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). Bayesian approach in estimating flood waste generation: A case study in South Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/bayesian-approach-in-estimating-flood-waste-generation-a-case-study-in-south-korea
MLA“Bayesian approach in estimating flood waste generation: A case study in South Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bayesian-approach-in-estimating-flood-waste-generation-a-case-study-in-south-korea.
BibTeX@misc{4ortxyz_bayesian-approach-in-estimating-flood-waste-generation-a-case-study-in-south-korea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bayesian approach in estimating flood waste generation: A case study in South Korea}}, year = {2026}, url = {https://4ort.xyz/entity/bayesian-approach-in-estimating-flood-waste-generation-a-case-study-in-south-korea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bayesian approach in estimating flood waste generation: A case study in South Korea — https://4ort.xyz/entity/bayesian-approach-in-estimating-flood-waste-generation-a-case-study-in-south-korea (retrieved 2026-05-24)
