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Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China
Research article (International Journal of Environmental Research and Public Health, 2019) · cited 109× · AI/ML
Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China
Summary
Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China is a scholarly article[1].
Key Facts
Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China's 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). Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-the-predictive-ability-of-machine-learning-methods-for-landslide-susceptibility-mapping-using-smote-for-lishu
MLA“Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-the-predictive-ability-of-machine-learning-methods-for-landslide-susceptibility-mapping-using-smote-for-lishu.
BibTeX@misc{4ortxyz_optimizing-the-predictive-ability-of-machine-learning-methods-for-landslide-susceptibility-mapping-using-smote-for-lishu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-the-predictive-ability-of-machine-learning-methods-for-landslide-susceptibility-mapping-using-smote-for-lishu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China — https://4ort.xyz/entity/optimizing-the-predictive-ability-of-machine-learning-methods-for-landslide-susceptibility-mapping-using-smote-for-lishu (retrieved 2026-05-24)
