First Approaches to Automatically Diagnose and ReconfigureCyber-Physical Systems (English)
- New search for: Diedrich, Alexander
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- New search for: Niggemann, Oliver
- Further information on Niggemann, Oliver:
- http://d-nb.info/gnd/1095682016
- New search for: Diedrich, Alexander
- New search for: Balzereit, Kaja
- New search for: Niggemann, Oliver
- Further information on Niggemann, Oliver:
- http://d-nb.info/gnd/1095682016
In:
Machine Learning for Cyber Physical Systems
; 113 -122
;
2021
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ISBN:
- Conference paper / Print
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Title:First Approaches to Automatically Diagnose and ReconfigureCyber-Physical Systems
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Contributors:
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Conference:International Conference ML4CPS ; 5. ; 2020 ; Berlin
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Published in:Machine Learning for Cyber Physical Systems ; 113 -122
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Publisher:
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Place of publication:Berlin
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Publication date:2021
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ISBN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Keywords:
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The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Energy Profile Prediction of Milling Processes Using Machine Learning TechniquesMühlbauer, Matthias / Würschinger, Hubert / Polzer, Dominik / Hanenkamp, Nico et al. | 2021
- 13
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Improvement of the prediction quality of electrical load profiles with artificial neural networksBauer, Fabian / Hagner, Jessica / Bretschneider, Peter / Klaiber, Stefan et al. | 2021
- 23
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Detection and localization of an underwater docking stationKarimanzira, Divas / Renkewitz, Helge et al. | 2021
- 33
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Deployment architecture for the local delivery of ML-Models to the industrial shop floorBackhaus, Andreas / Herzog, Andreas / Adler, Simon / Jachmann, Daniel et al. | 2021
- 43
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Deep Learning in Resource and Data Constrained Edge Computing SystemsSharma, Pranay / Rüb, Marcus / Gaida, Daniel / Lutz, Heiko / Sikora, Axel et al. | 2021
- 53
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Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival AnalysisGraniero, Paolo / Gärtler, Marco et al. | 2021
- 63
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Proposal for requirements on industrial AI solutionsHoffmann, Martin W / Drath, Rainer / Ganz, Christopher et al. | 2021
- 73
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Information modeling and knowledge extraction for machine learning applications in industrial production systemsWindmann, Stefan / Kühnert, Christian et al. | 2021
- 83
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Explanation Framework for Intrusion DetectionBurkart, Nadia / Franz, Maximilian / Huber, Marco et al. | 2021
- 93
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Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine LearningKoehler, Wolfgang / Jing, Yanguo et al. | 2021
- 103
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Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial Example AttacksSpecht, Felix / Otto, Jens et al. | 2021
- 113
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First Approaches to Automatically Diagnose and ReconfigureCyber-Physical SystemsDiedrich, Alexander / Balzereit, Kaja / Niggemann, Oliver et al. | 2021
- 123
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Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic dataFend, Chiara / Moghiseh, Ali / Redenbach, Claudia / Schladitz, Katja et al. | 2021