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会议论文 [16]
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Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography Images
会议论文
作者:
Liu, Xiaoming
;
Liu, Dong
;
Li, Bo
;
Wang, Shaocheng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
基于Gabor的双重N-back工作记忆训练显著提高大学生视觉对比敏感度和流体智力
会议论文
曲阜, 2017.7.2
作者:
师海宁
;
王丽萍
;
陈宏
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  |  
浏览/下载:234/0
  |  
提交时间:2017/12/28
工作记忆训练
对比敏感度
流体智力
Analysis on meteorological conditions and health factors based on C4.5 algorithm
会议论文
Shenzhen, China, November 27, 2014 - November 29, 2014
作者:
Han, Xu
;
Jiang, Han
;
Jiang, Yanfeng
;
Gu, Heng
;
Zhang, Siyue
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  |  
浏览/下载:6/0
  |  
提交时间:2017/01/20
Data mining
Algorithms
Cloud computing
Decision trees
Distributed computer systems
Flow visualization
Forecasting
Meteorology
Neural networks
Trees (mathematics)
Weather forecasting
Atmospheric impact
Chemical and biologicals
Data mining algorithm
Decision-tree algorithm
Forecasting algorithm
Medical meteorologies
Meteorological condition
Upper respiratory tract
A numerical study of the flow and pollutant dispersion in valley-river urban
会议论文
2013 International Conference on Intelligent System, Applied Materials and Control Technology, GSAMCT 2013, Taiyuan, Shanxi, China, January 13, 2013 - January 15, 2013
作者:
Huang, Rong
;
Wang, Nai-Ang
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  |  
浏览/下载:3/0
  |  
提交时间:2017/01/18
Dispersions
Air
Air pollution
Computational fluid dynamics
Computer simulation
Flow fields
Intelligent systems
Landforms
Nitrogen compounds
Turbulence models
Air flow
Computational fluid dynamics models
Concentration fields
Differential pressures
Dispersion process
Fast simulation
Lanzhou city
Pollutant dispersions
Reynolds-averaged navier-stokes modeling
Source location
Urban environments
Wind directions
Wind field
Wind flow
Approach for detecting crowd panic behavior based on fluid kinematic features and entropy (EI CONFERENCE)
会议论文
International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China
Cao S.
;
Zhang X.
;
Cao W.
;
Liu C.
;
Li Y.
;
Li P. C.
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  |  
浏览/下载:21/0
  |  
提交时间:2013/03/25
Crowd panic behavior detection is an important task in video analysis and event recognition
whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper
the crowd is regard as a fluid
and the crowd motion is described by four fluid kinematic features (divergence
vorticity
gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior
an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.
extending logic programs with description logic expressions for the semantic web
会议论文
10th International Semantic Web Conference, ISWC 2011, Bonn, Germany, October 23
Shen Yi-Dong
;
Wang Kewen
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浏览/下载:13/0
  |  
提交时间:2013/10/08
Atoms
Data description
Formal languages
Logic programming
Ontology
Semantic Web
Semantics
User interfaces
Machine intelligence and intelligent machines
会议论文
作者:
Wang, Sunran
;
Di, Hongyu
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/10
Direct drive
Electronic subsystems
Information-driven
Intelligent machine
Machine intelligence
Mechatronics systems
Motion characteristics
Sensor informations
Study on The Percentage of Movable Fluid Parameters in Hailar Low-Permeability Reservoir
会议论文
International Conference on Machine Intelligence (ICMI 2011), Manila, PHILIPPINES
作者:
Su Zhi-xin
;
Yang Zheng-ming
;
Jiang Han-qiao
;
Li Shu-tie
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  |  
浏览/下载:4/0
  |  
提交时间:2020/01/03
Low-permeability
mobile fluid
reservoir evaluation
development
Study on The Percentage of Movable Fluid Parameters in Hailar Low-Permeability Reservoir
会议论文
2011 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE (ICMI 2011), PT 2, 2011-01-01
-
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  |  
浏览/下载:1/0
  |  
提交时间:2020/01/03
Low-permeability
mobile fluid
reservoir evaluation
development
Analysis of jet formation and penetration by linear shaped charge
会议论文
PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL V, PTS A AND B, Asia Pacific Symposium on Safety 2005, Shaoxing, PEOPLES R CHINA, Web of Science
Jun, Y
;
Du, YX
;
Liu, JB
;
Zhang, XB
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  |  
浏览/下载:3/0
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