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
地理科学与资源研究... [33]
自动化研究所 [16]
数学与系统科学研究院 [5]
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沈阳自动化研究所 [4]
计算技术研究所 [3]
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OAI收割 [89]
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期刊论文 [74]
会议论文 [9]
SCI/SSCI论文 [4]
CNKI期刊论文 [1]
EI期刊论文 [1]
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2024 [7]
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Exploring the power landscape of global agri-food systems based on mergers and acquisitions data of agri-food companies
期刊论文
OAI收割
APPLIED GEOGRAPHY, 2025, 卷号: 175, 页码: 103512
作者:
Yang, Xinyu
;
Xia, Wanqu
;
Song, Zhouying
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2025/02/24
Global agri-food systems
Merger and acquisition
Agri-food companies
Corporate power
Network analysis
Global Traction Battery Cathode Material Industrial Chain Trade Analysis: A Multilayer Modeling Approach
期刊论文
OAI收割
ENTROPY, 2024, 卷号: 26, 期号: 11, 页码: 895
作者:
Peng, Peng
;
Xu, Yang
;
Yu, Li
;
Xie, Xiaowei
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2025/01/17
global traction battery trade
multilayer network
electric vehicle
lithium-ion battery
An Analysis of Container Transportation Multiplex Networks from the Perspective of Shipping Company
期刊论文
OAI收割
WEB AND WIRELESS GEOGRAPHICAL INFORMATION SYSTEMS, W2GIS 2024, 2024, 卷号: 14673, 页码: 183-191
作者:
Xu, Yang
;
Peng, Peng
;
Claramunt, Christophe
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/10/21
Global Container Shipping Network
Complex Networks
Vessel Trajectory Data
Uncovering the multiplex network of global container shipping: Insights from shipping companies
期刊论文
OAI收割
JOURNAL OF TRANSPORT GEOGRAPHY, 2024, 卷号: 120, 页码: 103991
作者:
Xu, Yang
;
Peng, Peng
;
Lu, Feng
;
Claramunt, Christophe
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/10/21
Global container shipping
Multiplex network
Shipping company
Vessel trajectory data
Cascading failure modelling in global container shipping network using mass vessel trajectory data
期刊论文
OAI收割
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 249, 页码: 110231
作者:
Xu, Yang
;
Peng, Peng
;
Claramunt, Christophe
;
Lu, Feng
;
Yan, Ran
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/07/12
Port
Global Container shipping network
Cascading failure
Complex networks
Vessel trajectory data
Water consumption and biodiversity: Responses to global emergency events
期刊论文
OAI收割
SCIENCE BULLETIN, 2024, 卷号: 69, 期号: 16, 页码: 2632-2646
作者:
Zhao, Dandan
;
Liu, Junguo
;
Sun, Laixiang
;
Hubacek, Klaus
;
Pfister, Stephan
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/11/28
China
Global emergency events
Water-biodiversity causal effect
COVID-19
Biodiversity
MRIO-enhanced DPSIR framework
Supply-chain network
High-resolution water consumption dataset
Supply-constrained multi-regional input-
Exploiting global contextual information for document-level named entity recognition
期刊论文
OAI收割
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 284, 页码: 10
作者:
Yu, Yiting
;
Wang, Zanbo
;
Wei, Wei
;
Zhang, Ruihan
;
Mao, Xian-Ling
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/05/20
Named entity recognition
Global contextual information
Graph neural network
Epistemic uncertainty
Prediction of 3-D Ocean Temperature Based on Self-Attention and Predictive RNN
期刊论文
OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:
Yue, Weihao
;
Xu, Yongsheng
;
Xiang, Liang
;
Zhu, Shanliang
;
Huang, Chao
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/06/04
Climate change
Recurrent neural networks
Temperature measurement
Ocean temperature
Predictive models
Global gridded temperature data with Barnes objective analysis (BOA-ARGO)
predictive recurrent neural network (PredRNN)
self-attention
Spatial pattern of global submarine cable network and identification of strategic pivot and strategic channel
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2023, 卷号: 33, 期号: 4, 页码: 719-740
作者:
Xie, Yongshun
;
Wang, Chengjin
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/06/10
submarine cable network
spatial pattern
strategic pivot
strategic channel
global scale
A Global and Multiscale Denoising Method Based on Generative Adversarial Network for DAS VSP Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:
Ma, Haitao
;
Yu, Jingye
;
Wang, Yibo
;
Wu, Ning
;
Li, Yue
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/12/27
Distributed acoustic sensing (DAS)
generative adversarial network (GAN)
global information discriminator
multiscale noise suppression
U-Net