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.
3 Publikationen
2020 | Konferenzband - Beitrag | ELSA-ID: 12812
Berns, Fabian, Markus Lange-Hegermann und Christian Beecks. 2020. Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0. Hg. von H. Panetto, K. Madani, und A. Smirnov. Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics IN4PL - Volume 1. SCITEPRESS - Science and Technology Publications. doi:10.5220/0010130300870092, .
ELSA
| DOI
2019 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 12808
Li, Peng und Oliver Niggemann. 2019. Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence 87. doi:10.1016/j.engappai.2019.103301, .
ELSA
| DOI
| WoS
2015 | Konferenz - Beitrag | ELSA-ID: 2167 | 
Niggemann, Oliver und Volker Lohweg. 2015. On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA.
ELSA
| Download (ext.)