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Eldorado - Repository of the TU Dortmund
Resources for and from Research, Teaching and Studying
Eldorado
Fakultäten
06 Fakultät Bio- und Chemieingenieurwesen
Fakultät für Bio- und Chemieingenieurwesen : [8]
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Collection's Items (Sorted by Submit Date in Descending order): 1 to 8 of 8
Issue Date
Title
Author(s)
2023-11-02
Improved uncertainty quantification for neural networks with Bayesian last layer
Fiedler, Felix
;
Lucia, Sergio
2023-10-20
Probabilistic multi-step identification with implicit state estimation for stochastic MPC
Fiedler, Felix
;
Lucia, Sergio
2023
Synthesis of aspartic proteases probes and their application for interaction identification and binding hotspots mapping
Sickmann, Albert
;
Chen, Suyuan
;
Kaiser, Markus
2022-05-20
Cell‐free protein synthesis for the screening of novel azoreductases and their preferred electron donor
Rolf, Jascha
;
Ngo, Anna Christina Reyes
;
Lütz, Stephan
;
Tischler, Dirk
;
Rosenthal, Katrin
2022-09-29
Agar plate-based screening approach for the identification of enzyme-catalyzed oxidations
Kinner, Alina
;
Lütz, Stephan
;
Rosenthal, Katrin
2022-11-23
Comparative life cycle assessment of chemical and biocatalytic 2’3’-cyclic GMP-AMP synthesis
Becker, Martin
;
Ziemińska-Stolarska, Aleksandra
;
Markowska, Dorota
;
Lütz, Stephan
;
Rosenthal, Katrin
2023
Efficient approximations of model predictive control laws via deep learning
Lucia, Sergio
;
Karg, Benjamin
;
Mesbah, Ali
2021-07-22
Probabilistic performance validation of deep learning-based robust NMPC controllers
Karg, Benjamin
;
Alamo, Teodoro
;
Lucia, Sergio
Collection's Items (Sorted by Submit Date in Descending order): 1 to 8 of 8
Discover
Author
3
Lucia, Sergio
3
Lütz, Stephan
3
Rosenthal, Katrin
2
Fiedler, Felix
2
Karg, Benjamin
1
Alamo, Teodoro
1
Becker, Martin
1
Chen, Suyuan
1
Kinner, Alina
1
Markowska, Dorota
.
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Subject
1
Life cycle assessment
1
Machine learning
1
Mass spectrometry
1
multi-step identification
1
NADH
1
NADPH
1
Photoaffinity labeling
1
Probabilistic validation
1
stochastic model predictive control
1
Sustainable chemistry
.
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Date issued
4
2023
3
2022
1
2021