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Machine Learning Calibration for Near Infrared Spectroscopy Data: A Visual Programming Approach
Lecture Notes in Electrical Engineering - Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019
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10.1007/978-981-15-5281-6_40
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2020
◽
pp. 577-590
Author(s):
Mahmud Iwan Solihin
◽
Zheng Zekui
◽
Chun Kit Ang
◽
Fahri Heltha
◽
Mohamed Rizon
Keyword(s):
Machine Learning
◽
Infrared Spectroscopy
◽
Near Infrared Spectroscopy
◽
Near Infrared
◽
Visual Programming
◽
Programming Approach
◽
Spectroscopy Data
Download Full-text
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Spectroscopy Data
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Improving the accuracy of soil organic carbon content prediction based on visible and near-infrared spectroscopy and machine learning
Environmental Earth Sciences
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Xianyao Chu
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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
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Vol 515
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◽
pp. 65-73
◽
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Author(s):
M. Garrido
◽
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Multivariate Curve Resolution
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Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping
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Near Infrared Spectroscopy
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Near Infrared
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Optical Signal
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Spectroscopy Data
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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
◽
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Biomedical Engineering
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◽
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Le Hoa Nguyen
◽
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Predicting soil phosphorus and studying the effect of texture on the prediction accuracy using machine learning combined with near-infrared spectroscopy
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
◽
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◽
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Image reconstruction of oxidized cerebral cytochrome C oxidase changes from broadband near-infrared spectroscopy data
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