Lehrstuhl für Technologien und Management der Digitalen Transformation
Herr Univ.-Prof. Dr.-Ing. Tobias Meisen
Publikationen
Referenzen
2020 | |
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How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
2020
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Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
2020
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Towards NLP-supported Semantic Data Management
arXiv preprint arXiv:2005.06916,
2020
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Bottom-up Knowledge Graph-based Data Management
aus Berichte aus dem Maschinenbau
Herausgeber: Shaker, Düren
1. Auflage Edition
2020
ISBN: 9783844075311
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Multi Agent Deep Q-Network Approach for Online Job Shop Scheduling in Flexible Manufacturing
Proceedings of the 7th International Conference on Industrial Engineering and Applications (ICIEA)
2020
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Industrial Big Data: Modernes Informationsmanagement in der Produktion
Steven, Marion and Klünder, Timo, Autoren,
Big Data: Anwendung und Nutzungspotenziale in der Produktion
aus Moderne Produktion
Herausgeber: Verlag W. Kohlhammer, Stuttgart
2020
ISBN: 3170364766
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Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
2020
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Integration von Produktion in den urbanen Raum
Nachhaltige Stadt
aus Jahrbuch / B.A.U.M. e.V
Herausgeber: ALTOP Verlags- und Vertriebsgesellschaft für umweltfreundliche Produkte mbH, München
2020
ISBN: 3925646728
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Multi Agent Deep Q-Network Approach for Online Job Shop Scheduling in Flexible Manufacturing
International Conference on Manufacturing Systems and Multiple Machies (ICMSMM 2020)
2020
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Semantic Concept Recommendation for Continuously Evolving Knowledge Graphs
Filipe, Joaquim and Śmia\lek, Micha\l and Brodsky, Alexander and Hammoudi, Slimane, Autoren,
Enterprise Information Systems
aus Lecture Notes in Business Information Processing Ser
, Seite 361--385.
Herausgeber: Springer International Publishing AG, Cham
2020
ISBN: 978-3-030-40783-4
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AI for Future Mobility: What Amount of Willingness to Change Does a Society Need?
Proceedings of the 9th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS
, Seite 38--43.
Herausgeber: SciTePress,
2020
ISBN: 978-989-758-418-3
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2019 | |
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Data-Driven Recognition and Extraction of PDF Document Elements
Technologies,
7(3):65
2019
ISSN: 2227-7080
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Bézier Curve Based Continuous and Smooth Motion Planning for Self-Learning Industrial Robots
Procedia Manufacturing,
38:423--430
2019
ISSN: 2351-9789
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Interkulturelle und sozial verantwortliche Technikbildung-Die Ingenieure ohne Grenzen Challenge
Journal of Technical Education (JOTED),
7(1)
2019
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Method to Create a VR Event by Evaluating Third Party Information and Re-Providing the Processed Information in Real-Time
(United States Patent Application 20190213423)
2019
Bemerkung: Patent |
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Forecasting Aachen 2030 -- Urbane Produktion in der Zukunftsstadt
MIA Expertisen,
2019
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Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI),
2019
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Artificial Intelligence in Automotive Production
Mobility in a Globalised World 2018,
22:308--324
2019
DOI: 10.20378/irbo-54827
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A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing,
34:789--797
2019
ISSN: 2351-9789
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Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644,
2019
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