2 citations · 2 across the 2 of their papers we have counts for
3 papers
Experimentally implemented dynamic optogenetic optimization of ATPase expression using knowledge-based and Gaussian-process-supported models
Sebastián Espinel-Ríos, Gerrich Behrendt, Jasmin Bauer +6
Optogenetic modulation of adenosine triphosphatase (ATPase) expression represents a novel approach to maximize bioprocess efficiency by leveraging enforced adenosine triphosphate (…
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios
Payman Goodarzi, Andreas Schütze, Tizian Schneider
This study extensively compares conventional machine learning methods and deep learning for condition monitoring tasks using an AutoML toolbox. The experiments reveal consistent hi…
Deep convolutional neural networks for cyclic sensor data
Payman Goodarzi, Yannick Robin, Andreas Schütze +1
Predictive maintenance plays a critical role in ensuring the uninterrupted operation of industrial systems and mitigating the potential risks associated with system failures. This…