Chemometrics and Intelligent Laboratory Systemsжурнал

Статьи, опубликованные в журнале

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  • 2020 Albatross R package to study PARAFAC components of DOM fluorescence from mixing zones of arctic shelf seas
  • Krylov Ivan N., Drozdova Anastasia N., Labutin Timur A.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 207 DOI
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  • 2020 Various aspects of retention index usage for GC-MS library search: A statistical investigation using a diverse data set
  • Matyushin Dmitriy D., Sholokhova Anastasia Yu, Karnaeva Anastasia E., Buryak Aleksey K.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 202, с. 104042 DOI
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  • 2018 Comparison of integration rules in the case of very narrow chromatographic peaks
  • Kalambet Y., Kozmin Y., Samokhin A.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 179, с. 22-30 DOI
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  • 2018 Confocal Raman spectroscopy and multivariate data analysis for evaluation of spermatozoa with normal and abnormal morphology. A feasibility study
  • Nazarenko R.V., Irzhak A.V., Pomerantsev A.L., Rodionova O.Ye
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 182, с. 172-179 DOI
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  • 2017 An entropy based approach to estimation of analytical information. A hypothesis
  • Apyari V.V.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 168, с. 38-44 DOI
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  • 2016 Improved classification of fused data: Synergetic effect of partial least squares discriminant analysis (PLS-DA) and common components and specific weights analysis (CCSWA) combination as applied to tomato profiles (NMR, IR and IRMS)
  • Monakhova Yulia B., Hohmann Monika, Christoph Norbert, Wachter Helmut, Rutledge Douglas N.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 156, с. 1-6 DOI
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  • 2016 Machine learning for LC-MS medicinal plants identification
  • Nazarenko D.V., Kharyuk P.V., Oseledets I.V., Rodin I.A., Shpigun O.A.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 156, с. 174-180 DOI
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  • 2016 Voltammetry: Mathematical modelling and Inverse Problem
  • Koshev Nikolay, Koshev Alexander, Kuzina Valentina
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 157, с. 78-84 DOI
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  • 2015 Stress test procedure for feature selection algorithms
  • Katrutsa A.M., Strijov V.V.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 142, с. 172-183 DOI
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  • 2013 Scatter-based quantitative spectroscopic analysis of milk fat and total protein in the region 400–1100nm in the presence of fat globule size variability
  • Bogomolov A., Melenteva A.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 126, с. 129-139
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  • 2011 Multivariate process trajectories: capture, resolution and analysis
  • Bogomolov Andrey
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 108, № 1, с. 49-63 DOI
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  • 2008 Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra
  • Balabin R.M., Safieva R.Z., Lomakina E.I.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 93, № 1, с. 58-62 DOI
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  • 2007 Application of SIMPLISMA purity function for variable selection in multivariate regression analysis: A case study of protein secondary structure determination from infrared spectra
  • Bogomolov Andrey, Hachey Michel
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 88, № 1, с. 132-142 DOI
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  • 2007 Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction
  • Balabin R.M., Safieva R.Z., Lomakina E.I.
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 88, № 2, с. 183-188 DOI
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  • 2007 New system for computer-aided infrared and Raman spectrum interpretation
  • Karpushkin Eugene, Bogomolov Andrey, Zhukov Yury, Boruta Michael
  • в журнале Chemometrics and Intelligent Laboratory Systems, издательство Elsevier BV (Netherlands), том 88, № 1, с. 107-117 DOI