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An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China
Research article (The Science of The Total Environment, 2021) · cited 61× · AI/ML
An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China
Summary
An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China is a scholarly article[1].
Key Facts
An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China'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). An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-self-adaptive-deep-neural-network-for-estimating-daily-spatially-continuous-pm2-5-concentrations-across
MLA“An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-self-adaptive-deep-neural-network-for-estimating-daily-spatially-continuous-pm2-5-concentrations-across.
BibTeX@misc{4ortxyz_an-interpretable-self-adaptive-deep-neural-network-for-estimating-daily-spatially-continuous-pm2-5-concentrations-across_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-self-adaptive-deep-neural-network-for-estimating-daily-spatially-continuous-pm2-5-concentrations-across}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM2.5 concentrations across China — https://4ort.xyz/entity/an-interpretable-self-adaptive-deep-neural-network-for-estimating-daily-spatially-continuous-pm2-5-concentrations-across (retrieved 2026-05-24)
