Author

Lino Garda Denaro

National Taiwan UniversityORCID 0000-0001-5367-5392Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Cho‐ying HuangiD· 1 shared Shu-Yen LiniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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1 shared paperBiochemistry

Cho‐ying HuangORCID

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1 paper

Recent·Most cited

BiochemistryApplied Spectroscopy PracticaPeer-reviewedJun 1, 2025

Spectroscopic assessment of flavor-related chemical compounds in fresh tea shoots using deep learning

Lino Garda Denaro, Shu-Yen Lin, Cho‐ying Huang

This paper develops Y-Net, a deep learning model that estimates 10 tea flavor-related compounds using spectral data from fresh tea shoots, outperforming other models and showing promise for quality monitoring.

DOI 10.1177/27551857251338287

imagingdeep learning