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
成都山地灾害与环境... [18]
地理科学与资源研究... [17]
自动化研究所 [14]
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OAI收割 [77]
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期刊论文 [59]
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会议论文 [6]
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2025 [1]
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Short- and long-term prediction and determinant analysis of tourism flow networks: A novel steady-state Markov chain method
期刊论文
OAI收割
TOURISM MANAGEMENT, 2025, 卷号: 109, 页码: 105139
作者:
Liu, Jun
;
Li, Xiaohan
;
Yang, Yang
;
Tan, Yuwei
;
Geng, Tianhang
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收藏
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浏览/下载:10/0
  |  
提交时间:2025/03/18
Tourism flow networks
Complex network
Steady-state Markov chains
Long-term prediction
Inter-node interactions
A novel framework for predicting glacial lake outburst debris flows in the Himalayas amidst climate change
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 946, 页码: 13
作者:
Zhou, Bin
;
Zou, Qiang
;
Jiang, Hu
;
Yang, Tao
;
Zhou, Wentao
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收藏
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浏览/下载:15/0
  |  
提交时间:2024/08/19
Glacial lake outburst debris flow
Occurrence probability
Prediction
Climate change
Himalayas
Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions
期刊论文
OAI收割
ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22
作者:
Jiang, Hu
;
Zou, Qiang
;
Zhu, Yunqiang
;
Li, Yong
;
Zhou, Bin
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/10/08
Spatiotemporal prediction
Rainfall-driven debris flow
Deep learning
Machine learning
Rainfall features
Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions
期刊论文
OAI收割
ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22
作者:
Jiang, Hu
;
Zou, Qiang
;
Zhu, Yunqiang
;
Li, Yong
;
Zhou, Bin
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/08/14
Spatiotemporal prediction
Rainfall-driven debris flow
Deep learning
Machine learning
Rainfall features
Multi-faceted spatio-temporal network for weather-aware air traffic flow prediction in multi-airport system
期刊论文
OAI收割
CHINESE JOURNAL OF AERONAUTICS, 2024, 卷号: 37, 期号: 7, 页码: 301-316
作者:
Cai, Kaiquan
;
Tang, Shuo
;
Qian, Shengsheng
;
Shen, Zhiqi
;
Yang, Yang
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/09/09
Air traffic control
Graph neural network
Multi-faceted information
Air traffic flow prediction
Multi-airport system
Machine-Learning-Based Prediction Modeling for Debris Flow Occurrence: A Meta-Analysis
期刊论文
OAI收割
WATER, 2024, 卷号: 16, 期号: 7, 页码: 22
作者:
Yang, Lianbing
;
Ge, Yonggang
;
Chen, Baili
;
Wu, Yuhong
;
Fu, Runde
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收藏
  |  
浏览/下载:29/0
  |  
提交时间:2024/05/20
machine learning
debris flow
occurrence
prediction
meta-analysis
Machine-Learning-Based Prediction Modeling for Debris Flow Occurrence: A Meta-Analysis
期刊论文
OAI收割
WATER, 2024, 卷号: 16, 期号: 7, 页码: 22
作者:
Yang, Lianbing
;
Ge, Yonggang
;
Chen, Baili
;
Wu, Yuhong
;
Fu, Runde
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收藏
  |  
浏览/下载:22/0
  |  
提交时间:2024/05/15
machine learning
debris flow
occurrence
prediction
meta-analysis
Super Resolution Graph With Conditional Normalizing Flows for Temporal Link Prediction
期刊论文
OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 3, 页码: 1311-1327
作者:
Yin, Yanting
;
Wu, Yajing
;
Yang, Xuebing
;
Zhang, Wensheng
;
Yuan, Xiaojie
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收藏
  |  
浏览/下载:30/0
  |  
提交时间:2024/05/30
Noise measurement
Feature extraction
Task analysis
Superresolution
Data mining
Predictive models
Information processing
Temporal link prediction
dynamic graphs
super-resolution
conditional normalizing flow
Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks
期刊论文
OAI收割
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 7, 页码: 18
作者:
Li, Yong
;
Li, Zhaoxuan
;
Mei, Qiang
;
Wang, Peng
;
Hu, Wenlong
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/12/04
spatiotemporal graph neural network
traffic flow prediction
ship big data
AIS
port traffic prediction
Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction
期刊论文
OAI收割
CONNECTION SCIENCE, 2022, 卷号: 34, 期号: 1, 页码: 1252-1272
作者:
Zhao, Chuan
;
Li, Xin
;
Shao, Zezhi
;
Yang, HongJi
;
Wang, Fei
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2022/12/07
Metro passenger flow prediction
deep learning
multi-featured spatial-temporal tensor
dynamic multi-graph neural network