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所 [6]
自动化研究所 [4]
心理研究所 [3]
数学与系统科学研究院 [2]
计算技术研究所 [1]
成都生物研究所 [1]
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OAI收割 [18]
内容类型
期刊论文 [17]
会议论文 [1]
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2026 [2]
2025 [1]
2024 [3]
2023 [1]
2022 [1]
2021 [1]
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Biology [1]
Computer S... [1]
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Prioritizing climate action maximizes synergies among global environmental SDGs: A causal network analysis
期刊论文
OAI收割
APPLIED GEOGRAPHY, 2026, 卷号: 189, 页码: 103938
作者:
Huan, Yizhong
;
Wu, Fei
;
Li, Xiaoyun
;
Wang, Jing
;
Su, Yiming
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2026/03/16
Sustainable development
Environmental governance
Causal interaction
Network analysis
Machine learning
Resilience
Priorities for enhancing resilience of SDG causal network from a human-nature perspective
期刊论文
OAI收割
RESOURCES CONSERVATION AND RECYCLING, 2026, 卷号: 228, 页码: 108774
作者:
Su, Yiming
;
Zhou, Guangjin
;
Wang, Mingyuan
;
Li, Xiaoyun
;
Liang, Tao
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/02/09
Sustainable development
Human-earth system
Causal interaction
Scenario simulation
Network resilience
Global governance
Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106044
作者:
Wang, Peixiao
;
Zhang, Hengcai
;
Cheng, Shifen
;
Zhang, Tong
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2025/02/24
Spatiotemporal prediction
Spatiotemporal data missing
Causal dilatation convolution
Graph attention network
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model
期刊论文
OAI收割
SPATIAL DATA AND INTELLIGENCE, SPATIALDI 2024, 2024, 卷号: 14619, 页码: 242-251
作者:
Wang, Peixiao
;
Zhang, Hengcai
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2024/10/21
Spatiotemporal prediction
spatiotemporal data missing
causal dilatation convolution
graph attention network
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:79/0
  |  
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-
Causal analysis reveals that ecosystem structure and function are temperature-dominated but relatively independent
期刊论文
OAI收割
ECOLOGICAL INDICATORS, 2024, 卷号: 165, 页码: 11
作者:
Luo, Wenxing
;
Yang, Junqi
;
Wang, Yanfen
;
Cui, Xiaoyong
;
Zhang, Leiming
  |  
收藏
  |  
浏览/下载:135/0
  |  
提交时间:2024/08/30
Temperate grassland
Climate change
Ecosystem structure and function
Causal network
Dominant driver
Ecosystem stability
Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks
期刊论文
OAI收割
APPLIED ENERGY, 2023, 卷号: 331, 页码: 20
作者:
Li, Dan
;
Li, Yijun
  |  
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2023/02/07
Carbon price forecast
Granger forecast
Real-time decomposition
Neural Granger causality
Causal temporal convolutional network
CGCNImp: a causal graph convolutional network for multivariate time series imputation
期刊论文
OAI收割
PEERJ COMPUTER SCIENCE, 2022, 卷号: 8, 页码: 23
作者:
Liu, Caizheng
;
Cui, Guangfan
;
Liu, Shenghua
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/12/07
Multivariate time series imputation
Graph causal analysis
Graph neural network
Deep neural network
Online Audio-Visual Speech Separation with Generative Adversarial Training
会议论文
OAI收割
线上会议, 2021-4-23
作者:
Zhang Peng
;
Xu Jiaming
;
Hao Yunzhe
;
Xu Bo
  |  
收藏
  |  
浏览/下载:99/0
  |  
提交时间:2021/06/21
audio-visual speech separation
online processing
generative adversarial training
causal temporal convolutional network
Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting
期刊论文
OAI收割
ENERGY CONVERSION AND MANAGEMENT, 2020, 卷号: 226, 页码: 15
作者:
Zhang, Guowei
;
Liu, Da
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/04/26
Causal convolutional network
Gated recurrent unit
Multiple decomposition methods
Short-term wind speed forecasting