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Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 卷号: 39, 期号: 10, 页码: 3207-3217
作者:  Cai, Meishan;  Zhang, Zeyu;  Shi, Xiaojing;  Yang, Junying;  Hu, Zhenhua;  Tian, Jie
Adobe PDF(2176Kb)  |  收藏  |  浏览/下载:307/62  |  提交时间:2021/01/07
Image reconstruction  Imaging  Mathematical model  Shape  Slabs  Iterative methods  Luminescence  Cerenkov luminescence tomography  sparse reconstruction  inverse problem  tumor  
基于区块链的传染病监测与预警技术 期刊论文
智能科学与技术学报, 2020, 页码: 135-143
作者:  欧阳丽炜;  袁勇;  郑心湖;  张俊;  王飞跃
Adobe PDF(888Kb)  |  收藏  |  浏览/下载:68/28  |  提交时间:2023/06/06
基于神经科学文献感兴趣片段的跨物种脑认知知识图谱自动构建 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2020
作者:  朱洪银
Adobe PDF(8378Kb)  |  收藏  |  浏览/下载:351/7  |  提交时间:2020/06/19
脑科学  跨物种  神经信息学  知识图谱  知识引擎  感兴趣片段  语料标注  术语识别  关系抽取  深度学习  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载:267/62  |  提交时间:2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
Adobe PDF(2879Kb)  |  收藏  |  浏览/下载:431/223  |  提交时间:2020/10/15
Intelligent transportation systems  
Hidden Markov Model Approach for Software Reliability Estimation with Logic Error 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 305-320
作者:  R. Bharathi;  R. Selvarani
浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载:179/66  |  提交时间:2021/02/22
Hidden Markov model (HMM)  reliability  logic error  safety critical  software failure.