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... [44]
自动化研究所 [16]
计算技术研究所 [13]
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OAI收割 [135]
iSwitch采集 [3]
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期刊论文 [124]
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会议论文 [6]
学位论文 [2]
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浏览/检索结果:
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Flow-based fractal dimensions of urban road networks: Insights from 135 global cities
期刊论文
OAI收割
CITIES, 2026, 卷号: 172, 页码: 106820
作者:
Gao, Ying
;
Pei, Tao
;
Guo, Sihui
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2026/03/16
Road network
Road network flow space
Fractal dimension
Space-filling
Traffic congestion
Unveiling pattern and structure of inter-urban mobility: Integrating flow space and geospatial information
期刊论文
OAI收割
CITIES, 2026, 卷号: 171, 页码: 106789
作者:
Xian, Yue
;
Chen, Mingxing
;
Hu, Maogui
;
Chen, Liangkan
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2026/03/16
Interurban mobility network
Spatial clustering
Place-flow space
Tencent big data
Systemic risks and cascading dynamics in the global cobalt supply chain
期刊论文
OAI收割
ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY, 2026, 卷号: 29, 页码: 100654
作者:
Ouyang, Xin
;
Liu, Litao
;
Liu, Qiance
;
Chen, Wu
;
Wang, Chao
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2026/03/16
Cobalt
Material flow analysis
Supply chain
Multilayer network
Shock propagation
Modeling cascading risk diffusion in global container shipping network under dynamic flow reassignment
期刊论文
OAI收割
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2026, 卷号: 265, 页码: 111530
作者:
Xu, Yang
;
Peng, Peng
;
Claramunt, Christophe
;
Xie, Wenxin
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/09/22
Global container shipping network
Cascading failure
Vessel trajectory data
Shipping flow reassignment
Maritime safety
CL-DGCN: contrastive learning based deeper graph convolutional network for traffic flow data prediction
期刊论文
OAI收割
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2025, 卷号: 203, 页码: 18
作者:
Zhang, Enwei
;
Lv, Zhiqiang
;
Cheng, Zesheng
;
Ke, Jintao
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/03
Multimodal transportation
Traffic flow prediction
Graph convolutional network
Hyperaggregation function
Adaptive Flow Control Mechanism for Optical Switching Data Center Networks
期刊论文
OAI收割
JOURNAL OF LIGHTWAVE TECHNOLOGY, 2025, 卷号: 43, 期号: 17, 页码: 8245-8253
作者:
Yang, Changsheng
;
Xue, Xuwei
;
Guo, Bingli
;
Qiu, Zihan
;
Li, Wenzhe
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/03
Optical switches
Optical packet switching
Synchronization
Optical buffering
Adaptive optics
Resource management
Adaptive systems
Optical fibers
Dynamic scheduling
Delays
Adaptive flow control
data center network
optical switching network
packet contention resolution
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
  |  
收藏
  |  
浏览/下载:70/0
  |  
提交时间:2025/03/18
Tourism flow networks
Complex network
Steady-state Markov chains
Long-term prediction
Inter-node interactions
DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion
期刊论文
OAI收割
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2025, 卷号: 22, 期号: 4, 页码: 3646-3661
作者:
Zha, Chao
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/03
Feature extraction
Payloads
Network intrusion detection
Telecommunication traffic
Vectors
Graph neural networks
Radio frequency
Data mining
Training
Technological innovation
Intrusion detection
flow modal
payload modal
bilinear fusion
semantic
Determining pressure from velocity via physics-informed neural network
期刊论文
OAI收割
EUROPEAN JOURNAL OF MECHANICS B-FLUIDS, 2025, 卷号: 109, 页码: 1-21
作者:
Cai, Zemin
;
Lin, Xiangqi
;
Liu, Tianshu
;
Wu, Fan
;
Wang, Shizhao
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2024/10/08
Pressure
Velocity
PINN
Machine learning
Neural network
Flow
Navier-Stokes equations
Predicting origin-destination flows by considering heterogeneous mobility patterns
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106015
作者:
Zhao, Yibo
;
Cheng, Shifen
;
Gao, Song
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2025/02/24
Origin-destination flow
Spatial interaction
Urban mobility
Spatial heterogeneity
Imbalanced data learning
Graph attention network