Author

L. G. Denaro

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

C.-y. Huang· 2 shared H.-J. Li· 1 shared J.-Y. Chong· 1 shared S.-Y. Lin· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBiochemistry

C.-y. Huang

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2 papers

Recent·Most cited

Reconstructing fresh green leaf spectra in the SWIR-2 region (2001-2500 nm) collected in a humid environment by referring to publicly available green leaf spectral databases

L. G. Denaro, H.-J. Li, J.-Y. Chong, C.-y. Huang

This paper proposes a statistical method to reconstruct noise-free SWIR-2 leaf spectra using reference databases, achieving low RMSE in reflectance and transmittance.

International Journal of Applied Earth Observation and Geoinformation · May 1, 2024Peer-reviewedBiochemistry

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

L. G. Denaro, S.-Y. Lin, C.-y. 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.

bioRxiv · Mar 5, 2024Biochemistry