20 Publikationen

Alle markieren

[20]
2021 | Konferenz - Beitrag | ELSA-ID: 4509
Bunte, Andreas, et al. “Why It Is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote It.” International Conference on Agents and Artificial Intelligence (ICAART), 2021.
ELSA
 
[19]
2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12800
Strohschein, Jan, et al. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology, vol. 115, no. 11–12, 2021, pp. 3513–32, https://doi.org/10.1007/s00170-021-07248-3.
ELSA | DOI | WoS
 
[18]
2020 | Konferenz - Beitrag | ELSA-ID: 4512
Geng, Christoph, et al. “Concept for Rule-Based Information Aggregation in Modular Production Plants.” KommA 2020 – Jahreskolloquium Kommunikation in Der Automation, 2020.
ELSA
 
[17]
2020 | Konferenz - Beitrag | ELSA-ID: 4513
Bunte, Andreas, et al. “Automated Detection of Production Cycles in Production Plants Using Machine Learning.” 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , 2020.
ELSA
 
[16]
2020 | Zeitschriftenaufsatz | ELSA-ID: 4518
Fischbach, Andreas, et al. “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology, vol. 111, no. 1/2, 2020, pp. 609–26, https://doi.org/10.1007/s00170-020-06094-z.
ELSA | DOI | WoS
 
[15]
2020 | Sammelwerk - Beitrag | ELSA-ID: 4786
Niggemann, Oliver, et al. “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion.” Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, edited by Michael ten Hompel et al., Springer, 2020, p. 800.
ELSA
 
[14]
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte, Andreas, et al. “Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS.” 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019.
ELSA
 
[13]
2019 | Konferenz - Beitrag | ELSA-ID: 4781
Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical Production Systems.” 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by Institute of Electrical and Electronics Engineers and Universidad de Zaragoza , IEEE, 2019, pp. 729–36, https://doi.org/10.1109/etfa.2019.8869038.
ELSA | DOI | WoS
 
[12]
2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.” ArXiv E-Prints, 2019.
ELSA
 
[11]
2019 | Konferenz - Beitrag | ELSA-ID: 4785
Bunte, Andreas, et al. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019.
ELSA
 
[10]
2018 | Konferenz - Beitrag | ELSA-ID: 4787
Bunte, Andreas, et al. “Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA.” 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018.
ELSA
 
[9]
2018 | Konferenz - Beitrag | ELSA-ID: 4788
Bunte, Andreas, et al. “Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach.” International Conference on Agents and Artificial Intelligence (ICAART), SCITEPRESS, 2018.
ELSA
 
[8]
2017 | Konferenz - Beitrag | ELSA-ID: 4789
Bunte, Andreas, et al. “Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.” 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.
ELSA
 
[7]
2016 | Konferenz - Beitrag | ELSA-ID: 4782
Bunte, Andreas, et al. “Natürlichsprachliche Schnittstelle Für Produktionssysteme.” Tagungsband Des Entwicklerforums “HMI – Komponenten Lösungen,” HMI, 2016.
ELSA | Download (ext.)
 
[6]
2016 | Konferenz - Beitrag | ELSA-ID: 4790
Bunte, Andreas, et al. “Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems.” International Workshop on the Principles of Diagnosis (DX), 2016.
ELSA
 
[5]
2016 | Konferenz - Beitrag | ELSA-ID: 4791
Bunte, Andreas, et al. “Integrating Semantics for Diagnosis of Manufacturing Systems.” 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2016.
ELSA
 
[4]
2016 | Sammelwerk - Beitrag | ELSA-ID: 4792
Niggemann, Oliver, et al. “Datenanalyse in Der Intelligenten Fabrik.” Handbuch Industrie 4.0 Bd. 2, edited by Birgit Vogel-Hauser et al., Springer Berlin Heidelberg, 2016.
ELSA | Download (ext.)
 
[3]
2015 | Konferenz - Beitrag | ELSA-ID: 4793
Diedrich, Alexander, et al. “Kognitive Architektur Zum Konzeptlernen in Technischen Systemen.” Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2015.
ELSA
 
[2]
2015 | Konferenz - Beitrag | ELSA-ID: 4794
Niggemann, Oliver, et al. “Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.” International Workshop on the Principles of Diagnosis (DX), 2015.
ELSA
 
[1]
2014 | Konferenz - Beitrag | ELSA-ID: 4795
Niggemann, Oliver, et al. “Using Learned Models for the Root Cause Analysis of Cyber-Physical Production Systems.” International Workshop on the Principles of Diagnosis (DX), Graz, Austria, 2014.
ELSA
 

