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Mengjie Zhao
Mengjie Zhao
PhD, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction
I Nejjar, F Geissmann, M Zhao, C Taal, O Fink
Reliability Engineering & System Safety 242, 109718, 2024
302024
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT systems
M Zhao, O Fink
IEEE Internet of Things Journal, 2024
7*2024
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks
M Zhao, C Taal, S Baggerohr, O Fink
Proceedings of the European Conference of the PHM Society 2024 8 (1), 3998, 2024
52024
Spatial-temporal graph attention fuser for calibration in iot air pollution monitoring systems
KF Niresi, M Zhao, H Bissig, H Baumann, O Fink
2023 IEEE SENSORS, 01-04, 2023
52023
Graph neural networks for virtual sensing in complex systems: Addressing heterogeneous temporal dynamics
M Zhao, C Taal, S Baggerohr, O Fink
arXiv preprint arXiv:2407.18691, 2024
22024
A time averaged steady state method for the Navier–Stokes equations
M Zhao, R Zorrilla, R Rossi, R Wüchner
International Journal for Numerical Methods in Fluids 93 (7), 2023-2064, 2021
22021
Progress Report «Project INITIATE»: State Estimation and Fault Detection from Power Grid Sensors & Hydro Plant Efficiency Estimation
R Theiler, M Zhao, O Fink
https://www.aramis.admin.ch/Default?DocumentID=68753, 2022
2022
Machine Learning and Simulation for Grid Optimization
P Breier, Q Huang, M Krügener, O Voloshyn, M Zhao
Technical University of Munich, 2020
2020
A Non-Intrusive Parametric ROM for Steady-State CFD Applications based on Manifold Learning
M Zhao, A Bosco, D Hartmann, R Wüchner
DOI:10.13140/RG.2.2.28655.76962, 2020
2020
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Articles 1–9