Landslide susceptibility assessment using deep learning considering unbalanced samples distribution: Fid-Bau Portal

Landslide susceptibility assessment using deep learning considering unbalanced samples distribution

Mwakapesa, Deborah Simon / Lan, Xiaoji / Mao, Yimin

Access

Download

Page navigation

Document information

Similar titles

Export, share and cite

Landslide susceptibility assessment using deep learning considering unbalanced samples distribution

Mwakapesa, Deborah Simon / Lan, Xiaoji / Mao, Yimin

Landslide susceptibility assessment using deep learning considering unbalanced samples distribution

Mwakapesa, Deborah Simon / Lan, Xiaoji / Mao, Yimin

Access

Download

Page navigation

Document information

Similar titles

Export, share and cite

Document information

Title:

Landslide susceptibility assessment using deep learning considering unbalanced samples distribution

Additional title:

Heliyon

Contributors:

Mwakapesa, Deborah Simon (author) / Lan, Xiaoji (author) / Mao, Yimin (author)

Published in:

Heliyon ; 10 ; e30107

Publication date:

2024-05-01

ISSN:

2405-8440

DOI:

https://doi.org/10.1016/j.heliyon.2024.e30107

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Licence:

http://creativecommons.org/licenses/by-nc-nd/4.0/

Wang, Yue / Zhou, Chao / Cao, Ying et al. | Springer Verlag | 2024

Uncertainties of landslide susceptibility prediction considering different landslide types

Faming Huang / Haowen Xiong / Chi Yao et al. | DOAJ | 2023

Free access

Landslide Susceptibility Assessment Considering Time-Varying of Dynamic Factors

Li, Zhongbo / Yin, Chao / Tan, Ziyong et al. | ASCE | 2024

Landslide Susceptibility Mapping with Deep Learning Algorithms

Jules Maurice Habumugisha / Ningsheng Chen / Mahfuzur Rahman et al. | DOAJ | 2022

Free access

Landslide susceptibility assessment using SVM machine learning algorithm

Marjanović, Miloš | Online Contents | 2011