BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 12598184)

  • 1. Evolutionary self-organising modelling of a municipal wastewater treatment plant.
    Hong YS; Bhamidimarri R
    Water Res; 2003 Mar; 37(6):1199-212. PubMed ID: 12598184
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sequential modeling of fecal coliform removals in a full-scale activated-sludge wastewater treatment plant using an evolutionary process model induction system.
    Suh CW; Lee JW; Hong YS; Shin HS
    Water Res; 2009 Jan; 43(1):137-47. PubMed ID: 18930305
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis.
    Hong YS; Rosen MR; Bhamidimarri R
    Water Res; 2003 Apr; 37(7):1608-18. PubMed ID: 12600389
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial neural network modelling of a large-scale wastewater treatment plant operation.
    Güçlü D; Dursun S
    Bioprocess Biosyst Eng; 2010 Nov; 33(9):1051-8. PubMed ID: 20445993
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance.
    Mjalli FS; Al-Asheh S; Alfadala HE
    J Environ Manage; 2007 May; 83(3):329-38. PubMed ID: 16806660
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of sewer on-line total solids data in wastewater treatment plant modelling.
    Poutiainen H; Niska H; Heinonen-Tanski H; Kolehmainen M
    Water Sci Technol; 2010; 62(4):743-50. PubMed ID: 20729574
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hybrid modelling of anaerobic wastewater treatment processes.
    Karama A; Bernard O; Genovesi A; Dochain D; Benhammou A; Steyer JP
    Water Sci Technol; 2001; 43(1):43-50. PubMed ID: 11379111
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of modelling for optimization and upgrade of a tropical wastewater treatment plant in a developing country.
    Brdjanovic D; Mithaiwala M; Moussa MS; Amy G; van Loosdrecht MC
    Water Sci Technol; 2007; 56(7):21-31. PubMed ID: 17951864
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modelling of COD removal in a biological wastewater treatment plant using adaptive neuro-fuzzy inference system and artificial neural network.
    Civelekoglu G; Yigit NO; Diamadopoulos E; Kitis M
    Water Sci Technol; 2009; 60(6):1475-87. PubMed ID: 19759450
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Use of surrogate modelling for multiobjective optimisation of urban wastewater systems.
    Fu G; Khu ST; Butler D
    Water Sci Technol; 2009; 60(6):1641-7. PubMed ID: 19759467
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hybrid neural network modeling of a full-scale industrial wastewater treatment process.
    Lee DS; Jeon CO; Park JM; Chang KS
    Biotechnol Bioeng; 2002 Jun; 78(6):670-82. PubMed ID: 11992532
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sequential modelling of a full-scale wastewater treatment plant using an artificial neural network.
    Lee JW; Suh C; Hong YS; Shin HS
    Bioprocess Biosyst Eng; 2011 Oct; 34(8):963-73. PubMed ID: 21533792
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An implementation framework for wastewater treatment models requiring a minimum programming expertise.
    Rodríguez J; Premier GC; Dinsdale R; Guwy AJ
    Water Sci Technol; 2009; 59(2):367-80. PubMed ID: 19182350
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Model-based evaluation of nitrogen removal in a tannery wastewater treatment plant.
    Moussa MS; Rojas AR; Hooijmans CM; Gijzen HJ; van Loosdrecht MC
    Water Sci Technol; 2004; 50(6):251-60. PubMed ID: 15537014
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Experiences with computer simulation at two large wastewater treatment plants in northern Poland.
    Makinia J; Swinarski M; Dobiegala E
    Water Sci Technol; 2002; 45(6):209-18. PubMed ID: 11989873
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Validation and implementation of model based control strategies at an industrial wastewater treatment plant.
    Demey D; Vanderhaegen B; Vanhooren H; Liessens J; Van Eyck L; Hopkins L; Vanrolleghem PA
    Water Sci Technol; 2001; 44(2-3):145-53. PubMed ID: 11547977
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Parameter optimisation of real-time control strategies for urban wastewater systems.
    Schütze M; Butler D; Beck MB
    Water Sci Technol; 2001; 43(7):139-46. PubMed ID: 11385840
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A practitioner's perspective on the uses and future developments for wastewater treatment modelling.
    Daigger GT
    Water Sci Technol; 2011; 63(3):516-26. PubMed ID: 21278475
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A neural network approach for on-line fault detection of nitrogen sensors in alternated active sludge treatment plants.
    Caccavale F; Digiulio P; Iamarino M; Masi S; Pierri F
    Water Sci Technol; 2010; 62(12):2760-8. PubMed ID: 21123904
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A systematic approach to data-driven modeling and soft sensing in a full-scale plant.
    Kim MH; Kim YS; Prabu AA; Yoo CK
    Water Sci Technol; 2009; 60(2):363-70. PubMed ID: 19633378
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.