Spatio-temporal Matrix Factorization Based Air Quality Inference

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INTELLIGENCE INTERDISCIPLINARY SCIENCE AND ENGINEERING | 更新时间：2024-11-15

- Spatio-temporal Matrix Factorization Based Air Quality Inference
- “在城市化进程中，空气污染问题日益严重。专家基于低秩矩阵分解方法，提出了一种融合时空特征的空气质量推断模型，有效提升了无站点区域空气质量的推断性能。”
- Advanced Engineering Sciences Vol. 56, Issue 5, Pages: 146-155(2024)
- 作者机构：
  
  青岛理工大学信息与控制工程学院，山东青岛 266520
- 作者简介：
- 基金信息：
- DOI：10.15961/j.jsuese.202201391
  CLC： TP391；TH765
- Published：20 September 2024，
  
  Published Online：22 November 2023，
  
  Received：25 December 2022，
  
  Revised：07 March 2023，
- 稿件说明：
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胡克勇,郭小兰,刘国晓,等.基于时空矩阵分解的空气质量推断[J].工程科学与技术,2024,56(5):146–155

Hu Keyong,Guo Xiaolan,Liu Guoxiao,et al.Spatio-temporal matrix factorization based air quality inference[J].Advanced Engineering Sciences,2024,56(5):146–155
胡克勇,郭小兰,刘国晓,等.基于时空矩阵分解的空气质量推断[J].工程科学与技术,2024,56(5):146–155 DOI： 10.15961/j.jsuese.202201391.

Hu Keyong,Guo Xiaolan,Liu Guoxiao,et al.Spatio-temporal matrix factorization based air quality inference[J].Advanced Engineering Sciences,2024,56(5):146–155 DOI： 10.15961/j.jsuese.202201391.

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