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12/29/2022
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients
Partial differential equations (PDEs) are important tools to model physi...
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08/29/2022
"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method
There is a pressing market demand to minimize the test time of Prompt Ga...
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08/29/2022
PGNAA Spectral Classification of Metal with Density Estimations
For environmental, sustainable economic and political reasons, recycling...
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08/26/2022
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Data in many applications follows systems of Ordinary Differential Equat...
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05/06/2022
Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design
Development and optimization of biopharmaceutical production processes w...
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05/06/2022
On boundary conditions parametrized by analytic functions
Computer algebra can answer various questions about partial differential...
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03/24/2021
Including Sparse Production Knowledge into Variational Autoencoders to Increase Anomaly Detection Reliability
Digitalization leads to data transparency for production systems that we...
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02/03/2020
Linearly Constrained Gaussian Processes with Boundary Conditions
One goal in Bayesian machine learning is to encode prior knowledge into ...
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01/28/2018
