
@uk
name
Manifestation of LiDAR-Derived ...... t Vector Machine Models in GIS
@en
Manifestation of LiDAR-Derived ...... t Vector Machine Models in GIS
@nl
type
label
Manifestation of LiDAR-Derived ...... t Vector Machine Models in GIS
@en
Manifestation of LiDAR-Derived ...... t Vector Machine Models in GIS
@nl
prefLabel
Manifestation of LiDAR-Derived ...... t Vector Machine Models in GIS
@en
Manifestation of LiDAR-Derived ...... t Vector Machine Models in GIS
@nl
P921
P1476
Manifestation of LiDAR-Derived ...... t Vector Machine Models in GIS
@en
P2093
Mustafa Neamah Jebur
P304
P356
10.1109/JSTARS.2014.2341276
P577
2015-02-01T00:00:00Z