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Sensors (Basel, Switzerland)
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January 28, 2026
Comparison of Input-Data Matrix Representations Used for Continual Learning with Orthogonal Weight Modification on Edge Devices
Ronald Mendez, Andreas Maier, Johannes Emmert
Scientific Reports
|
July 10, 2018
Data analysis and uncertainty estimation in supercontinuum laser absorption spectroscopy
Johannes Emmert, Niels Göran Blume, Andreas Dreizler, et al.
Applied Optics
|
January 16, 2019
PolySpec: polynomial spectrum models for fast and light-weight spectroscopic evaluation
Johannes Emmert, Niels Göran Blume, Andreas Dreizler, et al.
Optics Express
|
November 2, 2019
Efficient Bayesian inference of absorbance spectra from transmitted intensity spectra
Johannes Emmert, Samuel J Grauer, Steven Wagner, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
August 29, 2024
The Artificial Neural Twin - Process optimization and continual learning in distributed process chains
Johannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, et al.
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Search research articles
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Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Sensors (Basel, Switzerland)
|
January 28, 2026
Comparison of Input-Data Matrix Representations Used for Continual Learning with Orthogonal Weight Modification on Edge Devices
Ronald Mendez, Andreas Maier, Johannes Emmert
Scientific Reports
|
July 10, 2018
Data analysis and uncertainty estimation in supercontinuum laser absorption spectroscopy
Johannes Emmert, Niels Göran Blume, Andreas Dreizler, et al.
Applied Optics
|
January 16, 2019
PolySpec: polynomial spectrum models for fast and light-weight spectroscopic evaluation
Johannes Emmert, Niels Göran Blume, Andreas Dreizler, et al.
Optics Express
|
November 2, 2019
Efficient Bayesian inference of absorbance spectra from transmitted intensity spectra
Johannes Emmert, Samuel J Grauer, Steven Wagner, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
August 29, 2024
The Artificial Neural Twin - Process optimization and continual learning in distributed process chains
Johannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, et al.
Page
of 1