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 *

173 related articles for article (PubMed ID: 30594866)

  • 21. Regional Inversion of Soil Heavy Metal Cr Content in Agricultural Land Using Zhuhai-1 Hyperspectral Images.
    Guo H; Yang K; Wu F; Chen Y; Shen J
    Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960456
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
    Gholivand MB; Jalalvand AR; Goicoechea HC; Skov T
    Talanta; 2014 Feb; 119():553-63. PubMed ID: 24401455
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Spectral Estimation Model Construction of Heavy Metals in Mining Reclamation Areas.
    Dong J; Dai W; Xu J; Li S
    Int J Environ Res Public Health; 2016 Jun; 13(7):. PubMed ID: 27367708
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Hyperspectral analysis of soil organic matter in coal mining regions using wavelets, correlations, and partial least squares regression.
    Lin L; Wang Y; Teng J; Wang X
    Environ Monit Assess; 2016 Feb; 188(2):97. PubMed ID: 26780416
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Concentration estimation of heavy metal in soils from typical sewage irrigation area of Shandong Province, China using reflectance spectroscopy.
    Wang F; Li C; Wang J; Cao W; Wu Q
    Environ Sci Pollut Res Int; 2017 Jul; 24(20):16883-16892. PubMed ID: 28573565
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Hyperspectral inversion of mercury in reed leaves under different levels of soil mercury contamination.
    Liu W; Li M; Zhang M; Long S; Guo Z; Wang H; Li W; Wang D; Hu Y; Wei Y; Yang S
    Environ Sci Pollut Res Int; 2020 Jun; 27(18):22935-22945. PubMed ID: 32329007
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Study on the prediction of soil heavy metal elements content based on visible near-infrared spectroscopy.
    Liu J; Zhang Y; Wang H; Du Y
    Spectrochim Acta A Mol Biomol Spectrosc; 2018 Jun; 199():43-49. PubMed ID: 29562213
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Estimating low concentration heavy metals in water through hyperspectral analysis and genetic algorithm-partial least squares regression.
    Lin Y; Gao J; Tu Y; Zhang Y; Gao J
    Sci Total Environ; 2024 Mar; 916():170225. PubMed ID: 38246365
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Inversion of heavy metal content in soil using hyperspectral characteristic bands-based machine learning method.
    Zou Z; Wang Q; Wu Q; Li M; Zhen J; Yuan D; Zhou M; Xu C; Wang Y; Zhao Y; Yin S; Xu L
    J Environ Manage; 2024 Mar; 355():120503. PubMed ID: 38457894
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Non-destructive Detection of Fatty Acid Content of Camellia Seed Based on Hyperspectral.
    Yang X; Jiang P; Luo Y; Shi Y
    J Oleo Sci; 2023 Jan; 72(1):69-77. PubMed ID: 36504187
    [TBL] [Abstract][Full Text] [Related]  

  • 31. [Inversion of organic matter content of the north fluvo-aquic soil based on hyperspectral and multi-spectra].
    Wang YC; Gu XH; Zhu JS; Long HL; Xu P; Liao QH
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Jan; 34(1):201-6. PubMed ID: 24783561
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Inversion of soil water and salt information based on UAV hyperspectral remote sensing and machine lear-ning.
    Wang YJ; Ding QD; Zhang JH; Chen R; Jia K; Li XL
    Ying Yong Sheng Tai Xue Bao; 2023 Nov; 34(11):3045-3052. PubMed ID: 37997416
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Predicting cadmium concentration in soils using laboratory and field reflectance spectroscopy.
    Zhang X; Sun W; Cen Y; Zhang L; Wang N
    Sci Total Environ; 2019 Feb; 650(Pt 1):321-334. PubMed ID: 30199678
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Estimating soil organic carbon content with visible-near-infrared (vis-NIR) spectroscopy.
    Gao Y; Cui L; Lei B; Zhai Y; Shi T; Wang J; Chen Y; He H; Wu G
    Appl Spectrosc; 2014; 68(7):712-22. PubMed ID: 25014837
    [TBL] [Abstract][Full Text] [Related]  

  • 35. [Estimation of organic matter content of north fluvo-aquic soil based on the coupling model of wavelet transform and partial least squares].
    Wang YC; Yang GJ; Zhu JS; Gu XH; Xu P; Liao QH
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Jul; 34(7):1922-6. PubMed ID: 25269309
    [TBL] [Abstract][Full Text] [Related]  

  • 36. [Analysis and modeling of hyperspectral singularity in rice under Cd pollution].
    Xiu LN; Liu XN; Liu ML
    Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Jan; 31(1):192-6. PubMed ID: 21428086
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Hyperspectral characterization and chlorophyll content inversion of reclaimed vegetation in rare earth mines.
    Li H; Zhou B; Xu F; Wei Z
    Environ Sci Pollut Res Int; 2022 May; 29(24):36839-36853. PubMed ID: 35064880
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Hyperspectral Characteristic Band Selection and Estimation Content of Soil Petroleum Hydrocarbon Based on GARF-PLSR.
    Shi P; Jiang Q; Li Z
    J Imaging; 2023 Apr; 9(4):. PubMed ID: 37103238
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Estimation of Arsenic Content in Soil Based on Laboratory and Field Reflectance Spectroscopy.
    Wei L; Yuan Z; Yu M; Huang C; Cao L
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31510072
    [No Abstract]   [Full Text] [Related]  

  • 40. Estimating lead and zinc concentrations in peri-urban agricultural soils through reflectance spectroscopy: Effects of fractional-order derivative and random forest.
    Hong Y; Shen R; Cheng H; Chen Y; Zhang Y; Liu Y; Zhou M; Yu L; Liu Y; Liu Y
    Sci Total Environ; 2019 Feb; 651(Pt 2):1969-1982. PubMed ID: 30321720
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.