Tobias Meisen

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Sabina JeschkeProfessor and Head of the IMA/ZLW & IfU, Faculty for Mechanical Engineering, RWTH Aachen UniversityEmail được xác minh tại ima-zlw-ifu.rwth-aachen.de
André PompBergische Universität WuppertalEmail được xác minh tại uni-wuppertal.de
Hasan TercanScientific Researcher, University of WuppertalEmail được xác minh tại uni-wuppertal.de
Richard MeyesUniversity of WuppertalEmail được xác minh tại uni-wuppertal.de
Prof. Dr.-Ing. Daniel SchilbergRobotics and MechatronicsEmail được xác minh tại hs-bochum.de
Alexander PaulusScientific Researcher, University of WuppertalEmail được xác minh tại uni-wuppertal.de
Max HoffmannDoctor of Engineering, Scientific Researcher, Institute of Information Management in MechanicalEmail được xác minh tại rwth-aachen.de
Constantin Waubert de PuiseauUniversity of Wuppertal, GermanyEmail được xác minh tại uni-wuppertal.de
Christian BüscherRWTH Aachen UniversityEmail được xác minh tại rwth-aachen.de
Dr. Thomas ThielePrincipal, Arthur D. LittleEmail được xác minh tại rwth-aachen.de
Philipp MeisenBreinify IncEmail được xác minh tại meisen.net
Andreas BurgdorfBergische Universität WuppertalEmail được xác minh tại uni-wuppertal.de
Christian Bitter (Scheiderer)University of Wuppertal, previously RWTH Aachen UniversityEmail được xác minh tại uni-wuppertal.de
Miguel Alves GomesScientific Researcher in Data Analysis, University of WuppertalEmail được xác minh tại uni-wuppertal.de
Friedrich von BülowVolkswagen AGEmail được xác minh tại volkswagen.de
Johannes Theissen-LippRWTH Aachen UniversityEmail được xác minh tại rwth-aachen.de
Andreas KirmseHotSpringsEmail được xác minh tại rwth-aachen.de
Maike JansenEmail được xác minh tại uni-wuppertal.de
Daniel LüttickeRWTH Aachen UniversityEmail được xác minh tại rwth-aachen.de
Vadim KrausEmail được xác minh tại ima-ifu.rwth-aachen.de

Theo dõi

Tobias Meisen

Bergische Universität Wuppertal, previously RWTH Aachen University

Email được xác minh tại uni-wuppertal.de - Trang chủ

Deep Learning Deep Reinforcement Learning Semantic Technologies Knowledge Graph


Tiêu đề Sắp xếp theo số lượt trích dẫn Sắp xếp theo năm Sắp xếp theo tiêu đề	Trích dẫn bởi Trích dẫn bởi	Năm
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	1203	2017
Ablation studies in artificial neural networks R Meyes, M Lu, CW de Puiseau, T Meisen arXiv preprint arXiv:1901.08644, 2019	334	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	219	2022
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	162	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	144	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	108	2017
Stop guessing in the dark: Identified requirements for digital product passport systems M Jansen, T Meisen, C Plociennik, H Berg, A Pomp, W Windholz Systems 11 (3), 123, 2023	81	2023
Survey on deep learning based computer vision for sonar imagery Y Steiniger, D Kraus, T Meisen Engineering Applications of Artificial Intelligence 114, 105157, 2022	81	2022
A review on customer segmentation methods for personalized customer targeting in e-commerce use cases M Alves Gomes, T Meisen Information Systems and e-Business Management 21 (3), 527-570, 2023	76	2023
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	65	2019
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	61	2022
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	60	2023
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	55	2016
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	52	2019
On reliability of reinforcement learning based production scheduling systems: a comparative survey C Waubert de Puiseau, R Meyes, T Meisen Journal of Intelligent Manufacturing 33 (4), 911-927, 2022	48	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	48	2008
Manufacturing Control in Job Shop Environments with Reinforcement Learning. V Samsonov, M Kemmerling, M Paegert, D Lütticke, F Sauermann, ... ICAART (2), 589-597, 2021	47	2021
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	43	2018
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	43	2016
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	42	2019

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