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Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting
Research article (Remote Sensing of Environment, 2021) · cited 81× · AI/ML
Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting
Summary
Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting is a scholarly article[1].
Key Facts
Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting'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). Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting. Retrieved May 24, 2026, from https://4ort.xyz/entity/geographical-and-temporal-encoding-for-improving-the-estimation-of-pm2-5-concentrations-in-china-using-end-to-end-gradie
MLA“Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/geographical-and-temporal-encoding-for-improving-the-estimation-of-pm2-5-concentrations-in-china-using-end-to-end-gradie.
BibTeX@misc{4ortxyz_geographical-and-temporal-encoding-for-improving-the-estimation-of-pm2-5-concentrations-in-china-using-end-to-end-gradie_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting}}, year = {2026}, url = {https://4ort.xyz/entity/geographical-and-temporal-encoding-for-improving-the-estimation-of-pm2-5-concentrations-in-china-using-end-to-end-gradie}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Geographical and temporal encoding for improving the estimation of PM2.5 concentrations in China using end-to-end gradient boosting — https://4ort.xyz/entity/geographical-and-temporal-encoding-for-improving-the-estimation-of-pm2-5-concentrations-in-china-using-end-to-end-gradie (retrieved 2026-05-24)
