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Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea
Research article (Atmospheric Research, 2024) · cited 23× · AI/ML
Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea
Summary
Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea is a scholarly article[1].
Key Facts
Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea'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). Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-bcsi-a-deep-learning-based-framework-for-bias-correction-and-spatial-imputation-of-pm2-5-concentrations-in-south-ko
MLA“Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-bcsi-a-deep-learning-based-framework-for-bias-correction-and-spatial-imputation-of-pm2-5-concentrations-in-south-ko.
BibTeX@misc{4ortxyz_deep-bcsi-a-deep-learning-based-framework-for-bias-correction-and-spatial-imputation-of-pm2-5-concentrations-in-south-ko_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea}}, year = {2026}, url = {https://4ort.xyz/entity/deep-bcsi-a-deep-learning-based-framework-for-bias-correction-and-spatial-imputation-of-pm2-5-concentrations-in-south-ko}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea — https://4ort.xyz/entity/deep-bcsi-a-deep-learning-based-framework-for-bias-correction-and-spatial-imputation-of-pm2-5-concentrations-in-south-ko (retrieved 2026-05-24)
