These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

75 related articles for article (PubMed ID: 15144791)

  • 1. A new method of ozone forecasting using fuzzy expert and neural network systems.
    Heo JS; Kim DS
    Sci Total Environ; 2004 Jun; 325(1-3):221-37. PubMed ID: 15144791
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of maximum daily ozone level using combined neural network and statistical characteristics.
    Wang W; Lu W; Wang X; Leung AY
    Environ Int; 2003 Aug; 29(5):555-62. PubMed ID: 12742398
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Forecasting of ozone episode days by cost-sensitive neural network methods.
    Tsai CH; Chang LC; Chiang HC
    Sci Total Environ; 2009 Mar; 407(6):2124-35. PubMed ID: 19157520
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative assessment of neural networks and regression models for forecasting summertime ozone in Athens.
    Chaloulakou A; Saisana M; Spyrellis N
    Sci Total Environ; 2003 Sep; 313(1-3):1-13. PubMed ID: 12922056
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of the Mesoscale Meteorological Model (MM5)-Community Multi-Scale Air Quality Model (CMAQ) performance in hindcast and forecast of ground-level ozone.
    Nghiem le H; Kim Oanh NT
    J Air Waste Manag Assoc; 2008 Oct; 58(10):1341-50. PubMed ID: 18939781
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of ozone concentrations in Oporto city with statistical approaches.
    Sousa SI; Martins FG; Pereira MC; Alvim-Ferraz MC
    Chemosphere; 2006 Aug; 64(7):1141-9. PubMed ID: 16405949
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improving of local ozone forecasting by integrated models.
    Gradišar D; Grašič B; Božnar MZ; Mlakar P; Kocijan J
    Environ Sci Pollut Res Int; 2016 Sep; 23(18):18439-50. PubMed ID: 27287489
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong.
    Lu WZ; Wang WJ; Wang XK; Yan SH; Lam JC
    Environ Res; 2004 Sep; 96(1):79-87. PubMed ID: 15261787
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Study on meteorological factors-based neural network model of malaria].
    Gao CY; Xiong HY; Yi D; Chai GJ; Yang XW; Liu L
    Zhonghua Liu Xing Bing Xue Za Zhi; 2003 Sep; 24(9):831-4. PubMed ID: 14521780
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Forecasting daily patient volumes in the emergency department.
    Jones SS; Thomas A; Evans RS; Welch SJ; Haug PJ; Snow GL
    Acad Emerg Med; 2008 Feb; 15(2):159-70. PubMed ID: 18275446
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stochastic model to forecast ground-level ozone concentration at urban and rural areas.
    Dueñas C; Fernández MC; Cañete S; Carretero J; Liger E
    Chemosphere; 2005 Dec; 61(10):1379-89. PubMed ID: 15975626
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The exceedance patterns of air quality criteria: a case study of ozone and nitrogen dioxide in Seoul, Korea between 1990 and 2000.
    Kim KH; Choi YJ; Kim MY
    Chemosphere; 2005 Jul; 60(4):441-52. PubMed ID: 15950036
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Forecasting of daily total atmospheric ozone in Isfahan.
    Yazdanpanah H; Karimi M; Hejazizadeh Z
    Environ Monit Assess; 2009 Oct; 157(1-4):235-41. PubMed ID: 18843548
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Urban meteorological modelling for nuclear emergency preparedness.
    Baklanov A; Sørensen JH; Hoe SC; Amstrup B
    J Environ Radioact; 2006; 85(2-3):154-70. PubMed ID: 16157431
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An online air pollution forecasting system using neural networks.
    Kurt A; Gulbagci B; Karaca F; Alagha O
    Environ Int; 2008 Jul; 34(5):592-8. PubMed ID: 18237781
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The influence of improved air quality on mortality risks in Erfurt, Germany.
    Peters A; Breitner S; Cyrys J; Stölzel M; Pitz M; Wölke G; Heinrich J; Kreyling W; Küchenhoff H; Wichmann HE
    Res Rep Health Eff Inst; 2009 Feb; (137):5-77; discussion 79-90. PubMed ID: 19554968
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adaptive neuro-fuzzy based modelling for prediction of air pollution daily levels in city of Zonguldak.
    Yildirim Y; Bayramoglu M
    Chemosphere; 2006 Jun; 63(9):1575-82. PubMed ID: 16310825
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Constructing a 7-day ahead forecast model for grass pollen at north London, United Kingdom.
    Smith M; Emberlin J
    Clin Exp Allergy; 2005 Oct; 35(10):1400-6. PubMed ID: 16238802
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Vertical ozone distributions observed using tethered ozonesondes in a coastal industrial city, Kaohsiung, in southern Taiwan.
    Lin CH; Lai CH; Wu YL; Lai HC; Lin PH
    Environ Monit Assess; 2007 Apr; 127(1-3):253-70. PubMed ID: 16927191
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Urban air pollution forecasting with respect to SPM using time series neural networks modelling approach--a case study in Coimbatore City.
    Meenakshi P; Saseetharan MK
    J Environ Sci Eng; 2004 Apr; 46(2):92-101. PubMed ID: 16649599
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.