Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area
- DOI
- 10.3389/fenvs.2022.897254
- Published
- 2022-06-13
- Container
- Frontiers in Environmental Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fenvs.2022.897254,
title = {Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area},
author = {Bahareh Ghasemian and Himan Shahabi and Ataollah Shirzadi and Nadhir Al-Ansari and Abolfazl Jaafari and Marten Geertsema and Assefa M. Melesse and Sushant K. Singh and Anuar Ahmad},
year = {2022},
journal = {Frontiers in Environmental Science},
doi = {10.3389/fenvs.2022.897254},
url = {https://doi.org/10.3389/fenvs.2022.897254}
}RIS
TY - JOUR TI - Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area AU - Bahareh Ghasemian AU - Himan Shahabi AU - Ataollah Shirzadi AU - Nadhir Al-Ansari AU - Abolfazl Jaafari AU - Marten Geertsema AU - Assefa M. Melesse AU - Sushant K. Singh AU - Anuar Ahmad PY - 2022 JO - Frontiers in Environmental Science DO - 10.3389/fenvs.2022.897254 UR - https://doi.org/10.3389/fenvs.2022.897254 ER -
APA
Ghasemian, B., Shahabi, H., Shirzadi, A., Al-Ansari, N., Jaafari, A., Geertsema, M., Melesse, A. M., Singh, S. K., & Ahmad, A. (2022). Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2022.897254
Source records
- crossref · retrieved 2026-09-27T01:21:58.689Z