×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
兰州理工大学 [5]
心理研究所 [3]
金属研究所 [2]
数学与系统科学研究院 [2]
自动化研究所 [2]
地理科学与资源研究所 [1]
更多...
内容类型
期刊论文 [18]
学位论文 [2]
发表日期
2021 [20]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共20条,第1-10条
帮助
限定条件
发表日期:2021
已选(
0
)
清除
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
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Boosting the comprehensive performance for a Co-free high-voltage system with a multi-component nitrile
期刊论文
NEW JOURNAL OF CHEMISTRY, 2021, 卷号: 45, 期号: 44, 页码: 20681-20689
作者:
Zhang, Ping
;
Li, Shi-You
;
Wei, Xiao-Hong
;
Li, Chun-Lei
;
Meng, Shu-Juan
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/12/17
Interaction between urbanization and the eco-environment in the Pan-Third Pole region
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 789, 页码: 13
作者:
Feng, Yuxue
;
He, Sanwei
;
Li, Guangdong
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2021/11/05
Urbanization
Eco-environment
Coupling
Spatio-temporal pattern
The Pan-Third Pole
A bibliometric analysis of 30 years of platform research: Developing the research agenda for platforms, the associated technologies and social impacts
期刊论文
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 卷号: 169, 页码: 22
作者:
Liu, He
;
Li, Xuerong
;
Wang, Shouyang
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/10/26
Platform research
Bibliometric analysis
Co-citation analysis
Research agenda
Grain size effect on tensile deformation behaviors of pure aluminum
期刊论文
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2021, 卷号: 820, 页码: 9
作者:
Wang, B. B.
;
Xie, G. M.
;
Wu, L. H.
;
Xue, P.
;
Ni, D. R.
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/10/15
Grain size effect
Tensile properties
Hall-petch relationship
Strengthening mechanism
Effect of work-hardening capacity on the gradient layer properties of metallic materials processed by surface spinning strengthening
期刊论文
MATERIALS CHARACTERIZATION, 2021, 卷号: 177, 页码: 10
作者:
Ren, C. X.
;
Wang, Q.
;
Hou, J. P.
;
Zhang, Z. J.
;
Zhang, Z. F.
收藏
  |  
浏览/下载:85/0
  |  
提交时间:2021/11/16
Metallic materials
Surface strengthening
Work-hardening
Strength
Microhardness
Gradient microstructure
Towards effective learning for face super-resolution with shape and pose perturbations
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 220, 页码: 10
作者:
Hu, Xiyuan
;
Fan, Zhenfeng
;
Jia, Xu
;
Li, Zhihui
;
Zhang, Xuyun
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/12/01
Convolutional neural networks
Face super-resolution
Facial landmarks
3D face model
Recent Advances on Natural Gas Hydrate Exploration and Development in the South China Sea
期刊论文
ENERGY & FUELS, 2021, 卷号: 35, 期号: 9, 页码: 7528-7552
作者:
Liu, Jian-Wu
;
Li, Xiao-Sen
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/10/27
A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:
Qiao, Hong
;
Chen, Jiahao
;
Huang, Xiao
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/01/27
Robots
Visualization
Task analysis
Brain modeling
Musculoskeletal system
Motion control
Decision making
Brain-inspired intelligent robots
decision making
muscle control
musculoskeletal robots
visual cognition
The relationship between failure mechanism of nickel-rich layered oxide for lithium batteries and the research progress of coping strategies: a review
期刊论文
IONICS, 2021, 页码: 36
作者:
Zhu, Boyuan
;
Yu, Zhihui
;
Meng, Long
;
Xu, Ziyang
;
Lv, Caixia
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/08/31
Lithium-ion battery
Nickel-rich layered oxide
Mechanism discussion
Modification strategy
Density functional theory simulation
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Liu, Yixin
;
Li, Zhao
;
Pan, Shirui
;
Gong, Chen
;
Zhou, Chuan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/04/02
Anomaly detection
Task analysis
Graph neural networks
Unsupervised learning
Predictive models
Pattern matching
Training
Anomaly detection
attributed networks
contrastive self-supervised learning
graph neural networks (GNNs)
unsupervised learning
©版权所有 ©2017 CSpace - Powered by
CSpace