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Tri-HGNN: Learning triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 11
作者:  Zhu, Wenjun;  Liu, Yanghong;  Wang, Peng;  Zhang, Mengyi;  Wang, Tian;  Yi, Yang
收藏  |  浏览/下载：64/0  |  提交时间：2023/11/17
Trajectory prediction  Hierarchical policy  Graph neural networks  
Parallel Emergency Management of Incidents by Integrating OODA and PREA Loops: The C2 Mechanism and Modes 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 卷号: 53, 期号: 4, 页码: 2160-2172
作者:  Yang, Dongsheng;  Li, Qiang;  Zhu, Fenghua;  Cui, Huachao;  Yi, Wen;  Qin, Jirong
收藏  |  浏览/下载：82/0  |  提交时间：2023/11/17
Edge command and control (edge C2)  incident C2  observe-orient-decide-act (OODA) loop  parallel command and control (parallel C2)  planning-readiness-execution-assessment (PREA) loop  
DH-Mammo PET: a dual-head positron emission mammography system for breast imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 20, 页码: 21
作者:  Shi, Yu;  Wang, Yirong;  Zhou, Jianwei;  Zhu, Yuzhen;  Lyu, Xudong;  Hui, Hui;  Wen, Bo;  Liu, Yanyun;  Li, Lei;  Li, Juntao;  Meng, Fanzhen;  Kang, Fei;  Zhu, Shouping
收藏  |  浏览/下载：192/0  |  提交时间：2022/11/14
performance evaluation  mammography  dual-head PET system  PET-optical  
NIRF Nanoprobes for Cancer Molecular Imaging: Approaching Clinic 期刊论文
TRENDS IN MOLECULAR MEDICINE, 2020, 卷号: 26, 期号: 5, 页码: 469-482
作者:  Hu, Zhenhua;  Chen, Wen-Hua;  Tian, Jie;  Cheng, Zhen
收藏  |  浏览/下载：155/0  |  提交时间：2020/06/22
A neural circuit for comorbid depressive symptoms in chronic pain 期刊论文
NATURE NEUROSCIENCE, 2019, 卷号: 22, 期号: 10, 页码: 1649-+
作者:  Zhou, Wenjie;  Jin, Yan;  Meng, Qian;  Zhu, Xia;  Bai, Tongjian;  Tian, Yanghua;  Mao, Yu;  Wang, Likui;  Xie, Wen;  Zhong, Hui;  Zhang, Na;  Luo, Min-Hua;  Tao, Wenjuan;  Wang, Haitao;  Li, Jie;  Li, Juan;  Qiu, Ben-Sheng;  Zhou, Jiang-Ning;  Li, Xiangyao;  Xu, Han;  Wang, Kai;  Zhang, Xiaochu;  Liu, Yong;  Richter-Levin, Gal;  Xu, Lin;  Zhang, Zhi
收藏  |  浏览/下载：271/0  |  提交时间：2020/03/30