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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

110 related items for PubMed ID: 34900287

  • 1. Prediction of the optimal dosage of coagulants in water treatment plants through developing models based on artificial neural network fuzzy inference system (ANFIS).
    Narges S, Ghorban A, Hassan K, Mohammad K.
    J Environ Health Sci Eng; 2021 Dec; 19(2):1543-1553. PubMed ID: 34900287
    [Abstract] [Full Text] [Related]

  • 2. ANFIS-based modelling for coagulant dosage in drinking water treatment plant: a case study.
    Heddam S, Bermad A, Dechemi N.
    Environ Monit Assess; 2012 Apr; 184(4):1953-71. PubMed ID: 21562791
    [Abstract] [Full Text] [Related]

  • 3. Prediction of coagulation and flocculation processes using ANN models and fuzzy regression.
    Zangooei H, Delnavaz M, Asadollahfardi G.
    Water Sci Technol; 2016 Sep; 74(6):1296-1311. PubMed ID: 27685960
    [Abstract] [Full Text] [Related]

  • 4. Predicting coagulation-flocculation process for turbidity removal from water using graphene oxide: a comparative study on ANN, SVR, ANFIS, and RSM models.
    Ghasemi M, Hasani Zonoozi M, Rezania N, Saadatpour M.
    Environ Sci Pollut Res Int; 2022 Oct; 29(48):72839-72852. PubMed ID: 35616836
    [Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. [Turbidity removal of summer high algae content Taihu Lake raw water using composite coagulants of polyaluminum chloride and polydimethyldiallylammonium chloride].
    Zhang YJ, Li XX, Zhao XL, Sun B, Zhang QQ.
    Huan Jing Ke Xue; 2008 Aug; 29(8):2195-200. PubMed ID: 18839572
    [Abstract] [Full Text] [Related]

  • 7.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 8.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 9. Modeling hourly dissolved oxygen concentration (DO) using two different adaptive neuro-fuzzy inference systems (ANFIS): a comparative study.
    Heddam S.
    Environ Monit Assess; 2014 Jan; 186(1):597-619. PubMed ID: 24057665
    [Abstract] [Full Text] [Related]

  • 10. Evaluating Al-based coagulants for drinking water facilities using Jar test and CCD/RSM analysis.
    Holloway N, Wu S, Zhu J.
    J Environ Sci Health A Tox Hazard Subst Environ Eng; 2022 Jan; 57(13-14):1138-1145. PubMed ID: 36583246
    [Abstract] [Full Text] [Related]

  • 11. Chemical coagulation of greywater: modelling using artificial neural networks.
    Vinitha EV, Mansoor Ahammed M, Gadekar MR.
    Water Sci Technol; 2018 Jul; 2017(3):869-877. PubMed ID: 30016304
    [Abstract] [Full Text] [Related]

  • 12. Comparison of coagulation performance and floc properties of a novel zirconium-glycine complex coagulant with traditional coagulants.
    Zhang Z, Wu C, Wu Y, Hu C.
    Environ Sci Pollut Res Int; 2014 May; 21(10):6632-9. PubMed ID: 24499988
    [Abstract] [Full Text] [Related]

  • 13.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 14. Enhanced coagulation for high alkalinity and micro-polluted water: the third way through coagulant optimization.
    Yan M, Wang D, Qu J, Ni J, Chow CW.
    Water Res; 2008 Apr; 42(8-9):2278-86. PubMed ID: 18206207
    [Abstract] [Full Text] [Related]

  • 15.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17. Artificial neural network modeling of dissolved oxygen in reservoir.
    Chen WB, Liu WC.
    Environ Monit Assess; 2014 Feb; 186(2):1203-17. PubMed ID: 24078053
    [Abstract] [Full Text] [Related]

  • 18. Experimental and artificial intelligence optimization of paint wastewater (PWW) coagulation using novel Phaseolus vulgaris seed extract (PVSE).
    Ejimofor MI, Ohale PE, Aniagor CO, Onu CE, Menkiti MC, Ezemagu GI, Chukwu MM.
    Heliyon; 2024 Jul 30; 10(14):e34229. PubMed ID: 39108923
    [Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. Comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes.
    Luo W, Zhu S, Wu S, Dai J.
    Environ Sci Pollut Res Int; 2019 Oct 30; 26(29):30524-30532. PubMed ID: 31482526
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 6.