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

Research article (Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 2023) · cited 27× · AI/ML
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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 is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/series-fusion-of-scatter-correction-techniques-coupled-with-deep-convolution-neural-network-as-a-promising-approach-for-
MLA “Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/series-fusion-of-scatter-correction-techniques-coupled-with-deep-convolution-neural-network-as-a-promising-approach-for-.
BibTeX @misc{4ortxyz_series-fusion-of-scatter-correction-techniques-coupled-with-deep-convolution-neural-network-as-a-promising-approach-for-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling}}, year = {2026}, url = {https://4ort.xyz/entity/series-fusion-of-scatter-correction-techniques-coupled-with-deep-convolution-neural-network-as-a-promising-approach-for-}, note = {Accessed: 2026-05-24}}
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