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Lehrstuhl für Technologien und Management der Digitalen Transformation


Herr Univ.-Prof. Dr.-Ing. Tobias Meisen

Publikationen

Referenzen

2019

Christian Hopmann; Sabina Jeschke; Tobias Meisen; Thomas Thiele; Hasan Tercan; Martin Liebenberg; Julian Heinisch; Matthias Theunissen
Combined learning processes for injection moulding based on simulation and experimental data
Proceedings of the 33rd International Conference of the Polymer Processing Society -- Conference Papers aus AIP Conference Proceedings
Herausgeber: AIP Publishing,
2019

Schlüsselwörter: research-industrial-deep-learning

Marc Haßler; Andreas Burgdorf; André Pomp; Christian Kohlschein; Christina Busing; Stephan Jonas
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment
2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom) , Seite 1--4.
Herausgeber: IEEE,
2019
ISBN: 978-1-7281-0402-7
Schirin Baer; Jupiter Bakakeu; Richard Meyes; Tobias Meisen
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems
2019 Second IEEE International Conference on Artificial Intelligence for Industries , Seite 22--25.
Herausgeber: IEEE Computer Society, Los Alamitos, CA
2019
ISBN: 978-1-7281-4087-2

Schlüsselwörter: research-industrial-deep-learning

2018

You Wang; Hasan Tercan; Torsten Hermanns; Thomas Thiele; Tobias Meisen; Sabina Jeschke; Wolfgang Schulz
Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process
Journal of ICT Standardization, :203--216
2018
Hasan Tercan; Alexandro Guajardo; Julian Heinisch; Thomas Thiele; Christian Hopmann; Tobias Meisen
Transfer-Learning: Bridging the Gap between Real and Simulation Data for Machine Learning in Injection Molding
Procedia CIRP, 72:185--190
2018
ISSN: 22128271

Schlüsselwörter: research-industrial-deep-learning

Christian Scheiderer; Tobias Meisen
Auf eigenen Füßen: Machine Learning in der Industrie
iX Special 2018 - Industrial Internet of Things, :48--51
2018
Richard Meyes; Hasan Tercan; Thomas Thiele; Alexander Krämer; Julian Heinisch; Martin Liebenberg; Gerhard Hirt; Christian Hopmann; Gerhard Lakemeyer; Tobias Meisen; Sabina Jeschke
Interdisciplinary Data Driven Production Process Analysis for the Internet of Production
Procedia Manufacturing, 26:1065--1076
2018
ISSN: 2351-9789

Schlüsselwörter: research-industrial-deep-learning

Thomas Otte; Nora Metzner; Johannes Lipp; Max Schwienhorst; Alexia Fenollar Solvay; Tobias Meisen
User-centered Integration of Automated Air Mobility into Urban Transportation Networks
2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), :1--10
2018
Alexander Paulus; André Pomp; Lucian Poth; Johannes Lipp; Tobias Meisen
Gathering and Combining Semantic Concepts from Multiple Knowledge Bases
ICEIS 2018, 1:69--80
2018

Schlüsselwörter: kgbdm;research-semantic-systems

Bemerkung: Gewinn des Best Paper Awards auf der ICEIS 2018

André Pomp; Alexander Paulus; Daniel Klischies; Christian Schwier; Tobias Meisen
A Web-based UI to Enable Semantic Modeling for Everyone
Procedia Computer Science, (137):249--254
2018
ISSN: 18770509

Schlüsselwörter: research-semantic-systems

André Pomp; Alexander Paulus; Andreas Kirmse; Vadim Kraus; Tobias Meisen
Applying Semantics to Reduce the Time to Analytics within Complex Heterogeneous Infrastructures
Technologies, 6(3):86
2018
ISSN: 2227-7080

Schlüsselwörter: kgbdm;research-semantic-systems

André Pomp; Alexander Paulus; Sabina Jeschke; Tobias Meisen
Enabling Semantics in Enterprises
ICEIS 2017: Enterprise Information Systems, :428--450
2018

Schlüsselwörter: kgbdm;research-semantic-systems

Richard Meyes; Christian Scheiderer; Thomas Thiele; Tobias Meisen
Selbstlernende adaptive Robotersteuerung: Kontinuierliche Bewegungsplanung für Industrieroboter auf Basis von Sensordaten
Fabriksoftware, 2018(2):42--44
2018
ISSN: 25697692
Richard Meyes; Christian Scheiderer; Tobias Meisen
Continuous Motion Planning for Industrial Robots based on Direct Sensory Input
Procedia CIRP, 72:291--296
2018
ISSN: 22128271

Schlüsselwörter: research-industrial-deep-learning

Daniel Luetticke; Tobias Meisen
Design of an Automated Measuring System for RFID Transponders in Complex Environments
2018 IEEE International Conference on RFID Technology & Application (RFID-TA),
2018
Peter Lillian; Richard Meyes; Tobias Meisen
Ablation of a Robot's Brain: Neural Networks Under a Knife
arXiv arXiv:1812.05687,
2018

Schlüsselwörter: research-interpretable-learning

Andreas Kirmse; Vadim Kraus; Max Hoffmann; Tobias Meisen
An Architecture for Efficient Integration and Harmonization of Heterogeneous , Distributed Data Sources Enabling Big Data Analytics
ICEIS 2018, 1:175--182
2018

Schlüsselwörter: research-semantic-systems

Christian Kohlschein; Daniel Klischies; Alexander Paulus; Andreas Burgdorf; Tobias Meisen; Markus Kipp
An Extensible Semantic Search Engine for Biomedical Publications
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom),
2018
Christian Kohlschein; Daniel Klischies; Tobias Meisen; Björn W. Schuller; Cornelius J. Werner
Automatic Processing of Clinical Aphasia Data Collected During Diagnosis Sessions: Challenges and Prospects
Proceedings of resources and processing of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments (RaPID-2 2018), satellite of the 11th Language Resources and Evaluation Conference (LREC 2,
2018
Jifei Ou; Zhao Ma; Jannik Peters; Sen Dai; Nikolaos Vlavianos; Hiroshi Ishii
KinetiX - designing auxetic-inspired deformable material structures
Computers & Graphics, 75:72--81
2018
ISSN: 0097-8493
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