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Deep images enhancement for turbid underwater images based on unsupervised learning 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 卷号: 202, 页码: 10
作者:  Zhou, Wen-Hui;  Zhu, Deng-Ming;  Shi, Min;  Li, Zhao-Xin;  Duan, Ming;  Wang, Zhao-Qi;  Zhao, Guo-Liang;  Zheng, Cheng-Dong
收藏  |  浏览/下载:13/0  |  提交时间:2023/07/12
Image enhancement  Visual perception  Underwater dataset  Deep learning  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 2, 页码: 205-234
作者:  Liu, Xin;  Yan, Mingyu;  Deng, Lei;  Li, Guoqi;  Ye, Xiaochun;  Fan, Dongrui
收藏  |  浏览/下载:30/0  |  提交时间:2022/06/21
Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method  
Study protocol for a parallel-group, double-blinded, randomized, controlled, noninferiority trial: the effect and safety of hybrid electroconvulsive therapy (Hybrid-ECT) compared with routine electroconvulsive therapy in patients with depression 期刊论文
BMC PSYCHIATRY, 2019, 卷号: 19, 期号: 1, 页码: 9
作者:  Rong, Han;  Xu, Shu-xian;  Zeng, Jing;  Yang, Ying-jia;  Zhao, Jie;  Lai, Wen-tao;  Chen, Li-chang;  Deng, Wen-feng;  Zhang, Xiangyang;  Zhang, Ying-li;  Li, Min-zhi;  Xiao, Li;  Xie, Xin-hui
收藏  |  浏览/下载:47/0  |  提交时间:2020/12/10
Study protocol  Randomized controlled trial  Hybrid electroconvulsive therapy  Electroconvulsive therapy  Depression