5 Publikationen

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[5]
2019 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12808
Li, Peng, and Oliver Niggemann. “Non-Convex Hull Based Anomaly Detection in CPPS.” Engineering Applications of Artificial Intelligence 87 (2019). https://doi.org/10.1016/j.engappai.2019.103301.
ELSA | DOI | WoS
 
[4]
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski, Antje Rogalla, and Oliver Niggemann. “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
 
[3]
2019 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12834
Wan, Jiafu, Jun Yang, Shiyong Wang, Di Li, Peng Li, and Min Xia. “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory.” IEEE Transactions on Industrial Informatics 16, no. 9 (2019): 6059–68. https://doi.org/10.1109/tii.2019.2952669.
ELSA | DOI | WoS
 
[2]
2018 | Konferenz - Beitrag | ELSA-ID: 4788
Bunte, Andreas, Peng Li, and Oliver Niggemann. “Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach.” In International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS, 2018.
ELSA
 
[1]
2017 | Konferenz - Beitrag | ELSA-ID: 4789
Bunte, Andreas, Peng Li, and Oliver Niggemann. “Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.” In 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.
ELSA
 

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5 Publikationen

Alle markieren

[5]
2019 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12808
Li, Peng, and Oliver Niggemann. “Non-Convex Hull Based Anomaly Detection in CPPS.” Engineering Applications of Artificial Intelligence 87 (2019). https://doi.org/10.1016/j.engappai.2019.103301.
ELSA | DOI | WoS
 
[4]
2019 | Konferenz - Beitrag | ELSA-ID: 4780
Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski, Antje Rogalla, and Oliver Niggemann. “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
 
[3]
2019 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12834
Wan, Jiafu, Jun Yang, Shiyong Wang, Di Li, Peng Li, and Min Xia. “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory.” IEEE Transactions on Industrial Informatics 16, no. 9 (2019): 6059–68. https://doi.org/10.1109/tii.2019.2952669.
ELSA | DOI | WoS
 
[2]
2018 | Konferenz - Beitrag | ELSA-ID: 4788
Bunte, Andreas, Peng Li, and Oliver Niggemann. “Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based Approach.” In International Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS, 2018.
ELSA
 
[1]
2017 | Konferenz - Beitrag | ELSA-ID: 4789
Bunte, Andreas, Peng Li, and Oliver Niggemann. “Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.” In 3rd Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.
ELSA
 

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Zitationsstil: Chicago (en)

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