Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB | Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
|---|---|---|
| 2024 | The role of an ontology-based knowledge backbone in a circular factory Hofmann, Constantin; Staab, Steffen; Selzer, Michael; Neumann, Gerhard; Furmans, Kai; Heizmann, Michael; Beyerer, Jürgen; Lanza, Gisela; Pfrommer, Julius; Düser, Tobias; Klein, Jan-Felix |
Zeitschriftenaufsatz Journal Article |
| 2024 | Self-learning and autonomously adapting manufacturing equipment for the circular factory Fleischer, Jürgen; Zanger, Frederik; Schulze, Volker; Neumann, Gerhard; Stricker, Nicole; Furmans, Kai; Pfrommer, Julius; Lanza, Gisela; Hansjosten, Malte; Fischmann, Patrick; Dvorak, Julia; Klein, Jan Felix; Rauscher, Felix; Ebner, Andreas; May, Marvin Carl; Gönnheimer, Philipp |
Zeitschriftenaufsatz Journal Article |
| 2024 | A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Wu, Chengzhi; Huang, Qianliang; Jin, Xingkun; Pfrommer, Julius; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2024 | Causal Structure Learning Using PCMCI+ and Path Constraints from Wavelet-Based Soft Interventions Rehak, Josephine; Falkenstein, Alexander; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2024 | Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach Wu, Chengzhi; Pfrommer, Julius; Zhou, Mingyuan; Beyerer, Jürgen |
Zeitschriftenaufsatz Journal Article |
| 2024 | A Query Language for OPC UA Event Filters Düwel, Florian; Ebner, Andreas; Pfrommer, Julius |
Konferenzbeitrag Conference Paper |
| 2024 | Intelligente Anlaufsteuerung für die Batteriezellenproduktion Goßmann, Ann-Kathrin; Li, Rui Yan; Poyer, Matthieu; Henschel, Sebastian; Fleischer, Jürgen; Pfrommer, Julius; Kampker, Achim; Hasterok, Constanze |
Zeitschriftenaufsatz Journal Article |
| 2024 | Distributed Planning for Self-Organizing Production Systems Pfrommer, Julius |
Dissertation Doctoral Thesis |
| 2024 | Professionelle Leitung von KI-Projekten in der Industrie - wie geht Systems Engineering mit KI? Pfrommer, Julius; Usländer, Thomas |
Internetbeitrag Internet Contribution |
| 2024 | Incorporating Causal Prior Knowledge into Deep Neural Networks Youssef, Shahenda |
Konferenzbeitrag Conference Paper |
| 2024 | Causal Representation Learning: A Quick Survey Döhner, Frank |
Konferenzbeitrag Conference Paper |
| 2024 | Bayesian Optimization of Immature Multi-Stage Processes Kiroriwal, Saksham |
Konferenzbeitrag Conference Paper |
| 2024 | Formal Process Maturity Measure Arabizadeh, Negar |
Konferenzbeitrag Conference Paper |
| 2024 | Root cause analysis using anomaly detection and temporal informed causal graphs Rehak, Josephine; Youssef, Shahenda; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2024 | Metrics for the evaluation of learned causal graphs based on ground truth Rehak, Josephine; Falkenstein, Alexander; Doehner, Frank; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2024 | 6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly Wu, Chengzhi; Fu, Hao; Kaiser, Jan-Philipp; Tabuchi Barczak, Erik; Pfrommer, Julius; Lanza, Gisela; Heizmann, Michael; Beyerer, Jürgen |
Zeitschriftenaufsatz Journal Article |
| 2024 | Retrofitting cyber-physical production systems with radio-based sensors and ML Kühnert, Christian; Wallner, Steffen; Wessels, Lars; Wunsch, Andreas; Ziebarth, Mathias |
Konferenzbeitrag Conference Paper |
| 2023 | SynMotor: A Benchmark Suite for Object Attribute Regression and
