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Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry
Research article (Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 2023) · cited 16× · AI/ML
Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry
Summary
Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry is a scholarly article[1].
Key Facts
Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry. Retrieved May 24, 2026, from https://4ort.xyz/entity/front-face-excitation-emission-matrix-fluorescence-spectroscopy-combined-with-interpretable-deep-learning-for-the-rapid-
MLA“Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/front-face-excitation-emission-matrix-fluorescence-spectroscopy-combined-with-interpretable-deep-learning-for-the-rapid-.
BibTeX@misc{4ortxyz_front-face-excitation-emission-matrix-fluorescence-spectroscopy-combined-with-interpretable-deep-learning-for-the-rapid-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry}}, year = {2026}, url = {https://4ort.xyz/entity/front-face-excitation-emission-matrix-fluorescence-spectroscopy-combined-with-interpretable-deep-learning-for-the-rapid-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Front-face excitation-emission matrix fluorescence spectroscopy combined with interpretable deep learning for the rapid identification of the storage year of Ningxia wolfberry — https://4ort.xyz/entity/front-face-excitation-emission-matrix-fluorescence-spectroscopy-combined-with-interpretable-deep-learning-for-the-rapid- (retrieved 2026-05-24)
