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Long-Horizon FCS-MPC Trained 1-D Convolution Neural Networks for FPGA-Based Power-Electronic Converter Control With a Si/SiC Hybrid Converter Case Study.
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Li, Ning, Hao Yu, Stephen Finney, and Paul D. Judge.
PDF Code DOI
Long-Horizon FCS-MPC Trained 1-D Convolution Neural Networks for FPGA-Based Power-Electronic Converter Control With a Si/SiC Hybrid Converter Case Study.
High-resolution conductivity reconstruction by electrical impedance tomography using structure-aware hybrid-fusion learning
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Hao Yu, Haoyu Liu, Zhe Liu, Zeyu Wang, and Jiabin Jia.
PDF DOI
High-resolution conductivity reconstruction by electrical impedance tomography using structure-aware hybrid-fusion learning
Chen, M., Dong, W.*, Yu, H.*, Woodhouse, I., Ryan, C.M., Liu, H., Georgious, S. and Mitchard E.T., Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. arXiv preprint arXiv:2311.11777, 2023.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
Hao Yu
PDF Code Dataset Poster Slides Video Source Document Custom Link
Chen, M., Dong, W.*, Yu, H.*, Woodhouse, I., Ryan, C.M., Liu, H., Georgious, S. and Mitchard E.T., Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. arXiv preprint arXiv:2311.11777, 2023.
Chen, M., Dong, W.*, Yu, H.*, Woodhouse, I., Ryan, C.M., Liu, H., Georgious, S. and Mitchard E.T., Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. arXiv preprint arXiv:2311.11777, 2023999.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
Hao Yu
PDF Code Dataset Poster Slides Video Source Document Custom Link
Chen, M., Dong, W.*, Yu, H.*, Woodhouse, I., Ryan, C.M., Liu, H., Georgious, S. and Mitchard E.T., Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. arXiv preprint arXiv:2311.11777, 2023999.
Chen, M., Dong, W.*, Yu, H.*, Woodhouse, I., Ryan, C.M., Liu, H., Georgious, S. and Mitchard E.T., Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. arXiv preprint arXiv:2311.11777, 2023999.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
Hao Yu
PDF Code Dataset Poster Slides Video Source Document Custom Link
Chen, M., Dong, W.*, Yu, H.*, Woodhouse, I., Ryan, C.M., Liu, H., Georgious, S. and Mitchard E.T., Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. arXiv preprint arXiv:2311.11777, 2023999.
Chen, M., Dong, W.*, Yu, H.*, Woodhouse, I., Ryan, C.M., Liu, H., Georgious, S. and Mitchard E.T., Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. arXiv preprint arXiv:2311.11777, 2023999.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
Hao Yu
PDF Code Dataset Poster Slides Video Source Document Custom Link
Chen, M., Dong, W.*, Yu, H.*, Woodhouse, I., Ryan, C.M., Liu, H., Georgious, S. and Mitchard E.T., Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. arXiv preprint arXiv:2311.11777, 2023999.