Multi-task Learning Wu, Chengzhi; Qiu, Linxi; Zhou, Kanran; Pfrommer, Julius; Beyerer, Jürgen |
Paper |
| 2023 | Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input Wu, Chengzhi; Pfrommer, Julius; Zhou, Mingyuan; Beyerer, Jürgen |
Paper |
| 2023 | Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding Wu, Chengzhi; Pfrommer, Julius; Beyerer, Jürgen; Li, Kangning; Neubert, Boris |
Paper |
| 2023 | Vor-Ort-Systeme als flexibler Baustein im Energiesystem Flemming, Sebastian; Bender, Tom; Surmann, Arne; Pelka, Sabine; Martin, Arne; Kühnbach, Matthias |
Studie Study |
| 2023 | Multi-target regression and cross-validation for non-isothermal glass molding experiments with small sample sizes Mende, Hendrik; Kiroriwal, Saksham; Pfrommer, Julius; Schmitt, Robert H.; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2023 | Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs Rehak, Josephine; Sommer, Anouk; Becker, Maximilian; Pfrommer, Julius; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2023 | Attention-based Point Cloud Edge Sampling Wu, Chengzhi; Zheng, Junwei; Pfrommer, Julius; Beyerer, Jürgen |
Paper |
| 2023 | Constraint-based Causal Discovery by using Path Constraints gained from Signal Injection and Recovery Rehak, Josephine |
Konferenzbeitrag Conference Paper |
| 2023 | SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning Wu, Chengzhi; Qiu, Linxi; Zhou, Kanran; Pfrommer, Julius; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2023 | Attention-based Part Assembly for 3D Volumetric Shape Modeling Wu, Chengzhi; Zheng, Junwei; Pfrommer, Julius; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2023 | Dynamische Wertschöpfungsnetzwerke basierend auf Industrie 4.0-Technologien zur nachhaltigen Sicherheits- und Betriebsoptimierung von Wassersystemen Bernard, Thomas; Ziebarth, Mathias; Gonuguntla, Naga Mamatha; Wessels, Lars; Wiese, Susanne; Keifenheim, Heiko; Canzler, Armin; Deuerlein, Jochen; Parra, Salomé; Rapp, Joachim; Glaser, Holger; Broecker, Tabea; Sperlich, Alexander; Gnirß, Regina |
Bericht Report |
| 2023 | Reduce the Handicap: Performance Estimation for AI Systems Safety Certification Pfrommer, Julius; Poyer, Matthieu; Kiroriwal, Saksham |
Konferenzbeitrag Conference Paper |
| 2023 | Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems Rueden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Walczak, Michal; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Garcke, Jochen; Bauckhage, Christian; Schuecker, Jannis |
Zeitschriftenaufsatz Journal Article |
| 2023 | Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly Wu, Chengzhi; Bi, Xuelei; Pfrommer, Julius; Cebulla, Alexander; Mangold, Simon; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2023 | Attention-Based Point Cloud Edge Sampling Wu, Chengzhi; Zheng, Junwei; Pfrommer, Julius; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2022 | Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage Lanza, Gisela; Asfour, Tamim; Beyerer, Jürgen; Deml, Barbara; Fleischer, Jürgen; Heizmann, Michael; Furmans, Kai; Hofmann, Constantin; Cebulla, Alexander; Dreher, Christian; Kaiser, Jan-Philipp; Klein, Jan-Felix; Leven, Fabian; Mangold, Simon; Mitschke, Norbert; Stricker, Nicole; Pfrommer, Julius; Wu, Chengzhi; Wurster, Marco; Zaremski, Manuel |
Zeitschriftenaufsatz Journal Article |
| 2022 | KI-Engineering - AI Systems Engineering Pfrommer, Julius; Usländer, Thomas; Beyerer, Jürgen |
Zeitschriftenaufsatz Journal Article |
