From Shallow to Deep Bioprocess Hybrid Modeling: Advances and Future Perspectives
Deep learning is emerging in many industrial sectors in hand with big data analytics to
streamline production. In the biomanufacturing sector, big data infrastructure is lagging …
streamline production. In the biomanufacturing sector, big data infrastructure is lagging …
Toward a modeling, optimization, and predictive control framework for fed‐batch metabolic cybergenetics
Biotechnology offers many opportunities for the sustainable manufacturing of valuable
products. The toolbox to optimize bioprocesses includes extracellular process elements …
products. The toolbox to optimize bioprocesses includes extracellular process elements …
[HTML][HTML] Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models
Optogenetic modulation of adenosine triphosphatase (ATPase) expression represents a
novel approach to maximize bioprocess efficiency by leveraging enforced adenosine …
novel approach to maximize bioprocess efficiency by leveraging enforced adenosine …
Machine learning for process control of (bio) chemical processes
The control of manufacturing processes must satisfy high quality and efficiency requirements
while meeting safety requirements. A broad spectrum of monitoring and control strategies …
while meeting safety requirements. A broad spectrum of monitoring and control strategies …
Machine learning for control of (bio) chemical manufacturing systems
The control of manufacturing processes must satisfy high-quality and efficiency requirements
while meeting safety requirements. A broad spectrum of monitoring and control strategies …
while meeting safety requirements. A broad spectrum of monitoring and control strategies …
Modeling, optimization, and predictive control for metabolic cybergenetics
S Espinel Ríos - 2023 - repo.bibliothek.uni-halle.de
This thesis outlines a framework for metabolic cybergenetics that employs computational
methods to control gene expression of metabolism-relevant enzymes via external signals …
methods to control gene expression of metabolism-relevant enzymes via external signals …
[PDF][PDF] Modeling, optimization, and predictive control for metabolic cybergenetics
IS Klamt, IR Findeisen, IS Waldherr - opendata.uni-halle.de
This thesis outlines a framework for metabolic cybergenetics that employs computational
methods to control gene expression of metabolism-relevant enzymes via external signals …
methods to control gene expression of metabolism-relevant enzymes via external signals …