Milad Ramezankhani
According to our database1,
Milad Ramezankhani
authored at least 7 papers
between 2021 and 2024.
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Bibliography
2024
Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming.
Int. J. Comput. Integr. Manuf., February, 2024
2023
Non data hungry smart composite manufacturing using active transfer learning with sigma point sampling (SPSATL).
Comput. Ind., October, 2023
A Sequential Meta-Transfer (SMT) Learning to Combat Complexities of Physics-Informed Neural Networks: Application to Composites Autoclave Processing.
CoRR, 2023
2022
Investigation of a Sparse Autoencoder-Based Feature Transfer Learning Framework for Hydrogen Monitoring Using Microfluidic Olfaction Detectors.
Sensors, 2022
A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022
2021
An Active Transfer Learning (ATL) Framework for Smart Manufacturing with Limited Data: Case Study on Material Transfer in Composites Processing.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021
Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021