Home ›
Entities
› academia
› Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models
Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models
Research article (Natural Hazards, 2024) · cited 11× · AI/ML
Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models
Summary
Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models is a scholarly article[1].
Key Facts
Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-machine-learning-approach-in-predicting-short-term-rockburst-risks-using-microseismic-information-a-comparison-
MLA“Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-machine-learning-approach-in-predicting-short-term-rockburst-risks-using-microseismic-information-a-comparison-.
BibTeX@misc{4ortxyz_applying-machine-learning-approach-in-predicting-short-term-rockburst-risks-using-microseismic-information-a-comparison-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models}}, year = {2026}, url = {https://4ort.xyz/entity/applying-machine-learning-approach-in-predicting-short-term-rockburst-risks-using-microseismic-information-a-comparison-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applying machine learning approach in predicting short-term rockburst risks using microseismic information: a comparison of parametric and non-parametric models — https://4ort.xyz/entity/applying-machine-learning-approach-in-predicting-short-term-rockburst-risks-using-microseismic-information-a-comparison- (retrieved 2026-05-24)