フォロー
Peter Reimann
Peter Reimann
Research Group Leader, University of Stuttgart - GSaME, Germany
確認したメール アドレス: gsame.uni-stuttgart.de
タイトル
引用先
引用先
Overview on hybrid approaches to fault detection and diagnosis: Combining data-driven, physics-based and knowledge-based models
Y Wilhelm, P Reimann, W Gauchel, B Mitschang
Procedia CIRP 99, 278-283, 2021
852021
SIMPL–A Framework for Accessing External Data in Simulation Workflows
P Reimann, M Reiter, H Schwarz, D Karastoyanova, F Leymann
Datenbanksysteme für Business, Technologie und Web (BTW), 2011
482011
Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products
V Hirsch, P Reimann, B Mitschang
2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019
362019
A framework to guide the selection and configuration of machine-learning-based data analytics solutions in manufacturing
AGV Zacarias, P Reimann, B Mitschang
Procedia CIRP 72, 153-158, 2018
332018
Analytical Approach to Support Fault Diagnosis and Quality Control in End-Of-Line Testing
V Hirsch, P Reimann, O Kirn, B Mitschang
Procedia CIRP 72, 1333-1338, 2018
272018
Application Fields and Research Gaps of Process Mining in Manufacturing Companies
S Dreher, P Reimann, C Gröger
INFORMATIK 2020, 2021
262021
Data Science Approaches to Quality Control in Manufacturing: A Review of Problems, Challenges and Architecture
Y Wilhelm, U Schreier, P Reimann, B Mitschang, H Ziekow
Springer Proceedings Series Communications in Computer and Information …, 2020
232020
Exploiting Domain Knowledge to Address Multi-Class Imbalance and a Heterogeneous Feature Space in Classification Tasks for Manufacturing Data
V Hirsch, P Reimann, B Mitschang
Proceedings of the 46th International Conference on Very Large Databases …, 2020
192020
A Real-World Application of Process Mining for Data-Driven Analysis of Multi-Level Interlinked Manufacturing Processes
A Birk, Y Wilhelm, S Dreher, C Flack, P Reimann, C Gröger
Procedia CIRP 104, 417-422, 2021
182021
A New Process Model for the Comprehensive Management of Machine Learning Models.
C Weber, P Hirmer, P Reimann, H Schwarz
ICEIS (1), 415-422, 2019
182019
Extended Techniques for Flexible Modeling and Execution of Data Mashups.
P Hirmer, P Reimann, M Wieland, B Mitschang
DATA, 111-122, 2015
182015
A model management platform for industry 4.0–enabling management of machine learning models in manufacturing environments
C Weber, P Hirmer, P Reimann
Business Information Systems: 23rd International Conference, BIS 2020 …, 2020
172020
A Graph-based Approach to Manage CAE Data in a Data Lake
J Ziegler, P Reimann, F Keller, B Mitschang
Procedia CIRP 93, 496-501, 2020
152020
MMP-A Platform to Manage Machine Learning Models in Industry 4.0 Environments
C Weber, P Reimann
2020 IEEE 24th International Enterprise Distributed Object Computing …, 2020
142020
Event-driven business process management in Engineer-to-Order supply chains
J Minguez, S Zor, P Reimann
Proceedings of the 2011 15th International Conference on Computer Supported …, 2011
142011
A pattern approach to conquer the data complexity in simulation workflow design
P Reimann, H Schwarz, B Mitschang
OTM Confederated International Conferences" On the Move to Meaningful …, 2014
132014
Design, implementation, and evaluation of a tight integration of database and workflow engines
P Reimann, H Schwarz, B Mitschang
Journal of Information and Data Management 2 (3), 353, 2011
132011
A Digital Twin Approach for the Prediction of the Geometry of Single Tracks Produced by Laser Metal Deposition
F Hermann, B Chen, G Ghasemi, V Stegmaier, T Ackermann, P Reimann, ...
Procedia CIRP 107, 83-88, 2022
112022
Konzepte zur Datenverarbeitung in Referenzarchitekturen für Industrie 4.0: Konsequenzen bei der Umsetzung einer IT-Architektur
C Weber, M Wieland, P Reimann
Datenbank-Spektrum 18, 39-50, 2018
112018
Data patterns to alleviate the design of scientific workflows exemplified by a bone simulation
P Reimann, H Schwarz, B Mitschang
Proceedings of the 26th International Conference on Scientific and …, 2014
112014
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