中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [3]
计算技术研究所 [1]
采集方式
OAI收割 [4]
内容类型
期刊论文 [4]
发表日期
2021 [2]
2016 [1]
2013 [1]
学科主题
筛选
浏览/检索结果:
共4条,第1-4条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Computational Experiments for Complex Social Systems--Part I: The Customization of Computational Model
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 15
作者:
Xue, Xiao
;
Chen, Fangyi
;
Zhou, Deyu
;
Wang, Xiao
;
Lu, Min
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/01/27
Computational modeling
Complex systems
Analytical models
Tools
Adaptation models
Standards
Solid modeling
Artificial society
computational experiments
computational model
customized design framework
Economic-Effective Multi-Energy Management Considering Voltage Regulation Networked With Energy Hubs
期刊论文
OAI收割
IEEE TRANSACTIONS ON POWER SYSTEMS, 2021, 卷号: 36, 期号: 3, 页码: 2503-2515
作者:
Zhao, Pengfei
;
Gu, Chenghong
;
Cao, Zhidong
;
Hu, Zechun
;
Zhang, Xin
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/06/07
Voltage control
Optimization
Uncertainty
Hydrogen
Economics
Quality management
Computational modeling
Distributionally robust optimization
energy hub
gas quality management
integrated energy system
two-stage framework
Graphine: Programming Graph-Parallel Computation of Large Natural Graphs for Multicore Clusters
期刊论文
OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2016, 卷号: 27, 期号: 6, 页码: 1647-1659
作者:
Yan, Jie
;
Tan, Guangming
;
Mo, Zeyao
;
Sun, Ninghui
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/13
Graph-parallel
parallel framework
computational model
Script-to-Movie: A Computational Framework for Story Movie Composition
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2013, 卷号: 15, 期号: 2, 页码: 401-414
作者:
Liang, Chao
;
Xu, Changsheng
;
Cheng, Jian
;
Min, Weiqing
;
Lu, Hanqing
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2015/08/12
Movie composition
script and video analysis
computational framework