Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance

Research article (Journal of Food Composition and Analysis, 2020) · cited 40× · AI/ML
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Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance

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Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutional-neural-network-based-approach-for-classification-of-edible-oils-using-low-field-nuclear-magnetic-resonance
MLA “Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutional-neural-network-based-approach-for-classification-of-edible-oils-using-low-field-nuclear-magnetic-resonance.
BibTeX @misc{4ortxyz_convolutional-neural-network-based-approach-for-classification-of-edible-oils-using-low-field-nuclear-magnetic-resonance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance}}, year = {2026}, url = {https://4ort.xyz/entity/convolutional-neural-network-based-approach-for-classification-of-edible-oils-using-low-field-nuclear-magnetic-resonance}, note = {Accessed: 2026-05-24}}
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