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20 Publikationen

Alle markieren

[20]
2021 | Konferenz - Beitrag | ELSA-ID: 4509
Bunte, Andreas, et al. “Why It Is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote It.” International Conference on Agents and Artificial Intelligence (ICAART), 2021.
ELSA
 
[19]
2021 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12800
Strohschein, Jan, et al. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology, vol. 115, no. 11–12, 2021, pp. 3513–32, https://doi.org/10.1007/s00170-021-07248-3.
ELSA | DOI | WoS
 
[18]
2020 | Konferenz - Beitrag | ELSA-ID: 4512
Geng, Christoph, et al. “Concept for Rule-Based Information Aggregation in Modular Production Plants.” KommA 2020 – Jahreskolloquium Kommunikation in Der Automation, 2020.
ELSA
 
[17]
2020 | Konferenz - Beitrag | ELSA-ID: 4513
Bunte, Andreas, et al. “Automated Detection of Production Cycles in Production Plants Using Machine Learning.” 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , 2020.
ELSA
 
[16]
2020 | Zeitschriftenaufsatz | ELSA-ID: 4518
Fischbach, Andreas, et al. “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.” The International Journal of Advanced Manufacturing Technology, vol. 111, no. 1/2, 2020, pp. 609–26, https://doi.org/10.1007/s00170-020-06094-z.
ELSA | DOI | WoS
 
[15]
2020 | Sammelwerk - Beitrag | ELSA-ID: 4786
Niggemann, Oliver, et al. “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion.” Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, edited by Michael ten Hompel et al., Springer, 2020, p. 800.
ELSA
 
[14]
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte, Andreas, et al. “Why Symbolic AI Is a Key Technology for Self-Adaption in the Context of CPPS.” 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019.
ELSA
 
[13]
2019 | Konferenz - Beitrag | ELSA-ID: 4781
Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical Production Systems.” 24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by Institute of Electrical and Electronics Engineers and Universidad de Zaragoza , IEEE, 2019, pp. 729–36, https://doi.org/10.1109/etfa.2019.8869038.
ELSA | DOI | WoS
 
[12]
2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.” ArXiv E-Prints, 2019.
ELSA
 
[11]
2019 | Konferenz - Beitrag | ELSA-ID: 4785
Bunte, Andreas, et al. Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019.
ELSA
 
[10]
2018 | Konferenz - Beitrag | ELSA-ID: 4787
Bunte, Andreas, et al. “Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA.” 23th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018.
ELSA
 
[9]
2018 | Konferenz - Beitrag | ELSA-ID: 4788
Bunte, Andreas, et al. “Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach.” International Conference on Agents and Artificial Intelligence (ICAART), SCITEPRESS, 2018.
ELSA
 
[8]
2017 | Konferenz - Beitrag | ELSA-ID: 4789
Bunte, Andreas, et al. “Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.” 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.
ELSA
 
[7]
2016 | Konferenz - Beitrag | ELSA-ID: 4782
Bunte, Andreas, et al. “Natürlichsprachliche Schnittstelle Für Produktionssysteme.” Tagungsband Des Entwicklerforums “HMI – Komponenten Lösungen,” HMI, 2016.
ELSA | Download (ext.)
 
[6]
2016 | Konferenz - Beitrag | ELSA-ID: 4790
Bunte, Andreas, et al. “Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production Systems.” International Workshop on the Principles of Diagnosis (DX), 2016.
ELSA
 
[5]
2016 | Konferenz - Beitrag | ELSA-ID: 4791
Bunte, Andreas, et al. “Integrating Semantics for Diagnosis of Manufacturing Systems.” 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2016.
ELSA
 
[4]
2016 | Sammelwerk - Beitrag | ELSA-ID: 4792
Niggemann, Oliver, et al. “Datenanalyse in Der Intelligenten Fabrik.” Handbuch Industrie 4.0 Bd. 2, edited by Birgit Vogel-Hauser et al., Springer Berlin Heidelberg, 2016.
ELSA | Download (ext.)
 
[3]
2015 | Konferenz - Beitrag | ELSA-ID: 4793
Diedrich, Alexander, et al. “Kognitive Architektur Zum Konzeptlernen in Technischen Systemen.” Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2015.
ELSA
 
[2]
2015 | Konferenz - Beitrag | ELSA-ID: 4794
Niggemann, Oliver, et al. “Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.” International Workshop on the Principles of Diagnosis (DX), 2015.
ELSA
 
[1]
2014 | Konferenz - Beitrag | ELSA-ID: 4795
Niggemann, Oliver, et al. “Using Learned Models for the Root Cause Analysis of Cyber-Physical Production Systems.” International Workshop on the Principles of Diagnosis (DX), Graz, Austria, 2014.
ELSA
 

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: MLA

Export / Einbettung