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基于时序图推理的设备剩余使用寿命预测 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 1, 页码: 76-88
作者:  刘雨蒙;  郑旭;  田玲;  王宏安
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：49/21  |  提交时间：2024/04/12
剩余使用寿命  时序图推理  图神经网络  深度推理网络  
CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint 期刊论文
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2023, 页码: 19
作者:  Zhang, Yidi;  An, Ning;  Shi, Chenhui;  Wang, Shuo;  Wei, Hao;  Zhang, Pengju;  Meng, Xinrui;  Sun, Zengpeng;  Wang, Jinke;  Liang, Wenliang;  Tang, Fulin;  Wu, Yihong
收藏  |  浏览/下载：87/0  |  提交时间：2024/02/22
Dataset  ground wheeled robots  semantic segmentation  multi-sensor data  simultaneous localization and mapping  3D reconstruction  
TR-MISR: Multiimage super-resolution based on feature fusion with transformers 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 卷号: 15, 页码: 1373-1388
作者:  An T(安泰);  Zhang X(张鑫);  Huo CL(霍春雷);  Xue B(薛斌);  Wang LF(汪凌峰);  Pan CH(潘春洪)
Adobe PDF(6058Kb)  |  收藏  |  浏览/下载：117/9  |  提交时间：2024/01/17
Deep learning  end-to-end networks  feature extraction and fusion  multiimage super-resolution (MISR)  remote sensing  transformers  
TR-GAN: Multi-session future MRI prediction with temporal recurrent generative adversarial network 期刊论文
IEEE Transactions on Medical Imaging, 2022, 卷号: vol. 41, 期号: no. 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan’an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
Adobe PDF(11092Kb)  |  收藏  |  浏览/下载：215/21  |  提交时间：2023/06/02
Alzheimer’s disease  magnetic resonance imaging  generative adversarial network  
Group feature learning and domain adversarial neural network for aMCI diagnosis system based on EEG 会议论文
, 西安, 2021.06
作者:  Fan, Chen-Chen;  Xie, Haiqun;  Peng, Liang;  Yang, Hongjun;  Ni, Zhen-Liang;  Wang, Guan’an;  Zhou, Yan-Jie;  Chen, Sheng;  Fang, Zhijie;  Huang, Shuyun;  Hou, Zeng-Guang
Adobe PDF(1846Kb)  |  收藏  |  浏览/下载：131/42  |  提交时间：2023/06/02
TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan'an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
收藏  |  浏览/下载：413/0  |  提交时间：2022/09/19
Magnetic resonance imaging  Generative adversarial networks  Task analysis  Three-dimensional displays  Training  Generators  Data models  Alzheimer's disease  magnetic resonance imaging  generative adversarial network  
Learning Smooth and Omnidirectional Locomotion for Quadruped Robots 会议论文
, Chongqing, China, 2021-7
作者:  Wu, Jiaxi;  Wang, Chen'an;  Zhang, Dianmin;  Zhong, Shanlin;  Wang, Boxing;  Qiao, Hong
Adobe PDF(1436Kb)  |  收藏  |  浏览/下载：188/45  |  提交时间：2022/06/14
Quadruped Robot  Reinforcement Learning  
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study 期刊论文
GUT, 2019, 卷号: 68, 期号: 4, 页码: 729-741
作者:  Wang, Kun;  Lu, Xue;  Zhou, Hui;  Gao, Yongyan;  Zheng, Jian;  Tong, Minghui;  Wu, Changjun;  Liu, Changzhu;  Huang, Liping;  Jiang, Tian'an;  Meng, Fankun;  Lu, Yongping;  Ai, Hong;  Xie, Xiao-Yan;  Yin, Li-Ping;  Liang, Ping;  Tian, Jie;  Zheng, Rongqin
浏览  |  Adobe PDF(4798Kb)  |  收藏  |  浏览/下载：342/78  |  提交时间：2019/09/26
Minimum Risk Training for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields 会议论文
International Conference on Document Analysis and Recognition (ICDAR), 2013
作者:  Xiang-Dong Zhou;  Feng Tian;  Cheng-Lin Liu;  Hong-An Wang
收藏  |  浏览/下载：168/0  |  提交时间：2015/08/19
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
浏览  |  Adobe PDF(751Kb)  |  收藏  |  浏览/下载：282/75  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition