| Deep Neural Network for Magnetic Core Loss Estimation using the MagNet Experimental Database X Shen, H Wouters, W Martinez 2022 24th European Conference on Power Electronics and Applications (EPE'22 …, 2022 | 8 | 2022 |
| Machine Learning Model for High-Frequency Magnetic Loss Predictions Based on Loss Map by a Measurement Kit X Shen, W Martinez 2023 25th European Conference on Power Electronics and Applications (EPE'23 …, 2023 | 3 | 2023 |
| Magnetic Core Evaluation Kit for the Comparison of Core Losses W Martinez, X Shen, S Lin, J Friebe 2022 24th European Conference on Power Electronics and Applications (EPE'22 …, 2022 | 3 | 2022 |
| Improving Steinmetz Parameters for Iron Loss Characterization with a Magnetic Measurement Kit X Shen, H Wouters, W Martinez 2023 25th European Conference on Power Electronics and Applications (EPE'23 …, 2023 | 2 | 2023 |
| Multilayer perceptron-based inductor iron loss predictions with loss map by a measurement kit X Shen, H Pervaiz, W Martinez IET Digital Library, 2023 | 2 | 2023 |
| Stepwise Transitions Control for Reconfigurable LLC Resonant Converters with Multiple Modes Y Zuo, X Shen, X Pan, W Martinez 2023 IEEE Energy Conversion Congress and Exposition (ECCE), 53-58, 2023 | 1 | 2023 |
| Optimisation of Magnetic Loss Trade-offs in High-Frequency Litz Wire Transformers H Wouters, X Shen, H Pervaiz, W Martinez 2023 25th European Conference on Power Electronics and Applications (EPE'23 …, 2023 | 1 | 2023 |
| Conditional Generative Adversarial Network Aided Iron Loss Prediction for High-frequency Magnetic Components X Shen, Y Zuo, W Martinez IEEE Transactions on Power Electronics, 2024 | | 2024 |
| Artificial Intelligence Applications in High-Frequency Magnetic Components Design for Power Electronics Systems: An Overview X Shen, Y Zuo, J Kong, W Martinez IEEE Transactions on Power Electronics ( Early Access ), 2024 | | 2024 |
| High Step-up Ratio Interleaved Boost L-LLC Resonant Converter with PWM and PFM Control for Wide Input and Output Voltage Range Y Zuo, DB Cobaleda, X Shen, W Martinez 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), 1396-1402, 2024 | | 2024 |
| Optimizing DC Inductor Design with Air Gap for Triangular Excitation: A Reinforcement Learning Approach F Tian, H Wouters, X Shen, W Martinez 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), 627-632, 2024 | | 2024 |
Wilmar MartinezAssociate Professor in Power Electronics at KU Leuven & Research Coordinator at EnergyVille. BelgiumBestätigte E-Mail-Adresse bei kuleuven.be
