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Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency
Research article (Natural Hazards, 2024) · cited 18× · AI/ML
Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency
Summary
Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency is a scholarly article[1].
Key Facts
Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency. Retrieved May 24, 2026, from https://4ort.xyz/entity/predictive-machine-learning-for-gully-susceptibility-modeling-with-geo-environmental-covariates-main-drivers-model-perfo
MLA“Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predictive-machine-learning-for-gully-susceptibility-modeling-with-geo-environmental-covariates-main-drivers-model-perfo.
BibTeX@misc{4ortxyz_predictive-machine-learning-for-gully-susceptibility-modeling-with-geo-environmental-covariates-main-drivers-model-perfo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency}}, year = {2026}, url = {https://4ort.xyz/entity/predictive-machine-learning-for-gully-susceptibility-modeling-with-geo-environmental-covariates-main-drivers-model-perfo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency — https://4ort.xyz/entity/predictive-machine-learning-for-gully-susceptibility-modeling-with-geo-environmental-covariates-main-drivers-model-perfo (retrieved 2026-05-24)
