受强制性开放获取政策约束的文章 - Hasan Tercan了解详情
无法在其他位置公开访问的文章：1 篇
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
强制性开放获取政策： German Research Foundation
可在其他位置公开访问的文章：7 篇
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
强制性开放获取政策： German Research Foundation
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
强制性开放获取政策： German Research Foundation
Interdisciplinary data driven production process analysis for the internet of production
R Meyes, H Tercan, T Thiele, A Krämer, J Heinisch, M Liebenberg, G Hirt, ...
Procedia Manufacturing 26, 1065-1076, 2018
强制性开放获取政策： German Research Foundation
Combined learning processes for injection moulding based on simulation and experimental data
C Hopmann, S Jeschke, T Meisen, T Thiele, H Tercan, M Liebenberg, ...
AIP conference proceedings 2139 (1), 2019
强制性开放获取政策： German Research Foundation
Use of classification techniques to design laser cutting processes
H Tercan, T Al Khawli, U Eppelt, C Büscher, T Meisen, S Jeschke
Procedia CIRP 52, 292-297, 2016
强制性开放获取政策： German Research Foundation
Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process
Y Wang, H Tercan, T Thiele, T Meisen, S Jeschke, W Schulz
2017 ITU Kaleidoscope: Challenges for a Data-Driven Society (ITU K), 1-5, 2017
强制性开放获取政策： German Research Foundation
Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process
Y Wang, H Tercan, T Hermanns, T Thiele, T Meisen, S Jeschke, W Schulz
Journal of ICT Standardization 6 (3), 203-216, 2018
强制性开放获取政策： German Research Foundation
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