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794 Publikationen
2019 | Sammelwerk - Beitrag | ELSA-ID: 4759
Neumann A, Wisniewski L, Jasperneite J. 5G into Profinet integration as a use case for network slicing. In: 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019. Zaragoza, Spain; 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4760
Ehrlich M, Trsek H, Paffrath J, Gergeleit M, Simkin K, Jasperneite J. Secure and Flexible Deployment of Industrial Applications inside Cloud-Based Environments. In: 24th International Conference on Emerging Technologies and Factory Automation (ETFA). Saragossa (Spanien); 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4761
Lang D, Grunau S, Wisniewski L, Jasperneite J. Utilization of the Asset Administration Shell to Support Humans During the Maintenance Process. In: Aalto-Yliopisto, Tampereen yliopisto , Suomen Automaatioseura , Institute of Electrical and Electronics Engineers , eds. 17th International Conference on Industrial Informatics (IEEE-INDIN 2019). IEEE International Conference on Industrial Informatics INDIN. IEEE; 2019:768-773. doi:10.1109/indin41052.2019.8972236
ELSA
| DOI
2019 | Konferenz - Beitrag | ELSA-ID: 4762
Panda SK, Majumder M, Ehrlich M, Neumann A, Wisniewski L, Jasperneite J. Topology Detection as a Base for Efficient Management of Heterogeneous Industrial Network Systems Using Software-Defined Networking. In: IEEE Workshop on Factory Communication Systems 2019. Sundsvall, Sweden: IEEE; 2019:8.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4763
Jasperneite J. Auf ewig verbunden – Was ist der digitale Zwilling? . In: Vortrag. Museumsrunde IHK Lippe und TH OWL; 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4764
Ehrlich M, Neumann A, Biendarra A, Jasperneite J. Quality-of-Service Monitoring of Hybrid Industrial Communication Networks. In: At - Automatisierungstechnik 67 (1), Special Issue: Methods for a Reliable Wireless Communication in the Industry. De Gruyter; 2019:69-78.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte A, Wunderlich P, Moriz N, et al. Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. In: 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain; 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4781
Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H, Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In: Institute of Electrical and Electronics Engineers, Universidad de Zaragoza , eds. 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation-ETFA. IEEE; 2019:729-736. doi:10.1109/etfa.2019.8869038
ELSA
| DOI
2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H, Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems. arXiv e-prints. 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4785
Bunte A, Stein B, Niggemann O. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. In: Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19); 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4800
Sehr P, Moriz N. Partitioning Manual Assembly Workstations for Flexible Manufacturing. In: Proceedings 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain; 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4801
Sehr P, Moriz N, Bendzioch S, Hinrichsen S. Ansätze für Komplexitätsreduktion in manuellen Montageprozessen. In: AUTOMATION 2019: Autonomous Systems and 5G in Connected Industries. Baden-Baden: VDI; 2019:671-682.
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 2004 | 
Pfeifer A, Lohweg V. Identifying Characteristic Gait Patterns in Real-World Scenarios. In: 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA). Dortmund: KIT Scientific Publishing, Karlsruhe; 2018:279-295. doi:10.5445/KSP/1000085935
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2018 | Konferenz - Beitrag | ELSA-ID: 2005 |
Dörksen H, Lohweg V. Linear Classification of Badly Conditioned Data. . In: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy; 2018. doi:10.1109/ETFA.2018.8502485
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2018 | Konferenz - Beitrag | ELSA-ID: 2006
Bator M, Wissel C, Dicks A, Lohweg V. Feature Extraction for a Conditioning Monitoring System in a Bottling Process. In: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). ; 2018. doi: 10.1109/ETFA.2018.8502472
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2018 | Konferenz - Beitrag | ELSA-ID: 2007
Holst C-A, Lohweg V. A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion. In: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy; 2018. doi:10.1109/ETFA.2018.8502571
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2018 | Konferenz - Beitrag | ELSA-ID: 2008
Dörksen H, Lohweg V. Multivariate Gaussian Feature Selection. . In: European Conference on Data Analysis (ECDA2018). Paderborn, Germany; 2018.
ELSA
2018 | Sammelwerk - Beitrag | ELSA-ID: 4178 |
Wöhler M, Blum A, Bringewatt W, et al. Pilotprojekte. In: Trächtler A, ed. Ressourceneffiziente Selbstoptimierende Wäscherei. Intelligente Technische Systeme – Lösungen aus dem Spitzencluster it’s OWL. Berlin: Springer; 2018:105-158. doi:10.1007/978-3-662-56390-8_4
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2018 | Sammelwerk - Beitrag | ELSA-ID: 4179 |
Kummert F, Albers AA, Bremer C, et al. Eingesetzte wissenschaftliche Methoden. In: Trächtler A, ed. Ressourceneffiziente Selbstoptimierende Wäscherei. Intelligente Technische Systeme – Lösungen aus dem Spitzencluster it’s OWL. Berlin: Springer; 2018:41-104.
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2018 | Konferenz - Beitrag | ELSA-ID: 4180 |
Besginow A, Büttner S, Röcker C. Intelligent Adaptive Assistance Systems in an Industrial Context – Overview of Use Cases and Features. In: 5. Workshop Zu Smart Factories: Mitarbeiter-Zentrierte Informationssysteme Für Die Zusammenarbeit Der Zukunft, Mensch Und Computer 2018. Bonn: Gesellschaft für Informatik e.V.; 2018. doi:10.18420/muc2018-ws18-0533
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