Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan

Research article (Terrestrial Atmospheric and Oceanic Sciences, 2015) · cited 76× · AI/ML
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Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan

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Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan. Retrieved May 24, 2026, from https://4ort.xyz/entity/shallow-and-deep-seated-landslide-differentiation-using-support-vector-machines-a-case-study-of-the-chuetsu-area-japan
MLA “Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/shallow-and-deep-seated-landslide-differentiation-using-support-vector-machines-a-case-study-of-the-chuetsu-area-japan.
BibTeX @misc{4ortxyz_shallow-and-deep-seated-landslide-differentiation-using-support-vector-machines-a-case-study-of-the-chuetsu-area-japan_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan}}, year = {2026}, url = {https://4ort.xyz/entity/shallow-and-deep-seated-landslide-differentiation-using-support-vector-machines-a-case-study-of-the-chuetsu-area-japan}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan — https://4ort.xyz/entity/shallow-and-deep-seated-landslide-differentiation-using-support-vector-machines-a-case-study-of-the-chuetsu-area-japan (retrieved 2026-05-24)

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