Source Themes

A novel real-time efficacy assessment method for tumor treating fields
Yueyue Xiao, Songpei Hu, Chunxiao Chen, Hao Yu, Liang Wang, Jie Yu, Bokai Chen, Ming Lu, Jagath C Rajapakse
DOI
Time-Frequency Domain Lightweight Dual-Branch MSCFormer for PMSM ITSC Fault Diagnosis
Hao Yu, Shaobin Li, Yongxiang Xu, Zihao Zhang, Haoyi Mu, and Wei Han.
Time-Frequency Domain Lightweight Dual-Branch MSCFormer for PMSM ITSC Fault Diagnosis
Feasibility Analysis of EIT-Guided Lung Tumor Tracking with Prior Information for Robotic Arm-Assisted Radiotherapy
Hao Yu, Hao Yu, Zhongxu Dong, Wei Han, Yang Wu, Chunpen Wang, Zhe Liu and Jiabin Jia.
Feasibility Analysis of EIT-Guided Lung Tumor Tracking with Prior Information for Robotic Arm-Assisted Radiotherapy
A Novel Generative Adversarial Network Based on Conditional VAE for EIT Reconstruction of Lung Diseases
Yueyue Xiao, Jie Yu, Chunxiao Chen, Liang Wang, Songpei Hu, Bokai Chen, Hao Yu
PDF
UFLUX v2.0 A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake
Wenquan Dong, Songyan Zhu, Jian Xu, Casey M Ryan, Man Chen, Jingya Zeng, Hao Yu, Congfeng Cao, Jiancheng Shi
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
This paper proposes an FPGA-based compressed 1-D convolutional neural network for long-horizon FCS-MPC, significantly reducing online computation and hardware resource usage while maintaining control performance.
Ning Li, 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
This study proposes a novel deep learning method, SA-HFL, that fuses multi-branch features to improve the accuracy and robustness of EIT conductivity reconstruction against noise and modeling errors.
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
V-Pen An Acoustic-Based Fine-Grained Virtual Pen Input System Using Hand Tracking
Wei Han, Yinghao Li, Hao Yu, Jiabin Jia
DOI
Extracting reference voltages from measurement voltages for oil-water two-phase flow measurement of electrical impedance tomography
Hao Yu, Xingchen Wan, and Jiabin Jia.
DOI
Estimation of reference voltages for time-difference electrical impedance tomography
Hao Yu, Xingchen Wan, Zhongxu Dong, Zhixi Zhang, Jiabin Jia.
DOI