A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Correction to: Effectiveness of Newmark‑based sampling strategy for coseismic landslide susceptibility mapping using deep learning, support vector machine, and logistic regression
Correction to: Effectiveness of Newmark‑based sampling strategy for coseismic landslide susceptibility mapping using deep learning, support vector machine, and logistic regression
Correction to: Effectiveness of Newmark‑based sampling strategy for coseismic landslide susceptibility mapping using deep learning, support vector machine, and logistic regression
Xi, Chuanjie (author) / Han, Mei (author) / Hu, Xiewen (author) / Liu, Bo (author) / He, Kun (author) / Luo, Gang (author) / Cao, Xichao (author)
2022
Article (Journal)
Electronic Resource
English
BKL:
56.00$jBauwesen: Allgemeines
/
38.58
Geomechanik
/
38.58$jGeomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
56.00
Bauwesen: Allgemeines
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB18
| British Library Online Contents | 2014
Presenting logistic regression-based landslide susceptibility results
| British Library Online Contents | 2018
Regression models for estimating coseismic landslide displacement
| Elsevier | 2007