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Shiyang Zhou
Shiyang Zhou
Verified email at tuwien.ac.at
Title
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Cited by
Year
A conceptual model-based digital twin platform for holistic large-scale railway infrastructure systems
S Zhou, S Dumss, R Nowak, R Riegler, O Kugu, M Krammer, M Grafinger
Procedia CIRP 109, 362-367, 2022
312022
A machine-learning-based surrogate modeling methodology for submodel integration in the holistic railway digital twin platform
S Zhou, A Meierhofer, O Kugu, Y Xia, M Grafinger
Procedia CIRP 119, 345-350, 2023
152023
EuProGigant: A decentralized Federated Learning Approach based on Compute-to-Data and Gaia-X
R Gehrer, S Dumss, F Gast, W Wünschel, F Schwill, M Šoša, S Zhou, ...
Procedia CIRP 128, 710-715, 2024
82024
An fmi-and ssp-based model integration methodology for a digital twin platform of a holistic railway infrastructure system
O Kugu, S Zhou, R Nowak, G Müller, SH Reiterer, A Meierhofer, ...
Modelica Conferences, 717-726, 2023
82023
FactoRIS–a learning factories based education framework to support digital transformation of manufacturing SMEs
M Juhás, M Gulan, L Neto, G Gonçalves, T Komenda, L Pickel, S Zhou, ...
Proceedings of the 12th Conference on Learning Factories (CLF 2022), 2022
62022
A Reinforcement-Learning-based Parameter Tuning Methodology for Traction Control in the Holistic Railway Digital Twin System
S Zhou, O Kugu, L Wurth, M Grafinger
Procedia CIRP 128, 828-833, 2024
42024
Pipeline-Based Automated Integration and Delivery Testing of Simulation Assets with FMI/SSP in a Railway Digital Twin
O Kugu, S Zhou, SH Reiterer, M Schwaiger, L Wurth, M Grafinger
Modelica Conferences, 189-198, 2024
12024
Approaches for Multi-Body Dynamic Simulation in Railway Digital Twin Platform
S Zhou, A Sogomonyan, A Ohanian, W Amminger, Y Xia, M Grafinger
2024
Comparative Analysis of Machine Learning-Based Surrogate Modeling Approaches for Multi-Body Dynamic Simulation in Railway Digital Twin Platform
S Zhou, A Sogomonyan, A Ohanian, W Amminger, Y Xia, M Grafinger
2024 IEEE International Conference on Industrial Engineering and Engineering …, 2024
2024
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Articles 1–9