Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2021Activation Anomaly Analysis
Sperl, Philip; Schulze, Jan-Philipp; Böttinger, Konstantin
Conference Paper
2021Autoencoder-based Anomaly Root Cause Analysis for Wind Turbines
Roelofs, Cyriana; Lutz, Marc-Alexander; Faulstich, Stefan; Vogt, Stephan
Journal Article
2021Follow the trail: Machine learning for fraud detection in Fintech applications
Stojanović, Branka; Božić, Josip; Hofer-Schmitz, Katharina; Nahrgang, Kai; Weber, Andreas; Badii, Atta; Sundaram, Maheshkumar; Jordan, Elliot; Runevic, Joel
Journal Article
2021Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods
Zimmering, Bernd; Niggemann, Oliver; Hasterok, Constanze; Pfannstiel, Erik; Ramming, Dario; Pfrommer, Julius
Journal Article
2020Continuous fields: Enhanced in-vehicle anomaly detection using machine learning models
Fenzl, Florian; Rieke, Roland; Chevalier, Y.; Dominik, A.; Kotenko, I.
Journal Article
2020Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines
Hranisavljevic, Nemanja; Maier, Alexander; Niggemann, Oliver
Journal Article
2020ECU-Secure: Characteristic Functions for In-Vehicle Intrusion Detection
Chevalier, Yannick; Rieke, Roland; Fenzl, Florian; Chechulin, Andrey; Kotenko, Igor
Conference Paper
2020Towards detection of thermal anomalies in large urban areas using simulation
Burkard, Eva; Bulatov, Dimitri; Kottler, Benedikt
Conference Paper
2019Business Analytics on AIS Data: Potentials, Limitations and Perspectives
Scheidweiler, Tina; Jahn, Carlos
Conference Paper
2019Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy
Schulze, Jan-Philipp; Mrowca, Artur; Ren, Elizabeth; Loeliger, Hans-Andrea; Böttinger, Konstantin
Conference Paper
2019Edge-computing enhanced privacy protection for industrial ecosystems in the context of SMEs
Giehl, Alexander; Schneider, Peter; Busch, Maximilian; Schnoes, Florian; Kleinwort, Robin; Zaeh, Michael F.
Conference Paper
2019Enhancing MASS Navigation using Machine Learning
Scheidweiler, Tina
Presentation
2019Local anomaly detection analysis in distribution grid based on IEC 61850-9-2 LE SV voltage signals
Rösch, Dennis; Ruhe, Stefan; Schäfer, Kevin; Nicolai, Steffen
Conference Paper
2019Melt Pool Monitoring using Fuzzy Based Anomaly Detection in Laser Beam Melting
Boos, Eugen; Schwarzenberger, Michael; Jaretzki, Martin; Wiemer, Hajo; Ihlenfeldt, Steffen
Conference Paper
2019Web-based Machine Learning Platform for Condition-Monitoring
Bernard, Thomas; Kühnert, Christian; Campbell, Enrique
Conference Paper
2018A geometric approach to clustering based anomaly detection for industrial applications
Li, Peng; Niggemann, Oliver; Hammer, Barbara
Conference Paper
2018Sichere Prozesse für moderne Geschäftsmodelle
Giehl, Alexander; Schneider, Peter
Journal Article
2017Anomaly detection in industrial networks using machine learning: A roadmap
Meshram, A.; Haas, Christian
Conference Paper
2017Gaussian mixture trees for one class classification in automated visual inspection
Richter, M.; Längle, Thomas; Beyerer, Jürgen
Conference Paper
2016Anomaly Detection using B-spline Control Points as Feature Space in Annotated Trajectory Data from the Maritime Domain
Anneken, Mathias; Fischer, Yvonne; Beyerer, Jürgen
Conference Paper
2016Big-data-driven anomaly detection in industry (4.0): An approach and a case study
Stojanovic, Ljiljana; Dinic, M.; Stojanovic, N.; Stojadinovic, A.
Conference Paper
2016Detection of conspicuous behavior in street traffic by using B-splines as feature vector
Anneken, M.; Fischer, Yvonne; Beyerer, Jürgen
Conference Paper
2015Data-driven anomaly detection in cyber-physical production systems
Niggemann, Oliver; Frey, Christian
Journal Article
2015Evaluation and comparison of anomaly detection algorithms in annotated datasets from the maritime domain
Anneken, Mathias; Fischer, Yvonne; Beyerer, Jürgen
Conference Paper
2015Using extensible metadata definitions to create a vendor-independent SIEM system
Detken, Kai-Oliver; Scheuermann, Dirk; Hellmann, Bastian
Conference Paper
2014On visual analytics in plant monitoring
Tack, Tim; Maier, Alexander; Niggemann, Oliver
Conference Paper
2010Unmixing and anomaly detection in hyperspectral data due to cluster variation and local information
Maerker, J.; Huber, J.; Middelmann, W.
Conference Paper
1995Neuronale Strukturen zur sichtgestützten Oberflächeninspektion von Objekten in industrieller Umgebung
König, A.
Dissertation