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Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China
Research article (Advances in Space Research, 2024) · cited 18× · AI/ML
Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China
Summary
Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China is a scholarly article[1].
Key Facts
Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China's instance of is recorded as scholarly article[2].
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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). Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/landslide-susceptibility-prediction-and-mapping-in-loess-plateau-based-on-different-machine-learning-algorithms-by-hybri
MLA“Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/landslide-susceptibility-prediction-and-mapping-in-loess-plateau-based-on-different-machine-learning-algorithms-by-hybri.
BibTeX@misc{4ortxyz_landslide-susceptibility-prediction-and-mapping-in-loess-plateau-based-on-different-machine-learning-algorithms-by-hybri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China}}, year = {2026}, url = {https://4ort.xyz/entity/landslide-susceptibility-prediction-and-mapping-in-loess-plateau-based-on-different-machine-learning-algorithms-by-hybri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China — https://4ort.xyz/entity/landslide-susceptibility-prediction-and-mapping-in-loess-plateau-based-on-different-machine-learning-algorithms-by-hybri (retrieved 2026-05-24)
