Application of convolutional neural networks based on Bayesian optimization to landslide susceptibility mapping of transmission tower foundation.
- DOI
- 10.1007/s10064-023-03069-8
- Published
- 2023
- Container
- Bulletin of engineering geology and the environment
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s10064-023-03069-8,
title = {Application of convolutional neural networks based on Bayesian optimization to landslide susceptibility mapping of transmission tower foundation.},
author = {Lin M and Teng S and Chen G and Hu B},
year = {2023},
journal = {Bulletin of engineering geology and the environment},
doi = {10.1007/s10064-023-03069-8},
url = {https://doi.org/10.1007/s10064-023-03069-8}
}RIS
TY - JOUR TI - Application of convolutional neural networks based on Bayesian optimization to landslide susceptibility mapping of transmission tower foundation. AU - Lin M AU - Teng S AU - Chen G AU - Hu B PY - 2023 JO - Bulletin of engineering geology and the environment DO - 10.1007/s10064-023-03069-8 UR - https://doi.org/10.1007/s10064-023-03069-8 ER -
APA
M, L., S, T., G, C., & B, H. (2023). Application of convolutional neural networks based on Bayesian optimization to landslide susceptibility mapping of transmission tower foundation.. Bulletin of engineering geology and the environment. https://doi.org/10.1007/s10064-023-03069-8
Source records
- pubmed · retrieved 2026-09-27T00:18:13.958Z