170 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institute of Electronics, Computer and Telecommunication EngineeringIT4 papers
- National Research CouncilLK4 papers
- Fraunhofer-GesellschaftDE2 papers
- Fraunhofer Institute of Optronics, System Technologies and Image ExploitationDE2 papers
- Politecnico di TorinoIT2 papers
- TH Köln - University of Applied SciencesDE2 papers
- Aachen Institute for Nuclear TrainingDE1 paper
- Joint Institute for Nuclear ResearchRU1 paper
- Kreiskrankenhaus GummersbachDE1 paper
- Marmara UniversityTR1 paper
- Peoples' Friendship University of RussiaRU1 paper
- Phoenix Contact (Germany)DE1 paper
6 papers · 1 filter
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems
Jan Strohschein, Andreas Fischbach, Andreas Bunte +3
This paper presents the cognitive module of the cognitive architecture for artificial intelligence (CAAI) in cyber-physical production systems (CPPS). The goal of this architecture…
LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems
Benedikt Eiteneuer, Oliver Niggemann
Anomaly detection is the task of detecting data which differs from the normal behaviour of a system in a given context. In order to approach this problem, data-driven models can be…
A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata
Nemanja Hranisavljevic, Oliver Niggemann, Alexander Maier
Performing anomaly detection in hybrid systems is a challenging task since it requires analysis of timing behavior and mutual dependencies of both discrete and continuous signals.…
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder
Benedikt Eiteneuer, Nemanja Hranisavljevic, Oliver Niggemann
Unsupervised anomaly detection (AD) is a major topic in the field of Cyber-Physical Production Systems (CPPSs). A closely related concern is dimensionality reduction (DR) which is:…
CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems
Andreas Fischbach, Jan Strohschein, Andreas Bunte +4
This paper introduces CAAI, a novel cognitive architecture for artificial intelligence in cyber-physical production systems. The goal of the architecture is to reduce the implement…
Linearly Constrained Gaussian Processes with Boundary Conditions
Markus Lange-Hegermann
One goal in Bayesian machine learning is to encode prior knowledge into prior distributions, to model data efficiently. We consider prior knowledge from systems of linear partial d…