Home ›
Entities
› academia
› Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China
Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China
Research article (Journal of Cleaner Production, 2020) · cited 65× · AI/ML
Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China
Summary
Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China is a scholarly article[1].
Key Facts
Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China'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). Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China. Retrieved May 24, 2026, from https://4ort.xyz/entity/hourly-pm2-5-concentration-forecasting-based-on-mode-decomposition-recombination-technique-and-ensemble-learning-approac
MLA“Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hourly-pm2-5-concentration-forecasting-based-on-mode-decomposition-recombination-technique-and-ensemble-learning-approac.
BibTeX@misc{4ortxyz_hourly-pm2-5-concentration-forecasting-based-on-mode-decomposition-recombination-technique-and-ensemble-learning-approac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China}}, year = {2026}, url = {https://4ort.xyz/entity/hourly-pm2-5-concentration-forecasting-based-on-mode-decomposition-recombination-technique-and-ensemble-learning-approac}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hourly PM2.5 concentration forecasting based on mode decomposition-recombination technique and ensemble learning approach in severe haze episodes of China — https://4ort.xyz/entity/hourly-pm2-5-concentration-forecasting-based-on-mode-decomposition-recombination-technique-and-ensemble-learning-approac (retrieved 2026-05-24)