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A near infrared spectroscopic study of the structural modifications of lime (Tilia cordata Mill.) wood during hydro-thermal treatment
A near infrared spectroscopic study of the structural modifications of lime (Tilia cordata Mill.) wood during hydro-thermal treatment
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A near infrared spectroscopic study of the structural modifications of lime (Tilia cordata Mill.) wood during hydro-thermal treatment

Popescu, Carmen-Mihaela ; Popescu, Maria-Cristina

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2013-11, Vol.115, p.227-233 [Periódico revisado por pares]

England: Elsevier B.V

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A High-efficiency blue-LED-excitable NIR-II-emitting MgO:Cr3+,Ni2+ phosphor for future broadband light source toward multifunctional NIR spectroscopy applications
A High-efficiency blue-LED-excitable NIR-II-emitting MgO:Cr3+,Ni2+ phosphor for future broadband light source toward multifunctional NIR spectroscopy applications
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A High-efficiency blue-LED-excitable NIR-II-emitting MgO:Cr3+,Ni2+ phosphor for future broadband light source toward multifunctional NIR spectroscopy applications

Liu, Bo-Mei ; Guo, Xiao-Xuan ; Cao, Lu-Yu ; Huang, Lin ; Zou, Rui ; Zhou, Zhi ; Wang, Jing

Chemical engineering journal (Lausanne, Switzerland : 1996), 2023-01, Vol.452, p.139313, Article 139313 [Periódico revisado por pares]

Elsevier B.V

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Tutorial: Items to be included in a report on a near infrared spectroscopy project
Tutorial: Items to be included in a report on a near infrared spectroscopy project
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Tutorial: Items to be included in a report on a near infrared spectroscopy project

Williams, Phil ; Dardenne, Pierre ; Flinn, Peter

Journal of near infrared spectroscopy (United Kingdom), 2017-04, Vol.25 (2), p.85-90 [Periódico revisado por pares]

London, England: SAGE Publications

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4
Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling
Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling
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Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling

Liu, Shiyu ; Wang, Shutao ; Hu, Chunhai ; Kong, Deming ; Yuan, Yuanyuan

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2023-04, Vol.291, p.122371, Article 122371 [Periódico revisado por pares]

England: Elsevier B.V

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5
Detection of adulteration in Chinese honey using NIR and ATR-FTIR spectral data fusion
Detection of adulteration in Chinese honey using NIR and ATR-FTIR spectral data fusion
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Detection of adulteration in Chinese honey using NIR and ATR-FTIR spectral data fusion

Huang, Furong ; Song, Han ; Guo, Liu ; Guang, Peiwen ; Yang, Xinhao ; Li, Liqun ; Zhao, Hongxia ; Yang, Maoxun

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2020-07, Vol.235, p.118297, Article 118297 [Periódico revisado por pares]

England: Elsevier B.V

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6
Determination of fat content in chicken hamburgers using NIR spectroscopy and the Successive Projections Algorithm for interval selection in PLS regression (iSPA-PLS)
Determination of fat content in chicken hamburgers using NIR spectroscopy and the Successive Projections Algorithm for interval selection in PLS regression (iSPA-PLS)
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Determination of fat content in chicken hamburgers using NIR spectroscopy and the Successive Projections Algorithm for interval selection in PLS regression (iSPA-PLS)

Krepper, Gabriela ; Romeo, Florencia ; Fernandes, David Douglas de Sousa ; Diniz, Paulo Henrique Gonçalves Dias ; de Araújo, Mário César Ugulino ; Di Nezio, María Susana ; Pistonesi, Marcelo Fabián ; Centurión, María Eugenia

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2018-01, Vol.189, p.300-306 [Periódico revisado por pares]

England: Elsevier B.V

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7
Comparing the predictions by NIR spectroscopy based multivariate models for distillation fractions of crude oils by F-test
Comparing the predictions by NIR spectroscopy based multivariate models for distillation fractions of crude oils by F-test
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Comparing the predictions by NIR spectroscopy based multivariate models for distillation fractions of crude oils by F-test

Šašić, Slobodan ; Veriotti, Tincuta ; Kotecki, Todd ; Austin, Stacy

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2023-02, Vol.286, p.122023, Article 122023 [Periódico revisado por pares]

Elsevier B.V

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8
Interpretability of selected variables and performance comparison of variable selection methods in a polyethylene and polypropylene NIR classification task
Interpretability of selected variables and performance comparison of variable selection methods in a polyethylene and polypropylene NIR classification task
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Interpretability of selected variables and performance comparison of variable selection methods in a polyethylene and polypropylene NIR classification task

Sem, Vilma

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2021-09, Vol.258, p.119850, Article 119850 [Periódico revisado por pares]

England: Elsevier B.V

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9
A portable NIR fluorimeter directly quantifies singlet oxygen generated by nanostructures for Photodynamic Therapy
A portable NIR fluorimeter directly quantifies singlet oxygen generated by nanostructures for Photodynamic Therapy
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A portable NIR fluorimeter directly quantifies singlet oxygen generated by nanostructures for Photodynamic Therapy

Orsi, Davide ; Vaccari, Marco ; Baraldi, Andrea ; Cristofolini, Luigi

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2022-01, Vol.265, p.120357, Article 120357 [Periódico revisado por pares]

Elsevier B.V

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10
Auto-sorting commonly recovered plastics from waste household appliances and electronics using near-infrared spectroscopy
Auto-sorting commonly recovered plastics from waste household appliances and electronics using near-infrared spectroscopy
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Auto-sorting commonly recovered plastics from waste household appliances and electronics using near-infrared spectroscopy

Wu, Xiaoyu ; Li, Jia ; Yao, Linpeng ; Xu, Zhenming

Journal of cleaner production, 2020-02, Vol.246, p.118732, Article 118732 [Periódico revisado por pares]

Elsevier Ltd

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