Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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 (Autor:in) / Han, Mei (Autor:in) / Hu, Xiewen (Autor:in) / Liu, Bo (Autor:in) / He, Kun (Autor:in) / Luo, Gang (Autor:in) / Cao, Xichao (Autor:in)
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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
| Online Contents | 2007