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| graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography 会议论文
美国, 2022-2
作者: Wang Y(王宇); Bian C(边畅); Du Y(杜洋); Tian J(田捷)
  收藏 | 浏览/下载：19/0 | 提交时间：2022/06/14
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| Numerical Study on Crushing Law of Iron Ore under Different Impact Velocity Using CDEM 会议论文
Beijing, 21 October 2021- 25 October 2021
作者: Feng C(冯春); Liu XM(刘新明); Zhu XG(朱心广); Wang XQ(王心泉)
收藏 | 浏览/下载：28/0 | 提交时间：2021/11/23 |
| Numerical-simulation-based Landslide Warning System and Its Application 会议论文
Beijing, 21 October 2021- 25 October 2021
作者: Feng C(冯春); Li SH(李世海); Liu TP(刘天苹); Wang XQ(王心泉); Zhu XG(朱心广)
收藏 | 浏览/下载：21/0 | 提交时间：2021/11/23 |
| Dynamic Modeling and Simulation of Quick-Setting Slurry with Spatiotemporal Rheological Properties 会议论文
Beijing, 21 October 2021 - 25 October 2021
作者: Cheng PD(程鹏达); Deng,Shaohui; Liu,Bao Lin; Xing,Zhanqing; Yang,Peizhou
收藏 | 浏览/下载：27/0 | 提交时间：2021/11/23
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| Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target 会议论文
作者: Dong, Yunxuan; Wang, Jing; Xiao, Ling; Fu, Tonglin
收藏 | 浏览/下载：2/0 | 提交时间：2020/12/18
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| Influence of rectangular strips size on aerodynamic performance of a high-speed train subjected to crosswind 会议论文
Virtual, Online, 10 August 2021 到 12 August 2021
作者: Wang MY(王梦莹); Sun ZX(孙振旭); Ju SJ(鞠胜军); Yang GW(杨国伟)
收藏 | 浏览/下载：16/0 | 提交时间：2021/11/30
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| Modeling and simulation of flexible axially moving arm 会议论文
Xi'an, Shaxi, China, 9 April 2021 到 11 April 2021
作者: Liu RX(刘瑞霞); Zhang J
收藏 | 浏览/下载：5/0 | 提交时间：2021/11/30
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| Effect of aerodynamic moment on high-speed maglev train under complicated conditions 会议论文
Virtual, Online, 10 August 2021 到 12 August 2021
作者: Hao ZZ(郝占宙); Yin B(银波); Yang GW(杨国伟); Xiao P(肖攀)
收藏 | 浏览/下载：2/0 | 提交时间：2021/11/30 |
| Application of machine learning in the alignment of off-Axis optical system 会议论文
Beijing, China, 2021-06-20
作者: Yu, Lei; Ma, Caiwen; Fu, Xing; Yin, Yamei; Cao, Mingqiang
收藏 | 浏览/下载：18/0 | 提交时间：2022/01/30
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| A path planning strategy for marine vehicles based on deep reinforcement learning and data-driven dynamic flow fields prediction 会议论文
Dalian, China, July 15-17, 2021
作者: Song SM(桑启明); Tian Y(田宇); Jin QL(金乾隆); Yu JC(俞建成)
收藏 | 浏览/下载：6/0 | 提交时间：2021/11/21
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