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Deep residual network enabled smart hyperspectral image analysis and its application to monitoring moisture, size distribution and contents of four bioactive compounds of granules in the fluid-bed granulation process of Guanxinning tablets
Research article (Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 2022) · cited 14× · AI/ML
Deep residual network enabled smart hyperspectral image analysis and its application to monitoring moisture, size distribution and contents of four bioactive compounds of granules in the fluid-bed granulation process of Guanxinning tablets
Summary
Deep residual network enabled smart hyperspectral image analysis and its application to monitoring moisture, size distribution and contents of four bioactive compounds of granules in the fluid-bed granulation process of Guanxinning tablets is a scholarly article[1].
Key Facts
Deep residual network enabled smart hyperspectral image analysis and its application to monitoring moisture, size distribution and contents of four bioactive compounds of granules in the fluid-bed granulation process of Guanxinning tablets's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep residual network enabled smart hyperspectral image analysis and its application to monitoring moisture, size distribution and contents of four bioactive compounds of granules in the fluid-bed granulation process of Guanxinning tablets. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-residual-network-enabled-smart-hyperspectral-image-analysis-and-its-application-to-monitoring-moisture-size-distrib
MLA“Deep residual network enabled smart hyperspectral image analysis and its application to monitoring moisture, size distribution and contents of four bioactive compounds of granules in the fluid-bed granulation process of Guanxinning tablets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-residual-network-enabled-smart-hyperspectral-image-analysis-and-its-application-to-monitoring-moisture-size-distrib.
BibTeX@misc{4ortxyz_deep-residual-network-enabled-smart-hyperspectral-image-analysis-and-its-application-to-monitoring-moisture-size-distrib_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep residual network enabled smart hyperspectral image analysis and its application to monitoring moisture, size distribution and contents of four bioactive compounds of granules in the fluid-bed granulation process of Guanxinning tablets}}, year = {2026}, url = {https://4ort.xyz/entity/deep-residual-network-enabled-smart-hyperspectral-image-analysis-and-its-application-to-monitoring-moisture-size-distrib}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep residual network enabled smart hyperspectral image analysis and its application to monitoring moisture, size distribution and contents of four bioactive compounds of granules in the fluid-bed granulation process of Guanxinning tablets — https://4ort.xyz/entity/deep-residual-network-enabled-smart-hyperspectral-image-analysis-and-its-application-to-monitoring-moisture-size-distrib (retrieved 2026-05-24)