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Modeling air quality prediction using a deep learning approach: Method optimization and evaluation

Research article (Sustainable Cities and Society, 2020) · cited 200× · AI/ML
academia openalex:W3093869481
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Modeling air quality prediction using a deep learning approach: Method optimization and evaluation

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Modeling air quality prediction using a deep learning approach: Method optimization and evaluation is a scholarly article[1].

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  • Modeling air quality prediction using a deep learning approach: Method optimization and evaluation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Modeling air quality prediction using a deep learning approach: Method optimization and evaluation. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-air-quality-prediction-using-a-deep-learning-approach-method-optimization-and-evaluation
MLA “Modeling air quality prediction using a deep learning approach: Method optimization and evaluation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-air-quality-prediction-using-a-deep-learning-approach-method-optimization-and-evaluation.
BibTeX @misc{4ortxyz_modeling-air-quality-prediction-using-a-deep-learning-approach-method-optimization-and-evaluation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling air quality prediction using a deep learning approach: Method optimization and evaluation}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-air-quality-prediction-using-a-deep-learning-approach-method-optimization-and-evaluation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling air quality prediction using a deep learning approach: Method optimization and evaluation — https://4ort.xyz/entity/modeling-air-quality-prediction-using-a-deep-learning-approach-method-optimization-and-evaluation (retrieved 2026-05-24)

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