Miniature spectrometer data analytics for food fraud
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[1] Shintaroh Ohashi,et al. Application of the radial basis function neural networks to improve the nondestructive Vis/NIR spectrophotometric analysis of potassium in fresh lettuces , 2020, Journal of Food Engineering.
[2] Hassan Sadrnia,et al. Nondestructive classification of saffron using color and textural analysis , 2020, Food science & nutrition.
[3] Hao Zhu,et al. FTIR spectroscopy coupled with machine learning approaches as a rapid tool for identification and quantification of artificial sweeteners. , 2020, Food chemistry.
[4] D. Cozzolino,et al. Sensing the Addition of Vegetable Oils to Olive Oil: The Ability of UV–VIS and MIR Spectroscopy Coupled with Chemometric Analysis , 2019, Food Analytical Methods.
[5] Yangping Wen,et al. A novel strategy of near-infrared spectroscopy dimensionality reduction for discrimination of grades, varieties and origins of green tea , 2019, Vibrational Spectroscopy.
[6] Paul Brereton,et al. A systematic review of consumer perceptions of food fraud and authenticity: A European perspective , 2019 .
[7] Figen Tokatli,et al. Use of FTIR and UV-visible spectroscopy in determination of chemical characteristics of olive oils. , 2019, Talanta.
[8] E. Teye,et al. Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits , 2019, Journal of Spectroscopy.
[9] Yanhui Guo,et al. Ensemble of subspace discriminant classifiers for schistosomal liver fibrosis staging in mice microscopic images , 2018, Health Information Science and Systems.
[10] Hui Wang,et al. Collaborative representation based classifier with partial least squares regression for the classification of spectral data , 2018, Chemometrics and Intelligent Laboratory Systems.
[11] Patrick van der Smagt,et al. Introduction to Neural Networks , 2009 .
[12] Suqin Sun,et al. A Simple and Portable Screening Method for Adulterated Olive Oils Using the Hand-Held FTIR Spectrometer and Chemometrics Tools. , 2018, Journal of food science.
[13] Tigist Worku,et al. Evaluation of a miniaturized NIR spectrometer for cultivar identification: The case of barley, chickpea and sorghum in Ethiopia , 2018, PloS one.
[14] Ernestina Casiraghi,et al. Handheld NIR device: A non-targeted approach to assess authenticity of fish fillets and patties. , 2018, Food chemistry.
[15] Ana M. Jiménez-Carvelo,et al. Chemometric classification and quantification of olive oil in blends with any edible vegetable oils using FTIR-ATR and Raman spectroscopy , 2017 .
[16] H. Ayvaz,et al. Quantification of soybean oil adulteration in extra virgin olive oil using portable raman spectroscopy , 2017, Journal of Food Measurement and Characterization.
[17] Banu Ozen,et al. Prediction of various chemical parameters of olive oils with Fourier transform infrared spectroscopy , 2015 .
[18] Jun Bin,et al. Application of random forests to select premium quality vegetable oils by their fatty acid composition. , 2014, Food chemistry.
[19] Alejandro Cifuentes,et al. Food analysis: Present, future, and foodomics , 2012 .
[20] Salim Chitroub,et al. Classifier combination and score level fusion: concepts and practical aspects , 2010 .
[21] Lior Rokach,et al. Ensemble-based classifiers , 2010, Artificial Intelligence Review.
[22] Gerard Downey,et al. Geographic Classification of Extra Virgin Olive Oils from the Eastern Mediterranean by Chemometric Analysis of Visible and Near-Infrared Spectroscopic Data , 2003, Applied spectroscopy.
[23] Josef Kittler,et al. Combining classifiers , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[24] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[25] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .
[26] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[27] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .
[28] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[29] Waleed H. Abdulla,et al. Honey botanical origin classification using hyperspectral imaging and machine learning , 2020 .