中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [2]
金属研究所 [1]
计算技术研究所 [1]
软件研究所 [1]
采集方式
OAI收割 [5]
内容类型
期刊论文 [4]
会议论文 [1]
发表日期
2020 [2]
2014 [1]
2006 [1]
2004 [1]
学科主题
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An Interactive Approach of Rule Mining and Anomaly Detection for Internal Risks
会议论文
OAI收割
6th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2020, Istanbul, Turkey (Online), 2020-7-16~2020-7-17
作者:
Liu, Kun
;
Wu, Yunkun
;
Wei, Wenting
;
Wang, Zhonghui
;
Zhu, Jiaqi
  |  
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2021/01/05
Internal risks
Behavior rule mining
Anomaly detection
Complex events
Online detection of anomaly behaviors based on multidimensional trajectories
期刊论文
OAI收割
INFORMATION FUSION, 2020, 卷号: 58, 页码: 40-51
作者:
Pan, Xinlong
;
Wang, Haipeng
;
Cheng, Xueqi
;
Peng, Xuan
;
He, You
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2020/12/10
Anomaly behavior
Multidimensional
Online detection
Trajectory
A novel Ni2AlTi-containing composite with excellent wear resistance and anomalous flexural strength
期刊论文
OAI收割
Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing, 2014, 卷号: 597, 页码: 70-74
H. Zhang
;
X. H. Wang
;
Z. J. Li
;
M. Y. Liu
;
Y. C. Zhou
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2014/04/18
Carbides
Twins
Composites
Flexural strength anomaly
Ti3AlC2
compressive properties
mechanical-properties
melt-infiltration
abrasive wear
microstructure
behavior
cermets
ti3alc2
ni2alti
alloy
A system for learning statistical motion patterns
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 卷号: 28, 期号: 9, 页码: 1450-1464
作者:
Hu, Weiming
;
Xiao, Xuejuan
;
Fu, Zhouyu
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2015/11/08
tracking multiple objects
learning statistical motion patterns
anomaly detection
behavior understanding
A hierarchical self-organizing approach for learning the patterns of motion trajectories
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2004, 卷号: 15, 期号: 1, 页码: 135-144
作者:
Hu, WM
;
Xie, D
;
Tan, TN
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2015/09/23
hierarchical self-organizing neural network
trajectory analysis and learning
anomaly detection
behavior prediction