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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

113 related items for PubMed ID: 38615837

  • 21.
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  • 23. Estimating monthly PM2.5 concentrations from satellite remote sensing data, meteorological variables, and land use data using ensemble statistical modeling and a random forest approach.
    Chen CC, Wang YR, Yeh HY, Lin TH, Huang CS, Wu CF.
    Environ Pollut; 2021 Dec 15; 291():118159. PubMed ID: 34543952
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  • 25. Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion.
    Batterman S, Berrocal VJ, Milando C, Gilani O, Arunachalam S, Zhang KM.
    Res Rep Health Eff Inst; 2020 Mar 15; 2020(202):1-63. PubMed ID: 32239871
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  • 26. Commuter types identified using clustering and their associations with source-specific PM2.5.
    Krall JR, Moore KD, Joannidis C, Lee YC, Pollack AZ, McCombs M, Thornburg J, Balachandran S.
    Environ Res; 2021 Sep 15; 200():111419. PubMed ID: 34087193
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  • 27. Spatial and Temporal Variation of Atmospheric Particulate Matter in Bangalore: A Technology-Intensive Region in India.
    Devaraj S, Tiwari S, Ramaraju HK, Dumka UC, Sateesh M, Parmita P, Shivashankara GP.
    Arch Environ Contam Toxicol; 2019 Aug 15; 77(2):214-222. PubMed ID: 31168647
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  • 29. Quantifying source contributions to ambient NH3 using Geo-AI with time lag and parcel tracking functions.
    Wu CD, Zhu JJ, Hsu CY, Shie RH.
    Environ Int; 2024 Mar 15; 185():108520. PubMed ID: 38412565
    [Abstract] [Full Text] [Related]

  • 30. Estimating ground-level PM2.5 levels in Taiwan using data from air quality monitoring stations and high coverage of microsensors.
    Ho CC, Chen LJ, Hwang JS.
    Environ Pollut; 2020 Sep 15; 264():114810. PubMed ID: 32559863
    [Abstract] [Full Text] [Related]

  • 31. Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke.
    Li L, Girguis M, Lurmann F, Pavlovic N, McClure C, Franklin M, Wu J, Oman LD, Breton C, Gilliland F, Habre R.
    Environ Int; 2020 Dec 15; 145():106143. PubMed ID: 32980736
    [Abstract] [Full Text] [Related]

  • 32. Seasonal prediction of daily PM2.5 concentrations with interpretable machine learning: a case study of Beijing, China.
    Wu Y, Lin S, Shi K, Ye Z, Fang Y.
    Environ Sci Pollut Res Int; 2022 Jun 15; 29(30):45821-45836. PubMed ID: 35150424
    [Abstract] [Full Text] [Related]

  • 33. Development of Hourly Indoor PM2.5 Concentration Prediction Model: The Role of Outdoor Air, Ventilation, Building Characteristic, and Human Activity.
    Jung CC, Lin WY, Hsu NY, Wu CD, Chang HT, Su HJ.
    Int J Environ Res Public Health; 2020 Aug 14; 17(16):. PubMed ID: 32823930
    [Abstract] [Full Text] [Related]

  • 34. The impact of the congestion charging scheme on air quality in London. Part 1. Emissions modeling and analysis of air pollution measurements.
    Kelly F, Anderson HR, Armstrong B, Atkinson R, Barratt B, Beevers S, Derwent D, Green D, Mudway I, Wilkinson P, HEI Health Review Committee.
    Res Rep Health Eff Inst; 2011 Apr 14; (155):5-71. PubMed ID: 21830496
    [Abstract] [Full Text] [Related]

  • 35. A Two-Stage Method to Estimate the Contribution of Road Traffic to PM₂.₅ Concentrations in Beijing, China.
    Fang X, Li R, Xu Q, Bottai M, Fang F, Cao Y.
    Int J Environ Res Public Health; 2016 Jan 13; 13(1):. PubMed ID: 26771629
    [Abstract] [Full Text] [Related]

  • 36. Air quality warning system based on a localized PM2.5 soft sensor using a novel approach of Bayesian regularized neural network via forward feature selection.
    Balram D, Lian KY, Sebastian N.
    Ecotoxicol Environ Saf; 2019 Oct 30; 182():109386. PubMed ID: 31255868
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  • 37.
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  • 38. Effects of commuting mode on air pollution exposure and cardiovascular health among young adults in Taipei, Taiwan.
    Liu WT, Ma CM, Liu IJ, Han BC, Chuang HC, Chuang KJ.
    Int J Hyg Environ Health; 2015 May 30; 218(3):319-23. PubMed ID: 25638696
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