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Spectroscopy Letters
An International Journal for Rapid Communication
Volume 52, 2019 - Issue 10
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Articles

Total aromatics of diesel fuels analysis by deep learning and near-infrared spectroscopy

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Pages 671-676 | Received 20 Aug 2019, Accepted 14 Oct 2019, Published online: 02 Nov 2019

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Zhixiang Zhang, Guimin Cai, Hubin Liu, Tiancheng Huang, Zhiyue Feng, Longlian Zhao & Junhui Li. (2023) A correction method for mitigating inter-instrumental absorbance drift in grating-based near-infrared spectrometers. Spectroscopy Letters 0:0, pages 1-9.
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Articles from other publishers (3)

Jingrui Liu. (2023) Review Of Near Infrared Spectrum Detection Based on Deep Learning. Highlights in Science, Engineering and Technology 57, pages 101-107.
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Shiyu Liu, Shutao Wang, Chunhai Hu, Deming Kong & Yuanyuan Yuan. (2023) Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 291, pages 122371.
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Shiyu Liu, Shutao Wang, Chunhai Hu, Shujie Zhan, Deming Kong & Junzhu Wang. (2022) Rapid and accurate determination of diesel multiple properties through NIR data analysis assisted by machine learning. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 277, pages 121261.
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