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Linda Cai

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Deep Learning for Raman Spectroscopy: Benchmarking Models for Upstream Bioprocess Monitoring

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Deep Learning for Raman Spectroscopy: Benchmarking Models for Upstream Bioprocess Monitoring

Number of pages: 30 Posted: 02 May 2025
Christoph Lange, Madeline Altmann, Daniel Stors, Simon Seidel, Kyle Moynahan, Linda Cai, Stefan Born, Peter Neubauer and Nicolas Cruz Bournazou
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Technische Universitaet Berlin
Downloads 113 (629,668)

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Raman spectroscopy, Deep Learning, Upstream Bioprocessing, Gradient Boosted Trees, Partial least squares

Deep Learning for Raman Spectroscopy: Benchmarking Models for Upstream Bioprocess Monitoring

Number of pages: 29 Posted: 25 Apr 2025
Christoph Lange, Madeline Altmann, Daniel Stors, Simon Seidel, Kyle Moynahan, Linda Cai, Stefan Born, Peter Neubauer and Nicolas Cruz Bournazou
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Technische Universitaet Berlin
Downloads 108 (658,807)

Abstract:

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Raman Spectroscopy, Deep learning, Upstream Bioprocessing, Gradient Boosted Trees, Partial Least Squares