180 related articles for article (PubMed ID: 28758941)
1. Quick Estimation Model for the Concentration of Indoor Airborne Culturable Bacteria: An Application of Machine Learning.
Liu Z; Li H; Cao G
Int J Environ Res Public Health; 2017 Jul; 14(8):. PubMed ID: 28758941
[TBL] [Abstract][Full Text] [Related]
2. Exploring the potential relationship between indoor air quality and the concentration of airborne culturable fungi: a combined experimental and neural network modeling study.
Liu Z; Cheng K; Li H; Cao G; Wu D; Shi Y
Environ Sci Pollut Res Int; 2018 Feb; 25(4):3510-3517. PubMed ID: 29159437
[TBL] [Abstract][Full Text] [Related]
3. [Concentration and Size Distribution of Bioaerosols in Indoor Environment of University Dormitory During the Plum Rain Period].
Liu T; Li L; Zhang JQ; Zhan CL; Liu HX; Zheng JR; Yao RZ; Cao JJ
Huan Jing Ke Xue; 2016 Apr; 37(4):1256-63. PubMed ID: 27548944
[TBL] [Abstract][Full Text] [Related]
4. Household indoor air quality and its associations with childhood asthma in Shanghai, China: On-site inspected methods and preliminary results.
Huang C; Wang X; Liu W; Cai J; Shen L; Zou Z; Lu R; Chang J; Wei X; Sun C; Zhao Z; Sun Y; Sundell J
Environ Res; 2016 Nov; 151():154-167. PubMed ID: 27479712
[TBL] [Abstract][Full Text] [Related]
5. Indoor Air Quality in the Metro System in North Taiwan.
Chen YY; Sung FC; Chen ML; Mao IF; Lu CY
Int J Environ Res Public Health; 2016 Dec; 13(12):. PubMed ID: 27918460
[TBL] [Abstract][Full Text] [Related]
6. [Primary research on indoor air concentration of particulate matter in residential house and its relationship with ambient pollution level].
Zhang Y; Li XY; Jiang LJ; Wei JR; Sheng X; Liu Y; Guo X
Wei Sheng Yan Jiu; 2005 Jul; 34(4):407-9. PubMed ID: 16229259
[TBL] [Abstract][Full Text] [Related]
7. Assessment of ventilation and indoor air pollutants in nursery and elementary schools in France.
Canha N; Mandin C; Ramalho O; Wyart G; Ribéron J; Dassonville C; Hänninen O; Almeida SM; Derbez M
Indoor Air; 2016 Jun; 26(3):350-65. PubMed ID: 25955661
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of PM
Hwang SH; Roh J; Park WM
Environ Pollut; 2018 Nov; 242(Pt A):700-708. PubMed ID: 30029169
[TBL] [Abstract][Full Text] [Related]
9. Evaluating heterogeneity in indoor and outdoor air pollution using land-use regression and constrained factor analysis.
Levy JI; Clougherty JE; Baxter LK; Houseman EA; Paciorek CJ;
Res Rep Health Eff Inst; 2010 Dec; (152):5-80; discussion 81-91. PubMed ID: 21409949
[TBL] [Abstract][Full Text] [Related]
10. Machine learning and statistical models for predicting indoor air quality.
Wei W; Ramalho O; Malingre L; Sivanantham S; Little JC; Mandin C
Indoor Air; 2019 Sep; 29(5):704-726. PubMed ID: 31220370
[TBL] [Abstract][Full Text] [Related]
11. A practical framework for predicting residential indoor PM
Li Z; Tong X; Ho JMW; Kwok TCY; Dong G; Ho KF; Yim SHL
Chemosphere; 2021 Feb; 265():129140. PubMed ID: 33310317
[TBL] [Abstract][Full Text] [Related]
12. Environmental assessment of three egg production systems - Part III: Airborne bacteria concentrations and emissions.
Zhao Y; Zhao D; Ma H; Liu K; Atilgan A; Xin H
Poult Sci; 2016 Jul; 95(7):1473-1481. PubMed ID: 26994201
[TBL] [Abstract][Full Text] [Related]
13. Indoor air quality in Portuguese schools: levels and sources of pollutants.
Madureira J; Paciência I; Pereira C; Teixeira JP; Fernandes Ede O
Indoor Air; 2016 Aug; 26(4):526-37. PubMed ID: 26182845
[TBL] [Abstract][Full Text] [Related]
14. Predictors and respiratory depositions of airborne endotoxin in homes using biomass fuels and LPG gas for cooking.
Padhi BK; Adhikari A; Satapathy P; Patra AK; Chandel D; Panigrahi P
J Expo Sci Environ Epidemiol; 2017 Jan; 27(1):112-117. PubMed ID: 26956936
[TBL] [Abstract][Full Text] [Related]
15. Predicting the concentration of indoor culturable fungi using a kernel-based extreme learning machine (K-ELM).
Liu Z; Ma S; Wu L; Yin H; Cao G
Int J Environ Health Res; 2020 Jun; 30(3):344-356. PubMed ID: 31030541
[TBL] [Abstract][Full Text] [Related]
16. Residential airborne culturable fungi under general living scenario: On-site investigation in 12 typical cities, China.
Fan L; Wang J; Yang Y; Yang W; Zhu Y; Zhang Y; Li L; Li X; Yan X; Yao X; Wang L; Wang X
Environ Int; 2021 Oct; 155():106669. PubMed ID: 34102580
[TBL] [Abstract][Full Text] [Related]
17. Indoor air quality improvement with filtration and UV-C on mitigation of particulate matter and airborne bacteria: Monitoring and modeling.
Li P; Koziel JA; Paris RV; Macedo N; Zimmerman JJ; Wrzesinski D; Sobotka E; Balderas M; Walz WB; Liu D; Yedilbayev B; Ramirez BC; Jenks WS
J Environ Manage; 2024 Feb; 351():119764. PubMed ID: 38100867
[TBL] [Abstract][Full Text] [Related]
18. Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks.
Loy-Benitez J; Vilela P; Li Q; Yoo C
Ecotoxicol Environ Saf; 2019 Mar; 169():316-324. PubMed ID: 30458398
[TBL] [Abstract][Full Text] [Related]
19. Influences of ambient air PM₂.₅ concentration and meteorological condition on the indoor PM₂.₅ concentrations in a residential apartment in Beijing using a new approach.
Han Y; Qi M; Chen Y; Shen H; Liu J; Huang Y; Chen H; Liu W; Wang X; Liu J; Xing B; Tao S
Environ Pollut; 2015 Oct; 205():307-14. PubMed ID: 26123719
[TBL] [Abstract][Full Text] [Related]
20. Controlling Indoor Air Pollution from Moxibustion.
Lu CY; Kang SY; Liu SH; Mai CW; Tseng CH
Int J Environ Res Public Health; 2016 Jun; 13(6):. PubMed ID: 27331817
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]