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

499 related items for PubMed ID: 35460477

  • 1. A study on water quality parameters estimation for urban rivers based on ground hyperspectral remote sensing technology.
    Hou Y, Zhang A, Lv R, Zhao S, Ma J, Zhang H, Li Z.
    Environ Sci Pollut Res Int; 2022 Sep; 29(42):63640-63654. PubMed ID: 35460477
    [Abstract] [Full Text] [Related]

  • 2. Machine learning algorithm inversion experiment and pollution analysis of water quality parameters in urban small and medium-sized rivers based on UAV multispectral data.
    Hou Y, Zhang A, Lv R, Zhang Y, Ma J, Li T.
    Environ Sci Pollut Res Int; 2023 Jul; 30(32):78913-78932. PubMed ID: 37278900
    [Abstract] [Full Text] [Related]

  • 3.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 4. Spectro-environmental factors integrated ensemble learning for urban river network water quality remote sensing.
    Zhou X, Liu C, Carrion D, Akbar A, Wang H.
    Water Res; 2024 Dec 01; 267():122544. PubMed ID: 39383645
    [Abstract] [Full Text] [Related]

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

  • 6. Monitor water quality through retrieving water quality parameters from hyperspectral images using graph convolution network with superposition of multi-point effect: A case study in Maozhou River.
    Zhang Y, Kong X, Deng L, Liu Y.
    J Environ Manage; 2023 Sep 15; 342():118283. PubMed ID: 37290307
    [Abstract] [Full Text] [Related]

  • 7. Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery.
    Niu C, Tan K, Jia X, Wang X.
    Environ Pollut; 2021 Oct 01; 286():117534. PubMed ID: 34119861
    [Abstract] [Full Text] [Related]

  • 8. Research progress of inland river water quality monitoring technology based on unmanned aerial vehicle hyperspectral imaging technology.
    Bai X, Wang J, Chen R, Kang Y, Ding Y, Lv Z, Ding D, Feng H.
    Environ Res; 2024 Sep 15; 257():119254. PubMed ID: 38815715
    [Abstract] [Full Text] [Related]

  • 9. Monitoring water quality using proximal remote sensing technology.
    Sun X, Zhang Y, Shi K, Zhang Y, Li N, Wang W, Huang X, Qin B.
    Sci Total Environ; 2022 Jan 10; 803():149805. PubMed ID: 34492494
    [Abstract] [Full Text] [Related]

  • 10.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 11. Application of Multivariate Statistical Techniques and Water Quality Index for the Assessment of Water Quality and Apportionment of Pollution Sources in the Yeongsan River, South Korea.
    Mamun M, An KG.
    Int J Environ Res Public Health; 2021 Aug 04; 18(16):. PubMed ID: 34444013
    [Abstract] [Full Text] [Related]

  • 12.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

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

  • 14. Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA.
    Xing Z, Chen J, Zhao X, Li Y, Li X, Zhang Z, Lao C, Wang H.
    PeerJ; 2019 Aug 04; 7():e8255. PubMed ID: 31844597
    [Abstract] [Full Text] [Related]

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

  • 16. [Relationship Between Agricultural Land and Water Quality of Inflow River in Erhai Lake Basin].
    Pang Y, Xiang S, Chu ZS, Xue LQ, Ye BB.
    Huan Jing Ke Xue; 2015 Nov 04; 36(11):4005-12. PubMed ID: 26910984
    [Abstract] [Full Text] [Related]

  • 17. Large-scale prediction of stream water quality using an interpretable deep learning approach.
    Zheng H, Liu Y, Wan W, Zhao J, Xie G.
    J Environ Manage; 2023 Apr 01; 331():117309. PubMed ID: 36657204
    [Abstract] [Full Text] [Related]

  • 18.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 19. Prediction of BOD, COD, and total nitrogen concentrations in a typical urban river using a fluorescence excitation-emission matrix with PARAFAC and UV absorption indices.
    Hur J, Cho J.
    Sensors (Basel); 2012 Apr 01; 12(1):972-86. PubMed ID: 22368505
    [Abstract] [Full Text] [Related]

  • 20. Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin.
    Sakaa B, Elbeltagi A, Boudibi S, Chaffaï H, Islam ARMT, Kulimushi LC, Choudhari P, Hani A, Brouziyne Y, Wong YJ.
    Environ Sci Pollut Res Int; 2022 Jul 01; 29(32):48491-48508. PubMed ID: 35192167
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 25.