Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Michael Bortz"'
Autor:
Dominik Leib, Tobias Seidel, Sven Jäger, Raoul Heese, Caitlin Jones, Abhishek Awasthi, Astrid Niederle, Michael Bortz
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract We present a comprehensive case study comparing the performance of D-Waves’ quantum-classical hybrid framework, Fujitsu’s quantum-inspired digital annealer, and Gurobi’s state-of-the-art classical solver in solving a transport robot sc
Externí odkaz:
https://doaj.org/article/81ab359f3d9b434595a8d0c5d16eac10
Autor:
Henrik Nausch, Marco Baldan, Katrin Teichert, Jannik Lutz, Carsten Claussen, Michael Bortz, Johannes Felix Buyel
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionTobacco (Nicotiana tabacum) cv Bright Yellow-2 (BY-2) cell suspension cultures enable the rapid production of complex protein-based biopharmaceuticals but currently achieve low volumetric productivity due to slow biomass formation. The bi
Externí odkaz:
https://doaj.org/article/1485d5efc1bf411980aa9881d8a7a6d3
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279876 (2023)
We propose a novel methodology for general multi-class classification in arbitrary feature spaces, which results in a potentially well-calibrated classifier. Calibrated classifiers are important in many applications because, in addition to the predic
Externí odkaz:
https://doaj.org/article/1f5afa76ccbf4b3da796fc9f4a071a85
Publikováno v:
Beverages, Vol 9, Iss 3, p 68 (2023)
Fermentation processes used for producing alcoholic beverages such as beer, wine, and cider have a long history, having been developed early on across different civilizations. In most instances, yeast strains are used for fermentation processes, e.g.
Externí odkaz:
https://doaj.org/article/709236e783384d15ac0784699f45c4c5
Autor:
Johannes Höller, Patricia Bickert, Patrick Schwartz, Martin von Kurnatowski, Joachim Kerber, Niklaus Künzle, Hilke-Marie Lorenz, Norbert Asprion, Sergej Blagov, Michael Bortz
Publikováno v:
ChemEngineering, Vol 3, Iss 2, p 56 (2019)
Many thermodynamic models used in practice are at least partially empirical and thus require the determination of certain parameters using experimental data. However, due to the complexity of the models involved as well as the inhomogeneity of availa
Externí odkaz:
https://doaj.org/article/a8e0f159f4d7445c9c2a74f600f44b48
Autor:
Fabian Hartung, Billy Joe Franks, Tobias Michels, Dennis Wagner, Philipp Liznerski, Steffen Reithermann, Sophie Fellenz, Fabian Jirasek, Maja Rudolph, Daniel Neider, Heike Leitte, Chen Song, Benjamin Kloepper, Stephan Mandt, Michael Bortz, Jakob Burger, Hans Hasse, Marius Kloft
Publikováno v:
Chemie Ingenieur Technik.
This paper provides the first comprehensive evaluation and analysis of modern (deep-learning-based) unsupervised anomaly detection methods for chemical process data. We focus on the Tennessee Eastman process dataset, a standard litmus test to benchma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09ba06de5101e4c9ade041db72ca0e11
https://doi.org/10.1002/cite.202200238
https://doi.org/10.1002/cite.202200238
Autor:
Michael Bortz, Kai Dadhe, Sebastian Engell, Vanessa Gepert, Norbert Kockmann, Ralph Müller-Pfefferkorn, Thorsten Schindler, Leon Urbas
Publikováno v:
Chemie Ingenieur Technik.
The chemical industry is one of the key industrial sectors in Germany and at the same time one of the largest consumers of energy and raw materials. A successful energy transition and the development of a circular economy can only succeed if they are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f9ff3d914a00a1ae578d6351ce37562
https://doi.org/10.1002/cite.202200247
https://doi.org/10.1002/cite.202200247
Publikováno v:
Chemie Ingenieur Technik.
Input-output data sets are ubiquitous in chemical process engineering. We introduce a real-time interactive navigation framework that provides several capabilities to the decision maker (DM). Once a surrogate model is trained the DM can perform what-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2591392b3890c54968c37e2e783b8a4
https://doi.org/10.1002/cite.202200240
https://doi.org/10.1002/cite.202200240
Quantum sensing encompasses highly promising techniques with diverse applications including noise-reduced imaging, super-resolution microscopy, as well as imaging and spectroscopy in challenging spectral ranges. These detection schemes use biphoton c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e2fc78af5f047d8c830afd5ef90206e
https://publica.fraunhofer.de/handle/publica/441972
https://publica.fraunhofer.de/handle/publica/441972
Knowledge of thermodynamic properties of mixtures is essential in many fields of science and engineering. However, the experimental data is usually scarce, so prediction methods are needed. Matrix completion methods have proven to be very successful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fb4c6e04ede7cd98309d4ab0a72d91c
https://publica.fraunhofer.de/handle/publica/445073
https://publica.fraunhofer.de/handle/publica/445073