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Causality Enhanced Global-Local Graph Neural Network for Bioprocess Factor Forecasting
Z Sun, Y Li, Q He, H Xu, W Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Forecasting governing key factors in industrial bioprocesses is crucial for ensuring stability
and efficiency in production. However, the accurate prediction is challenged by the strong …
and efficiency in production. However, the accurate prediction is challenged by the strong …
Integration of just‐in‐time learning with variational autoencoder for cell culture process monitoring based on Raman spectroscopy
Protein production in the biopharmaceutical industry necessitates the utilization of multiple
analytical techniques and control methodologies to ensure both safety and consistency. To …
analytical techniques and control methodologies to ensure both safety and consistency. To …
Raman laser intensity and sample clarification on biochemical monitoring over Zika-VLP upstream stages
PE da Silva Cavalcante, JP Rabello, J Leme… - Biochemical and …, 2024 - Elsevier
In the current biopharmaceutical scenario, constant bioprocess monitoring is crucial for the
quality and integrity of final products. Thus, process analytical techniques, such as those …
quality and integrity of final products. Thus, process analytical techniques, such as those …
Online Machine Learning for Real-Time Cell Culture Process Monitoring
In the biopharmaceutical industry, the production of monoclonal antibodies (mAbs) relies
heavily on the optimization and real-time monitoring of cell culture processes. This study …
heavily on the optimization and real-time monitoring of cell culture processes. This study …