Please note that ELSA no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
796 Publikationen
2019 | Konferenz - Beitrag | ELSA-ID: 4761
Lang, Dorota, et al. “Utilization of the Asset Administration Shell to Support Humans During the Maintenance Process.” 17th International Conference on Industrial Informatics (IEEE-INDIN 2019), edited by Aalto-Yliopisto et al., IEEE, 2019, pp. 768–73, https://doi.org/10.1109/indin41052.2019.8972236.
ELSA
| DOI
2019 | Konferenz - Beitrag | ELSA-ID: 4762
Panda, Santosh Kumar, et al. “Topology Detection as a Base for Efficient Management of Heterogeneous Industrial Network Systems Using Software-Defined Networking.” IEEE Workshop on Factory Communication Systems 2019, IEEE, 2019, p. 8.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4763
Jasperneite, Jürgen. “Auf Ewig Verbunden – Was Ist Der Digitale Zwilling? .” Vortrag, 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4764
Ehrlich, Marco, et al. “Quality-of-Service Monitoring of Hybrid Industrial Communication Networks.” At - Automatisierungstechnik 67 (1), Special Issue: Methods for a Reliable Wireless Communication in the Industry, De Gruyter, 2019, pp. 69–78.
ELSA
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
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
2019 | Zeitschriftenaufsatz | ELSA-ID: 4784
Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.” ArXiv E-Prints, 2019.
ELSA
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
2019 | Konferenz - Beitrag | ELSA-ID: 4800
Sehr, Philip, and Natalia Moriz. “Partitioning Manual Assembly Workstations for Flexible Manufacturing.” Proceedings 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2019.
ELSA
2019 | Konferenz - Beitrag | ELSA-ID: 4801
Sehr, Philip, et al. “Ansätze für Komplexitätsreduktion in manuellen Montageprozessen.” AUTOMATION 2019: Autonomous Systems and 5G in Connected Industries, VDI, 2019, pp. 671–82.
ELSA
2019 | Konferenzband - Beitrag | ELSA-ID: 12803
Wunderlich, Paul, and Nemanja Hranisavljevic. “Comparison of Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction.” 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), edited by Aalto University, Finland et al., IEEE, 2019, pp. 1285–90, https://doi.org/10.1109/indin41052.2019.8972251.
ELSA
| DOI
2019 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12808
Li, Peng, and Oliver Niggemann. “Non-Convex Hull Based Anomaly Detection in CPPS.” Engineering Applications of Artificial Intelligence, vol. 87, 103301, 2019, https://doi.org/10.1016/j.engappai.2019.103301.
ELSA
| DOI
| WoS
2019 | Konferenzband - Beitrag | ELSA-ID: 12826
Zimmermann, Patrick, et al. “Skill-Based Engineering and Control on Field-Device-Level with OPC UA.” 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE International Conference on Emerging Technologies and Factory Automation et al., IEEE, 2019, pp. 1101–08, https://doi.org/10.1109/etfa.2019.8869473.
ELSA
| DOI
2019 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12834
Wan, Jiafu, et al. “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory.” IEEE Transactions on Industrial Informatics, vol. 16, no. 9, 2019, pp. 6059–68, https://doi.org/10.1109/tii.2019.2952669.
ELSA
| DOI
| WoS
2018 | Konferenz - Beitrag | ELSA-ID: 2004 |
Pfeifer, Anton, and Volker Lohweg. “Identifying Characteristic Gait Patterns in Real-World Scenarios.” 28. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), KIT Scientific Publishing, Karlsruhe, 2018, pp. 279–95, doi:10.5445/KSP/1000085935.
ELSA
| DOI
| Download (ext.)
2018 | Konferenz - Beitrag | ELSA-ID: 2005 |
Dörksen, Helene, and Volker Lohweg. “Linear Classification of Badly Conditioned Data. .” 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018, doi:10.1109/ETFA.2018.8502485.
ELSA
| DOI
| Download (ext.)
2018 | Konferenz - Beitrag | ELSA-ID: 2006
Bator, Martyna, et al. “Feature Extraction for a Conditioning Monitoring System in a Bottling Process.” 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018, https://doi.org/ 10.1109/ETFA.2018.8502472.
ELSA
| DOI
| Download (ext.)
2018 | Konferenz - Beitrag | ELSA-ID: 2007
Holst, Christoph-Alexander, and Volker Lohweg. “A Conflict-Based Drift Detection And Adaptation Approach for Multisensor Information Fusion.” 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018, doi:10.1109/ETFA.2018.8502571.
ELSA
| DOI
| Download (ext.)
2018 | Konferenz - Beitrag | ELSA-ID: 2008
Dörksen, Helene, and Volker Lohweg. “Multivariate Gaussian Feature Selection. .” European Conference on Data Analysis (ECDA2018), 2018.
ELSA
2018 | Konferenz - Beitrag | ELSA-ID: 2009 |
Holst, Christoph-Alexander, and Volker Lohweg. “Supporting Sensor Orchestration in Non-Stationary Environments.” ACM International Conference on Computing Frontiers 2018, New York, NY , 2018, pp. 363–70, doi:10.1145/3203217.3203228.
ELSA
| DOI
| Download (ext.)