Multivariate statistical monitoring of subway indoor air quality using dynamic concurrent partial least squares-Reference-Cited by-同舟云学术

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Multivariate statistical monitoring of subway indoor air quality using dynamic concurrent partial least squares

Published:2019-12-11 Issue:4 Volume:27 Page:4159-4169
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Liu Hongbin^ORCID,Yang Chong,Huang Mingzhi,Yoo ChangKyoo

Funder

Foundation of Nanjing Forestry University

National Research Foundation of Korea

Ministry of Land Infrastructure and Transport

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11356-019-06935-9.pdf

Reference32 articles.

1. Bachoual R, Boczkowski J, Goven D, Amara N, Tabet L, On D, Leçon-Malas V, Aubier M, Lanone S (2007) Biological effects of particles from the Paris subway system. Chem Res Toxicol 20(10):1426–1433

2. Bräuner EV, Frederiksen M, Kolarik B, Gunnarsen L (2014) Typical benign indoor aerosol concentrations in public spaces and designing biosensors for pathogen detection: a review. Build Environ 82:190–202

3. Ge Z, Song Z, Gao F (2013) Review of recent research on data-based process monitoring. Ind Eng Chem Res 52(10):3543–3562

4. Geladi P, Kowalski BR (1986) Partial least-squares regression: a tutorial. Anal Chim Acta 185:1–17

5. Jun BH (2011) Fault detection using dynamic time warping (DTW) algorithm and discriminant analysis for swine wastewater treatment. J Hazard Mater 185(1):262–268

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1. Research on the design of indoor air quality monitoring system based on cloud-side-end collaboration;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

2. Single-cell transcriptomics reveals the pulmonary inflammation induced by inhalation of subway fine particles;Journal of Hazardous Materials;2024-02

3. An overview of artificial intelligence in subway indoor air quality prediction and control;Process Safety and Environmental Protection;2023-10

4. A novel deep learning framework with variational auto-encoder for indoor air quality prediction;Frontiers of Environmental Science & Engineering;2023-08-20

5. Inhalation of subway fine particles induces murine extrapulmonary organs damage;Science of The Total Environment;2023-06

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