Noise reduction for near-infrared spectroscopy data using extreme learning machines

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2018.12.005 ◽

2019 ◽

Vol 79 ◽

pp. 13-22 ◽

Author(s):

Pablo A. Henríquez ◽

Gonzalo A. Ruz

Keyword(s):

Infrared Spectroscopy ◽

Noise Reduction ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Spectroscopy Data ◽

Extreme Learning Machines ◽

Learning Machines

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Brand classification of detergent powder using near-infrared spectroscopy and extreme learning machines

Microchemical Journal ◽

10.1016/j.microc.2020.105691 ◽

2021 ◽

Vol 160 ◽

pp. 105691

Author(s):

Chao Tan ◽

Hui Chen ◽

Zan Lin

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Extreme Learning Machines ◽

Learning Machines ◽

Detergent Powder

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Ensemble of extreme learning machines for multivariate calibration of near-infrared spectroscopy

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2019.117982 ◽

2020 ◽

Vol 229 ◽

pp. 117982 ◽

Author(s):

Hui Chen ◽

Chao Tan ◽

Zan Lin

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Multivariate Calibration ◽

Extreme Learning Machines ◽

Learning Machines

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Multivariate resolution of rank-deficient near-infrared spectroscopy data from the reaction of curing epoxy resins using the rank augmentation strategy and multivariate curve resolution alternating least squares approach

Analytica Chimica Acta ◽

10.1016/j.aca.2003.10.088 ◽

2004 ◽

Vol 515 (1) ◽

pp. 65-73 ◽

Author(s):

M. Garrido ◽

I. Lázaro ◽

M.S. Larrechi ◽

F.X. Rius

Keyword(s):

Infrared Spectroscopy ◽

Least Squares ◽

Near Infrared Spectroscopy ◽

Epoxy Resins ◽

Near Infrared ◽

Multivariate Curve Resolution ◽

Spectroscopy Data ◽

Curve Resolution ◽

Augmentation Strategy ◽

Least Squares Approach

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Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping

Journal of Biomedical Optics ◽

10.1117/1.2804092 ◽

2007 ◽

Vol 12 (6) ◽

pp. 064010 ◽

Author(s):

Peck H. Koh ◽

Daniel E. Glaser ◽

Guillaume Flandin ◽

Stefan Kiebel ◽

Brian Butterworth ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Data Processing ◽

Near Infrared Spectroscopy ◽

Signal Analysis ◽

Near Infrared ◽

Statistical Parametric Mapping ◽

Software Tool ◽

Optical Signal ◽

Spectroscopy Data ◽

Parametric Mapping

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Test for Determinism and Nonlinearity in Near Infrared Spectroscopy Data

IFMBE Proceedings - The Third International Conference on the Development of Biomedical Engineering in Vietnam ◽

10.1007/978-3-642-12020-6_19 ◽

2010 ◽

pp. 75-79 ◽

Author(s):

N. T. Dzung

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Spectroscopy Data

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Estimation of the Hemodynamic Response of Near Infrared Spectroscopy Data: A Linear Model Approach

Biomedical Engineering ◽

10.2316/p.2010.723-066 ◽

2010 ◽

Author(s):

Le Hoa Nguyen ◽

Keum-Shik Hong

Keyword(s):

Infrared Spectroscopy ◽

Linear Model ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Hemodynamic Response ◽

Spectroscopy Data ◽

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Resting state connectivity patterns with near-infrared spectroscopy data of the whole head

Biomedical Optics Express ◽

10.1364/boe.7.002524 ◽

2016 ◽

Vol 7 (7) ◽

pp. 2524 ◽

Author(s):

Sergio L. Novi ◽

Renato B. M. L. Rodrigues ◽

Rickson C. Mesquita

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Resting State ◽

Near Infrared ◽

Spectroscopy Data ◽

Connectivity Patterns ◽

Resting State Connectivity

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Image reconstruction of oxidized cerebral cytochrome C oxidase changes from broadband near-infrared spectroscopy data

Neurophotonics ◽

10.1117/1.nph.4.2.021105 ◽

2017 ◽

Vol 4 (2) ◽

pp. 021105 ◽

Author(s):

Sabrina Brigadoi ◽

Phong Phan ◽

David Highton ◽

Samuel Powell ◽

Robert J. Cooper ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Image Reconstruction ◽

Cytochrome C ◽

Cytochrome C Oxidase ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Spectroscopy Data

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Multivariate regression models obtained from near-infrared spectroscopy data for prediction of the physical properties of biodiesel and its blends

Fuel ◽

10.1016/j.fuel.2019.116344 ◽

2020 ◽

Vol 261 ◽

pp. 116344 ◽

Author(s):

Camilla L. Cunha ◽

Alexandre R. Torres ◽

Aderval S. Luna

Keyword(s):

Infrared Spectroscopy ◽

Physical Properties ◽

Near Infrared Spectroscopy ◽

Multivariate Regression ◽

Regression Models ◽

Near Infrared ◽

Spectroscopy Data

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Task-related component analysis for functional neuroimaging and application to near-infrared spectroscopy data

10.1016/j.neuroimage.2012.08.044 ◽

2013 ◽

Vol 64 ◽

pp. 308-327 ◽

Author(s):

Hirokazu Tanaka ◽

Takusige Katura ◽

Hiroki Sato

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Functional Neuroimaging ◽

Component Analysis ◽

Spectroscopy Data

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