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A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study
Research article (KSCE Journal of Civil Engineering, 2022) · cited 10× · AI/ML
A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study
Summary
A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study is a scholarly article[1].
Key Facts
A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study's Case Study — instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-physical-and-machine-learning-model-for-assessing-landslide-spatial-probability-caused-by-raising-of-ground-wat
MLA“A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-physical-and-machine-learning-model-for-assessing-landslide-spatial-probability-caused-by-raising-of-ground-wat.
BibTeX@misc{4ortxyz_a-hybrid-physical-and-machine-learning-model-for-assessing-landslide-spatial-probability-caused-by-raising-of-ground-wat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-physical-and-machine-learning-model-for-assessing-landslide-spatial-probability-caused-by-raising-of-ground-wat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study — https://4ort.xyz/entity/a-hybrid-physical-and-machine-learning-model-for-assessing-landslide-spatial-probability-caused-by-raising-of-ground-wat (retrieved 2026-05-24)
