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CASIA OpenIR

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A Creative Approach to Reducing Ambiguity in Scenario-based Software Architecture Analysis 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 248-260
作者:  Xi-Wen Wu;  Chen Li;  Xuan Wang;  Hong-Ji Yang
浏览  |  Adobe PDF(2299Kb)  |  收藏  |  浏览/下载：111/47  |  提交时间：2021/02/22
Creative computing  vector clock algorithm  scenario-based analysis of software architecture  sequence diagram  Breeze/architecture description language (ADL).  
Research paper Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study 期刊论文
EBIOMEDICINE, 2020, 卷号: 56, 页码: 9
作者:  Yang, Qi;  Wei, Jingwei;  Hao, Xiaohan;  Kong, Dexing;  Yu, Xiaoling;  Jiang, Tianan;  Xi, Junqing;  Cai, Wenjia;  Luo, Yanchun;  Jing, Xiang;  Yang, Yilin;  Cheng, Zhigang;  Wu, Jinyu;  Zhang, Huiping;  Liao, Jintang;  Zhou, Pei;  Song, Yu;  Zhang, Yao;  Han, Zhiyu;  Cheng, Wen;  Tang, Lina;  Liu, Fangyi;  Dou, Jianping;  Zheng, Rongqin;  Yu, Jie;  Tian, Jie;  Liang, Ping
收藏  |  浏览/下载：279/0  |  提交时间：2020/08/21
Ultrasound  Convolutional neural network  Focal liver lesions  Diagnosis  
Towards Real-Time Advancement of Underwater Visual Quality With GAN 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9350-9359
作者:  Chen, Xingyu;  Yu, Junzhi;  Kong, Shihan;  Wu, Zhengxing;  Fang, Xi;  Wen, Li
Adobe PDF(4984Kb)  |  收藏  |  浏览/下载：414/138  |  提交时间：2019/12/16
Generative adversarial networks (GAN) image restoration  machine learning  underwater vision  
Towards human-like and transhuman perception in AI 2.0: a review 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2017, 卷号: 18, 期号: 1, 页码: 58-67
作者:  Tian, Yong-hong;  Chen, Xi-lin;  Xiong, Hong-kai;  Li, Hong-liang;  Dai, Li-rong;  Chen, Jing;  Xing, Jun-liang;  Chen, Jing;  Wu, Xi-hong;  Hu, Wei-min;  Hu, Yu;  Huang, Tie-jun;  Gao, Wen
浏览  |  Adobe PDF(452Kb)  |  收藏  |  浏览/下载：356/59  |  提交时间：2017/05/05
Intelligent Perception  Active Vision  Auditory Perception  Speech Perception  Autonomous Learning