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
8 papers · 1 filter
PGNAA Spectral Classification of Metal with Density Estimations
Helmand Shayan, Kai Krycki, Marco Doemeland +1
For environmental, sustainable economic and political reasons, recycling processes are becoming increasingly important, aiming at a much higher use of secondary raw materials. Curr…
Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design
Tanja Hernández Rodríguez, Anton Sekulic, Markus Lange-Hegermann +1
Development and optimization of biopharmaceutical production processes with cell cultures is cost- and time-consuming and often performed rather empirically. Efficient optimization…
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
Arthur Müller, Vishal Rangras, Georg Schnittker +7
Sub-optimal control policies in intersection traffic signal controllers (TSC) contribute to congestion and lead to negative effects on human health and the environment. Reinforceme…
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:…
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…
Wireless Interference Identification with Convolutional Neural Networks
Malte Schmidt, Dimitri Block, Uwe Meier
The steadily growing use of license-free frequency bands requires reliable coexistence management for deterministic medium utilization. For interference mitigation, proper wireless…