Tobias Meisen
Tobias Meisen
Bergische Universität Wuppertal, previously RWTH Aachen University
Verified email at - Homepage
Cited by
Cited by
Industrial internet of things and cyber manufacturing systems
S Jeschke, C Brecher, T Meisen, D Özdemir, T Eschert
Industrial internet of things, 3-19, 2017
Towards an infrastructure enabling the internet of production
J Pennekamp, R Glebke, M Henze, T Meisen, C Quix, R Hai, L Gleim, ...
2019 IEEE International Conference on Industrial Cyber Physical Systems …, 2019
Transfer-learning: Bridging the gap between real and simulation data for machine learning in injection molding
H Tercan, A Guajardo, J Heinisch, T Thiele, C Hopmann, T Meisen
Procedia Cirp 72, 185-190, 2018
Efficient similarity search using the earth mover's distance for large multimedia databases
I Assent, M Wichterich, T Meisen, T Seidl
2008 IEEE 24th International Conference on Data Engineering, 307-316, 2008
Ablation studies in artificial neural networks
R Meyes, M Lu, CW de Puiseau, T Meisen
arXiv preprint arXiv:1901.08644, 2019
Motion planning for industrial robots using reinforcement learning
R Meyes, H Tercan, S Roggendorf, T Thiele, C Büscher, M Obdenbusch, ...
Procedia CIRP 63, 107-112, 2017
Continuous integration of field level production data into top-level information systems using the OPC interface standard
M Hoffmann, C Büscher, T Meisen, S Jeschke
Procedia Cirp 41, 496-501, 2016
Shifting virtual reality education to the next level–Experiencing remote laboratories through mixed reality
M Hoffmann, T Meisen, S Jeschke
Engineering Education 4.0, 235-249, 2016
Where to park? predicting free parking spots in unmonitored city areas
A Ionita, A Pomp, M Cochez, T Meisen, S Decker
Proceedings of the 8th International Conference on Web Intelligence, Mining …, 2018
Applying semantics to reduce the time to analytics within complex heterogeneous infrastructures
A Pomp, A Paulus, A Kirmse, V Kraus, T Meisen
Technologies 6 (3), 86, 2018
Improving the laser cutting process design by machine learning techniques
H Tercan, TA Khawli, U Eppelt, C Büscher, T Meisen, S Jeschke
Production Engineering 11 (2), 195-203, 2017
Semantic integration of multi-agent systems using an OPC UA information modeling approach
M Hoffmann, P Thomas, D Schütz, B Vogel-Heuser, T Meisen, S Jeschke
2016 IEEE 14th international conference on industrial informatics (INDIN …, 2016
How will the Internet of Things and big data analytics impact the education of learning-disabled students? A Concept Paper
L Lenz, A Pomp, T Meisen, S Jeschke
2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), 1-7, 2016
Virtual production intelligence–a contribution to the digital factory
R Reinhard, C Büscher, T Meisen, D Schilberg, S Jeschke
International Conference on Intelligent Robotics and Applications, 706-715, 2012
Adaptive information integration: Bridging the semantic gap between numerical simulations
T Meisen, P Meisen, D Schilberg, S Jeschke
International Conference on Enterprise Information Systems, 51-65, 2011
Engineering education 4.0
S Frerich, T Meisen, A Richert, M Petermann, S Jeschke, U Wilkesmann, ...
Cham: Springer International Publishing. https://doi. org/10.1007/978-3-319 …, 2016
An agile information processing framework for high pressure die casting applications in modern manufacturing systems
M Rix, B Kujat, T Meisen, S Jeschke
Procedia CIRP 41, 1084-1089, 2016
A framework enabling data integration for virtual production
R Reinhard, T Meisen, T Beer, D Schilberg, S Jeschke
Enabling Manufacturing Competitiveness and Economic Sustainability, 275-280, 2012
Industrial transfer learning: Boosting machine learning in production
H Tercan, A Guajardo, T Meisen
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
Eskape: Information platform for enabling semantic data processing
A Pomp, A Paulus, S Jeschke, T Meisen
International Conference on Enterprise Information Systems 2, 644-655, 2017
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