Deep learning and Tucker decomposition-based fast simulators for low-frequency electromagnetic analyses
Electromagnetic (EM) simulators become indispensable for innovation and design in many engineering disciplines using EM fields and waves. These simulators are mature, yet substantial research is needed to further accelerate them and make them thoroughly useful for analysis and design. For example, f...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/180552 |
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