| 2022 | AI Systems Engineering - systematic development and operation of AI-based systems Beyerer, Jürgen; Pfrommer, Julius; Usländer, Thomas |
Editorial |
| 2022 | MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors Wu, Chengzhi; Zhou, Kanran; Kaiser, Jan-Philipp; Mitschke, Norbert; Klein, Jan-Felix; Pfrommer, Julius; Beyerer, Jürgen; Lanza, Gisela; Heizmann, Michael; Furmans, Kai |
Zeitschriftenaufsatz Journal Article |
| 2022 | A Review on Approaches for Causal Structure Identification Rehak, Josephine |
Konferenzbeitrag Conference Paper |
| 2022 | Entwicklung einer autonomen Elektrodenbeschichtung Denk, Florian; Hoffmann, Alex; Höger, Katja; Pfrommer, Julius; Poyer, Matthieu; Scharfer, Philip; Spiegel, Sandro; Fleischer, Jürgen; Lanza, Giesela; Schabel, Wilhelm |
Zeitschriftenaufsatz Journal Article |
| 2022 | PFDL: A Production Flow Description Language for an Order-Controlled Production Detzner, Peter; Ebner, Andreas; Hörstrup, Maximilian; Kerner, Sören |
Konferenzbeitrag Conference Paper |
| 2022 | An ontology for remanufacturing systems Pfrommer, Julius; Klein, Jan-Felix; Wurster, Marco; Rapp, Simon; Grauberger, Patric; Lanza, Gisela; Albers, Albert; Matthiesen, Sven; Beyerer, Jürgen |
Zeitschriftenaufsatz Journal Article |
| 2022 | SWAP-IT: A Scalable and Lightweight Industry 4.0 Architecture for Cyber-Physical Production Systems Lünsch, Dennis; Detzner, Peter; Ebner, Andreas; Kerner, Sören |
Konferenzbeitrag Conference Paper |
| 2022 | PAISE® - process model for AI systems engineering Hasterok, Constanze; Stompe, Janina |
Zeitschriftenaufsatz Journal Article |
| 2021 | Eigenständige Überwachung der Modellvalidität Hasterok, Constanze; Hamman, Gerhard; Fleischer, Jürgen |
Zeitschriftenaufsatz Journal Article |
| 2021 | A Proposal on Discovering Causal Structures in Technical Systems by Means of Interventions Rehak, Josephine |
Konferenzbeitrag Conference Paper |
| 2021 | Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods Zimmering, Bernd; Niggemann, Oliver; Hasterok, Constanze; Pfannstiel, Erik; Ramming, Dario; Pfrommer, Julius |
Zeitschriftenaufsatz Journal Article |
| 2021 | Microgrid Systems: Towards a Technical Performance Assessment Frame Marchand, Sophie; Monsalve, Cristian; Reimann, Thorsten; Heckmann, Wolfram; Ungerland, Jakob; Lauer, Hagen; Ruhe, Stephan; Krauß, Christoph |
Zeitschriftenaufsatz Journal Article |
| 2020 | Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding Wu, Chengzhi; Pfrommer, Julius; Beyerer, Jürgen; Li, Kangning; Neubert, Boris |
Konferenzbeitrag Conference Paper |
| 2020 | Open-Source Implementierung von OPC UA PubSub für echtzeitfähige Kommunikation mit Time-Sensitive Networking Pfrommer, Julius; Usländer, Thomas |
Konferenzbeitrag Conference Paper |
| 2020 | ML4P - Ein Standard-Vorgehensmodell für die Anwendung Maschinellen Lernens in der industriellen Produktion Pfrommer, Julius; Frey, Christian; Wessels, Lars; Beyerer, Jürgen |
Konferenzbeitrag Conference Paper |
| 2019 | Informed Machine Learning - A Taxonomy and Survey of Integrating Knowledge into Learning Systems Rüden, Laura von; Mayer, Sebastian; Beckh, Katharina; Georgiev, Bogdan; Giesselbach, Sven; Heese, Raoul; Kirsch, Birgit; Pfrommer, Julius; Pick, Annika; Ramamurthy, Rajkumar; Schuecker, Jannis; Garcke, Jochen; Bauckhage, Christian; Walczak, Michal |
Paper |
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This list has been generated from the publication platform Fraunhofer-Publica