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Comparative study of partial least squares and neural network models of near-infrared spectroscopy for aging condition assessment of insulating paper
Research article (Measurement Science and Technology, 2019) · cited 19× · AI/ML
Comparative study of partial least squares and neural network models of near-infrared spectroscopy for aging condition assessment of insulating paper
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Comparative study of partial least squares and neural network models of near-infrared spectroscopy for aging condition assessment of insulating paper is a scholarly article[1].
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Comparative study of partial least squares and neural network models of near-infrared spectroscopy for aging condition assessment of insulating paper's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparative study of partial least squares and neural network models of near-infrared spectroscopy for aging condition assessment of insulating paper. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-study-of-partial-least-squares-and-neural-network-models-of-near-infrared-spectroscopy-for-aging-condition-a
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BibTeX@misc{4ortxyz_comparative-study-of-partial-least-squares-and-neural-network-models-of-near-infrared-spectroscopy-for-aging-condition-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative study of partial least squares and neural network models of near-infrared spectroscopy for aging condition assessment of insulating paper}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-study-of-partial-least-squares-and-neural-network-models-of-near-infrared-spectroscopy-for-aging-condition-a}, note = {Accessed: 2026-05-24}}
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