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 *

125 related articles for article (PubMed ID: 23948563)

  • 1. Controllability analysis as a pre-selection method for sensor placement in water distribution systems.
    Diao K; Rauch W
    Water Res; 2013 Oct; 47(16):6097-108. PubMed ID: 23948563
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimal sensor placement for detecting organophosphate intrusions into water distribution systems.
    Ohar Z; Lahav O; Ostfeld A
    Water Res; 2015 Apr; 73():193-203. PubMed ID: 25662513
    [TBL] [Abstract][Full Text] [Related]  

  • 3. In-pipe water quality monitoring in water supply systems under steady and unsteady state flow conditions: a quantitative assessment.
    Aisopou A; Stoianov I; Graham NJ
    Water Res; 2012 Jan; 46(1):235-46. PubMed ID: 22094001
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An efficient multi-objective optimization method for water quality sensor placement within water distribution systems considering contamination probability variations.
    He G; Zhang T; Zheng F; Zhang Q
    Water Res; 2018 Oct; 143():165-175. PubMed ID: 29945032
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Contamination event detection using multiple types of conventional water quality sensors in source water.
    Liu S; Che H; Smith K; Chen L
    Environ Sci Process Impacts; 2014 Aug; 16(8):2028-38. PubMed ID: 24953418
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A coupled classification - evolutionary optimization model for contamination event detection in water distribution systems.
    Oliker N; Ostfeld A
    Water Res; 2014 Mar; 51():234-45. PubMed ID: 24268294
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Efficient k-means clustering and greedy selection-based reduction of nodal search space for optimization of sensor placement in the water distribution networks.
    Gautam DK; Kotecha P; Subbiah S
    Water Res; 2022 Jul; 220():118666. PubMed ID: 35709596
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Network hydraulics inclusion in water quality event detection using multiple sensor stations data.
    Oliker N; Ostfeld A
    Water Res; 2015 Sep; 80():47-58. PubMed ID: 25996752
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An integrated logit model for contamination event detection in water distribution systems.
    Housh M; Ostfeld A
    Water Res; 2015 May; 75():210-23. PubMed ID: 25770443
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A multivariate based event detection method and performance comparison with two baseline methods.
    Liu S; Smith K; Che H
    Water Res; 2015 Sep; 80():109-18. PubMed ID: 25996758
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessing the global resilience of water quality sensor placement strategies within water distribution systems.
    Zhang Q; Zheng F; Kapelan Z; Savic D; He G; Ma Y
    Water Res; 2020 Apr; 172():115527. PubMed ID: 32004913
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Operation of remote mobile sensors for security of drinking water distribution systems.
    Perelman BL; Ostfeld A
    Water Res; 2013 Sep; 47(13):4217-26. PubMed ID: 23764572
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrating fuzzy logic with Pearson correlation to optimize contaminant detection in water distribution system with uncertainty analyses.
    Osmani SA; Banik BK; Ali H
    Environ Monit Assess; 2019 Jun; 191(7):441. PubMed ID: 31203453
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Flaw of demand coverage based method for optimal locations of monitoring stations and modification].
    Liu SM; Li ZY; Chen JD; Wang Q; Meng FL
    Huan Jing Ke Xue; 2010 Jan; 31(1):88-92. PubMed ID: 20329521
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Locations of Sampling Stations for Water Quality Monitoring in Water Distribution Networks.
    Rathi S; Gupta R
    J Environ Sci Eng; 2014 Apr; 56(2):169-78. PubMed ID: 26563063
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Pollutant intrusion modeling in water distribution networks using artificial neural networks.
    Singh RM; Rahul AI
    J Environ Sci Eng; 2011 Jul; 53(3):245-56. PubMed ID: 23029924
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A potential approach for monitoring drinking water quality from groundwater systems using organic matter fluorescence as an early warning for contamination events.
    Stedmon CA; Seredyńska-Sobecka B; Boe-Hansen R; Le Tallec N; Waul CK; Arvin E
    Water Res; 2011 Nov; 45(18):6030-8. PubMed ID: 21943882
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An online water quality monitoring and management system developed for the Liming River basin in Daqing, China.
    Yang W; Nan J; Sun D
    J Environ Manage; 2008 Jul; 88(2):318-25. PubMed ID: 17462812
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Advanced monitoring of water systems using in situ measurement stations: data validation and fault detection.
    Alferes J; Tik S; Copp J; Vanrolleghem PA
    Water Sci Technol; 2013; 68(5):1022-30. PubMed ID: 24037152
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Why conventional detection methods fail in identifying the existence of contamination events.
    Liu S; Li R; Smith K; Che H
    Water Res; 2016 Apr; 93():222-229. PubMed ID: 26905801
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.