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一种工业图像智能分割压缩方法 专利
专利类型: 发明, 专利号: CN112446376A, 公开日期: 2021-03-05,
Inventors:  郑泽宇;  高原;  许原野;  张涛;  董静雅;  刘智
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一种基于多叉树的设备状态区分及数据压缩方法 专利
专利类型: 发明, 专利号: CN112445793A, 公开日期: 2021-03-05,
Inventors:  郑泽宇;  高原;  张涛;  许原野;  董静雅;  刘智
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Long-term correlations and multifractality of toll-free calls in China 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2021, 卷号: 567, 页码: 1-12
Authors:  Gui J(桂珺);  Zheng ZY(郑泽宇);  Fu DZ(付殿峥);  Fu Y(傅洋);  Liu Z(刘智)
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Calling activity  Long-term correlation  Multifractality  MFDFA  Scaling behavior  
Dynamics of calling activity to toll-free numbers in China 期刊论文
PLOS ONE, 2020, 卷号: 15, 期号: 3, 页码: 1-16
Authors:  Gui J(桂珺);  Zheng ZY(郑泽宇);  Fu DZ(付殿峥);  Yang ZH(杨子豪);  Gao Y(高原);  Liu Z(刘智)
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Data Compression Method Based on Operation Condition Identification 会议论文
2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020, Istanbul, Turkey, June 12-13, 2020
Authors:  Dong JY(董静雅);  Fu DZ(付殿峥);  Zheng ZY(郑泽宇);  Liu Z(刘智);  Gao Y(高原);  Gui J(桂珺)
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data compression  data storage  operation condition identification  time series  
Path Planning Method With Improved Artificial Potential Field-A Reinforcement Learning Perspective 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 135513-135523
Authors:  Yao QF(么庆丰);  Zheng ZY(郑泽宇);  Qi, Liang;  Yuan, Haitao;  Guo, Xiwang;  Zhao M(赵明);  Liu Z(刘智);  Yang TJ(杨天吉)
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Path planning  Learning (artificial intelligence)  Gravity  Potential energy  Mobile agents  Real-time systems  Reinforcement learning  neural network  potential field  path planning  
基于改进人工势场法的移动机器人路径规划方法 期刊论文
计算机应用研究, 2020, 卷号: 37, 期号: S2, 页码: 66-68, 72
Authors:  赵明;  郑泽宇;  么庆丰;  潘怡君;  刘智
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路径规划  人工势场  人工智能  自适应  
Comparison between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 18772-18777
Authors:  Wang, Guanwen;  Qi F(祁峰);  Liu, Zhi;  Liu, Cuiling;  Xing CG(邢春贵);  Ning, Wei
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Ambient environment sensing  THz imaging  image reconstruction  
基于新型人工智能技术的症状药物关联关系分析方法 专利
专利类型: 发明, 专利号: CN109979558A, 公开日期: 2019-07-05,
Inventors:  郑泽宇;  刘智;  周驰
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Remaining useful life estimation by empirical mode decomposition and ensemble deep convolution neural networks 会议论文
2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019, San Francisco, CA, United states, June 17-20, 2019
Authors:  Yao QF(么庆丰);  Yang TJ(杨天吉);  Liu Z(刘智);  Zheng ZY(郑泽宇)
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Neural Networks  Ensemble Learning  Empirical Mode Decomposition  Remaining Useful Life