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: Cybermanufacturing Systems, 3-19, 2017
Ablation studies in artificial neural networks
R Meyes, M Lu, CW de Puiseau, T Meisen
arXiv preprint arXiv:1901.08644, 2019
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
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
H Tercan, T Meisen
Journal of Intelligent Manufacturing 33 (7), 1879-1905, 2022
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
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
Multi-agent reinforcement learning for job shop scheduling in flexible manufacturing systems
S Baer, J Bakakeu, R Meyes, T Meisen
2019 Second International Conference on Artificial Intelligence for …, 2019
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
Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer
H Tercan, P Deibert, T Meisen
Journal of Intelligent Manufacturing 33 (1), 283-292, 2022
Survey on deep learning based computer vision for sonar imagery
Y Steiniger, D Kraus, T Meisen
Engineering Applications of Artificial Intelligence 114, 105157, 2022
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
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
Shifting virtual reality education to the next level–Experiencing remote laboratories through mixed reality
M Hoffmann, T Meisen, S Jeschke
Engineering Education 4.0: Excellent Teaching and Learning in Engineering …, 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
Manufacturing Control in Job Shop Environments with Reinforcement Learning.
V Samsonov, M Kemmerling, M Paegert, D Lütticke, F Sauermann, ...
ICAART (2), 589-597, 2021
A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions
F von Bülow, T Meisen
Journal of Energy Storage 57, 105978, 2023
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, 195-203, 2017
A recurrent neural network architecture for failure prediction in deep drawing sensory time series data
R Meyes, J Donauer, A Schmeing, T Meisen
Procedia Manufacturing 34, 789-797, 2019
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
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
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