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自动化研究所 [5]
北京大学 [2]
国家空间科学中心 [2]
近代物理研究所 [2]
清华大学 [1]
兰州理工大学 [1]
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期刊论文 [19]
学位论文 [3]
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HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 254, 页码: 13
作者:
Jia, Xueqi
;
Shang, Jiaxing
;
Liu, Dajiang
;
Zhang, Haidong
;
Ni, Wancheng
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/11/14
Information popularity prediction
Graph neural network
Hierarchical attention
Social network analysis
Predictive factors
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Jin, Junchen
;
Rong, Dingding
;
Zhang, Tong
;
Ji, Qingyuan
;
Guo, Haifeng
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/06/06
Roads
Predictive models
Data models
Recurrent neural networks
Generators
Computer architecture
Deep learning
Short-term link speed prediction
signalized urban networks
Wasserstein generative adversarial network
Porosity-dependent velocities of longitudinal and transverse waves in dry porous materials
期刊论文
APPLIED ACOUSTICS, 2021, 卷号: 176, 页码: 15
作者:
Zhao, Rong
;
Li, Chunguang
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/05/25
Longitudinal wave
Transverse wave
Porous materials
Characteristics of shear stress based on magnetorheological fluid flexible fixture during milling of the thin-walled part
期刊论文
International Journal of Advanced Manufacturing Technology, 2020, 卷号: 108, 期号: 7-8, 页码: 2607-2619
作者:
Xiaohui, Jiang
;
Yong, Zhang
;
Weiwei, Lu
;
Shan, Gao
;
Ling, Liu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/14
Fixtures (tooling)
Magnetic fields
Magnetorheological fluids
Predictive analytics
Quality control
Thin walled structures
Coupling relation
Flexible fixture
Machining efficiency
Magnetic-field intensity
Magnetorheological fluids (MRF)
Prediction model
Theoretical values
Thin-walled parts
Unlocking Author Power: On the Exploitation of Auxiliary Author-Retweeter Relations for Predicting Key Retweeters
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 32, 期号: 3, 页码: 547-559
作者:
Wu, Bo
;
Cheng, Wen-Huang
;
Zhang, Yongdong
;
Cao, Juan
;
Li, Jintao
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/12/10
Social network services
Predictive models
Prediction algorithms
Computers
Technological innovation
Information processing
Task analysis
Microblogging
key retweeter prediction
information propagation
user behavior
A phase field framework for dynamic adiabatic shear banding
期刊论文
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2020, 卷号: 135, 页码: 19
作者:
Xu, Yun
;
Ming, Pingbing
;
Chen, Jun
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2020/05/24
Phase field
Variational formulation
Adiabatic shear bands
Strain gradient theory
Finite element simulation
Derivation of salt content in salinized soil from hyperspectral reflectance data: A case study at Minqin Oasis, Northwest China
期刊论文
JOURNAL OF ARID LAND, 2019, 卷号: 11, 期号: 1, 页码: 111-122
作者:
Qian Tana
;
Tsunekawa, Atsushi
;
Peng Fei
;
Masunaga, Tsugiyuki
;
Wang Tao
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2019/10/08
salinity index
soil salt content
spectral reflectance
waveband pairs
arid regions
Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data
期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 106111-106123
作者:
M.C.Feng
;
J.B.Zheng
;
J.C.Ren
;
A.Hussain
;
X.X.Li
收藏
  |  
浏览/下载:0/0
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提交时间:2020/08/24
Big data analytics (BDA),data mining,data visualization,neural,network,time series forecasting,saliency detection
The relationship between leadership-member exchange and knowledge sharing: From the perspective of social relations
会议论文
Toronto, ON, Canada, August 3, 2018 - August 6, 2018
作者:
Liu, Shuzhen
;
Ye, Long
;
Guo, Ming
;
Zhang, Qichao
;
Lu, Guanda
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/04/04
Masses and Ages for 230,000 LAMOST Giants, via Their Carbon and Nitrogen Abundances
期刊论文
ASTROPHYSICAL JOURNAL, 2017, 卷号: 841, 期号: 1
作者:
Ho, Anna Y. Q.
;
Rix, Hans-Walter
;
Ness, Melissa K.
;
Hogg, David W.
;
Liu, Chao
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2017/09/01
methods: data analysis
methods: statistical
stars: abundances
stars: fundamental parameters
surveys
techniques: spectroscopic
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