[1] |
Qiang WU, Xueting JI, Linyuan LYU.
Artificial intelligence technologies and applications in the metaverse
[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(3): 324-334.
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[2] |
Wenzhu LAI, Dewang CHEN, Zhenfeng HE, Xinguo DENG, CARLO Marano GIUSEPPE.
Overview of metro train driving technology development:from manual driving to intelligent unmanned driving
[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(3): 335-343.
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[3] |
Renwu LI, Lingxiao ZHANG, Lin GAO, Chunpeng LI, Hao JIANG.
Category-level object pose estimation from depth point cloud
[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(2): 246-254.
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[4] |
Linhui LI, Bin ZHOU, Weiwei REN, Jing LIAN.
Review of pedestrian trajectory prediction methods
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 399-411.
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[5] |
Dongwei HU, Xiaolu FENG.
Theoretical framework of brain modelling and highlighted problems
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 412-434.
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[6] |
Yaling LI, Linyao YANG, Jun GE, Yuanqi QIN, Xiao WANG.
Game 5.0: social cognitionparallel game based on the parallel systems and machine game
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(4): 507-520.
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[7] |
Fei-Yue WANG.
Parallel philosophy and intelligent technology: dual equations and testing systems for parallel industries and smart societies
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(3): 245-255.
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[8] |
Ying LI, Long CHEN, Zhaohong HUANG, Yang SUN, Guorong CAI.
Plant leaf detection technology based on multi-scale CNN feature fusion
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(3): 304-311.
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[9] |
Qing TIAN, Rong HU, Zuoyong LI, Yuanzheng CAI, Zhaochai YU.
Insulator detection based on SE-YOLOv5s
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(3): 312-321.
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[10] |
Wen LIU, Kunlin HU, Yan LI, Zhao LIU.
A review of prediction methods for moving target trajectories
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(2): 149-160.
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[11] |
Yang ZHANG, Yue HU, Dongrong XIN.
A deep learning short-term traffic flow prediction method considering spatial-temporal association
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(2): 172-178.
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[12] |
Jun WU, Jun ZHANG.
Planning and practice of the Yangtze River smart city platform
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(2): 211-217.
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[13] |
Chenxi LIU, Binghong LIU, Xian ZHANG, Xinnan LONG, Mugen PENG.
Intelligent service oriented fog radio access network:principles, technologies and challenges
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(1): 10-17.
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[14] |
Dongjun LIU, Yuhan WANG, Wenfen LING, Yong PENG, Wanzeng KONG.
Emotion recognition based on brain and machine collaborative intelligence
[J]. Chinese Journal of Intelligent Science and Technology, 2021, 3(1): 65-75.
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[15] |
Zhaoyang LIU, Chaoxu MU, Changyin SUN.
An overview on algorithms and applications of deep reinforcement learning
[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(4): 314-326.
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