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Hamid Khodabandehlou

Showing results (1-10 of 6) with videos related to

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Biotechnology and Bioengineering|June 25, 2019
A machine-learning approach to calibrate generic Raman models for real-time monitoring of cell culture processesAditya Tulsyan, Gregg Schorner, Hamid Khodabandehlou, et al.
Biotechnology Progress|April 2, 2025
Continuous glucose feedback control using Raman spectroscopy and deep learning models for biopharmaceutical processesMohammad Rashedi, Matthew Demers, Hamid Khodabandehlou, et al.
Biotechnology and Bioengineering|October 22, 2019
Automatic real-time calibration, assessment, and maintenance of generic Raman models for online monitoring of cell culture processesAditya Tulsyan, Tony Wang, Gregg Schorner, et al.
Biotechnology and Bioengineering|April 24, 2024
Integration of just-in-time learning with variational autoencoder for cell culture process monitoring based on Raman spectroscopyMohammad Rashedi, Hamid Khodabandehlou, Tony Wang, et al.
Biotechnology and Bioengineering|January 29, 2024
Cell culture product quality attribute prediction using convolutional neural networks and Raman spectroscopyHamid Khodabandehlou, Mohammad Rashedi, Tony Wang, et al.
Biotechnology and Bioengineering|July 3, 2023
Machine learning-based model predictive controller design for cell culture processesMohammad Rashedi, Mina Rafiei, Matthew Demers, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Biotechnology and Bioengineering|June 25, 2019
A machine-learning approach to calibrate generic Raman models for real-time monitoring of cell culture processesAditya Tulsyan, Gregg Schorner, Hamid Khodabandehlou, et al.
Biotechnology Progress|April 2, 2025
Continuous glucose feedback control using Raman spectroscopy and deep learning models for biopharmaceutical processesMohammad Rashedi, Matthew Demers, Hamid Khodabandehlou, et al.
Biotechnology and Bioengineering|October 22, 2019
Automatic real-time calibration, assessment, and maintenance of generic Raman models for online monitoring of cell culture processesAditya Tulsyan, Tony Wang, Gregg Schorner, et al.
Biotechnology and Bioengineering|April 24, 2024
Integration of just-in-time learning with variational autoencoder for cell culture process monitoring based on Raman spectroscopyMohammad Rashedi, Hamid Khodabandehlou, Tony Wang, et al.
Biotechnology and Bioengineering|January 29, 2024
Cell culture product quality attribute prediction using convolutional neural networks and Raman spectroscopyHamid Khodabandehlou, Mohammad Rashedi, Tony Wang, et al.
Biotechnology and Bioengineering|July 3, 2023
Machine learning-based model predictive controller design for cell culture processesMohammad Rashedi, Mina Rafiei, Matthew Demers, et al.
Pageof 1