1 citations · 2 across the 3 of their papers we have counts for
3 papers
Automatic Raman Measurements in a High-Throughput Bioprocess Development Lab
Christoph Lange, Simon Seidel, Madeline Altmann +6
This study presents a collection of physical devices and software services that fully automate Raman spectra measurements for liquid samples within a robotic facility. This method…
Deep learning adaptive Model Predictive Control of Fed-Batch Cultivations
Niels Krausch, Martin Doff-Sotta, Mark Cannon +2
Bioprocesses are often characterised by nonlinear and uncertain dynamics, posing particular challenges for model predictive control (MPC) algorithms due to their computational dema…
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development
Nghia Duong-Trung, Stefan Born, Jong Woo Kim +9
Machine learning (ML) is becoming increasingly crucial in many fields of engineering but has not yet played out its full potential in bioprocess engineering. While experimentation…