Tae-Sung Shin
(PhD)
Quality and Safety Assessment Research Unit
Information Technology Specialist
Phone: (706) 546-3503
Fax: (706) 546-1031
(Employee information on this page comes from the REE Directory. Please contact your front office staff to update the REE Directory.)
Publications
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Coupling hyperspectral imaging with machine learning algorithms for detecting polyethylene (PE) and polyamide (PA) in soils
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Huan, C., Shin, T., Park, B., Ro, K.S., Jeong, C., Jeon, H., Tan, P. 2024. Coupling hyperspectral imaging with machine learning algorithms for detecting microplastics in soils. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2024.134346.
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Classification between live and dead foodborne bacteria with hyperspectral microscope imagery and machine learning
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Park, B., Shin, T., Wang, B., Mcdonogh, B., Fong, A. 2023. Classification between live and dead foodborne bacteria with hyperspectral microscope imagery and machine learning. Journal of Microbiological Methods. https://doi.org/10.1016/j.mimet.2023.106739.
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Automated segmentation of foodborne bacteria from chicken rinse with hyperspectral microscope imaging and deep learning methods
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Park, B., Shin, T., Kang, R., Fong, A., Mcdonogh, B., Yoon, S.C. 2023. Automated segmentation of foodborne bacteria from chicken rinse with hyperspectral microscope imaging and deep learning methods. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2023.107802.
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Improving blueberry firmness classification with spectral and textural features of microstructures using hyperspectral microscope imaging and deep learning
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Park, B., Shin, T., Cho, J., Lim, J., Park, K. 2022. Improving blueberry firmness classification with spectral and textural features of microstructures using hyperspectral microscope imaging and deep learning. Postharvest Biology and Technology. https://doi.org/10.1016/j.postharvbio.2022.112154.
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Characterizing hyperspectral microscope imagery for classification of blueberry firmness with deep learning methods
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Park, B., Shin, T., Cho, J., Lim, J., Park, K. 2021. Characterizing hyperspectral microscope imagery for classification of blueberry firmness with deep learning methods. Agronomy Journal. https://doi.org/10.3390/agronomy12010085.
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Development of Online Egg Grading Information Management System with Data Warehouse Technique
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Yoon, S.C., Shin, T., Lawrence, K.C., Jones, D.R. 2020. Development of Online Egg Grading Information Management System with Data Warehouse Technique. Applied Engineering in Agriculture. 36(4), pp.589-604..
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Hyperspectral image recovery using a color camera for detecting colonies of foodborne pathogens on agar plate
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Yoon, S.C., Shin, T., Heitschmidt, G.W., Lawrence, K.C., Park, B., Gamble, G.R. 2019. Hyperspectral image recovery using a color camera for detecting colonies of foodborne pathogens on agar plate. Journal of Biosystems Engineering. https://doi.org/10.1007/s42853-019-00024-y.
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Hyperspectral imaging using RGB color for foodborne pathogen detection
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Yoon, S.C., Shin, T., Lawrence, K.C., Heitschmidt, G.W., Park, B., Gamble, G.R. 2015. Hyperspectral imaging using RGB color for foodborne pathogen detection. Journal of Electronic Imaging. 24(4):043008.
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Hyperspectral imaging using a color camera and its application for pathogen detection
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Yoon, S.C., Shin, T., Heitschmidt, G.W., Lawrence, K.C., Park, B., Gamble, G.R. 2015. Hyperspectral imaging using a color camera and its application for pathogen detection. Proceedings for Electronic Imaging Meeting. https://doi.org/10.1117/12.2083137.
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Hyperspectral image reconstruction using RGB color for foodborne pathogen detection on agar plates
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Yoon, S.C., Shin, T., Park, B., Lawrence, K.C., Heitschmidt, G.W. 2014. Hyperspectral image reconstruction using RGB color for foodborne pathogen detection on agar plates. Proceedings of SPIE. V. 9024, Image Processing: Machine Vision Applications VII, 902401 (March 7,);doi:10:1117/12.2041085.
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