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Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea
Research article (Atmosphere, 2020) · cited 27× · AI/ML
Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea
Summary
Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea is a scholarly article[1].
Key Facts
Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-the-hidden-markov-bayesian-classifier-and-propagation-concept-for-probabilistic-assessment-of-meteorologi
MLA“Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-the-hidden-markov-bayesian-classifier-and-propagation-concept-for-probabilistic-assessment-of-meteorologi.
BibTeX@misc{4ortxyz_application-of-the-hidden-markov-bayesian-classifier-and-propagation-concept-for-probabilistic-assessment-of-meteorologi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-the-hidden-markov-bayesian-classifier-and-propagation-concept-for-probabilistic-assessment-of-meteorologi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea — https://4ort.xyz/entity/application-of-the-hidden-markov-bayesian-classifier-and-propagation-concept-for-probabilistic-assessment-of-meteorologi (retrieved 2026-05-24)
