机构

• 自动化研究所 [13]
• 计算技术研究所 [4]
• 地理科学与资源研究所 [2]
• 沈阳自动化研究所 [2]

采集方式

• OAI收割 [21]

内容类型

• 期刊论文 [18]
• 学位论文 [2]
• 会议论文 [1]

发表日期

• 2026 [1]
• 2025 [1]
• 2024 [1]
• 2023 [1]
• 2022 [5]
• 2021 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共21条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序作者升序作者降序 Spatio-temporal tree attention network for forecasting traffic flow 期刊论文  OAI收割 NEUROCOMPUTING, 2026, 卷号: 676, 页码: 14 作者:  Li, Haoran;  Lv, Zhiqiang;  Ma, Zhaobin;  Li, Jianbo;  Ma, Xiaolong   |  收藏  |  浏览/下载：3/0  |  提交时间：2026/05/25 Traffic flow prediction  Tree attention mechanism  Spatio-temporal features  Intelligent data analysis   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：5/0  |  提交时间：2025/12/03 Multimodal transportation  Traffic flow prediction  Graph convolutional network  Hyperaggregation function   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：56/0  |  提交时间：2024/09/09 Air traffic control  Graph neural network  Multi-faceted information  Air traffic flow prediction  Multi-airport system   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：58/0  |  提交时间：2023/12/04 spatiotemporal graph neural network  traffic flow prediction  ship big data  AIS  port traffic prediction   AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15 作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong   |  收藏  |  浏览/下载：62/0  |  提交时间：2023/02/22 Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction   GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow 期刊论文  OAI收割 SENSORS, 2022, 卷号: 22, 期号: 22, 页码: 14 作者:  Cai, Benhe;  Wang, Yanhui;  Huang, Chong;  Liu, Jiahao;  Teng, Wenxin   |  收藏  |  浏览/下载：65/0  |  提交时间：2022/12/23 GLSNN model  spatiotemporal data fusion  multi-scale  traffic flow prediction  spatiotemporal dependence   GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow 期刊论文  OAI收割 SENSORS, 2022, 卷号: 22, 期号: 22, 页码: 14 作者:     |  收藏  |  浏览/下载：60/0  |  提交时间：2022/12/23 GLSNN model  spatiotemporal data fusion  multi-scale  traffic flow prediction  spatiotemporal dependence   Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14 作者:  Liang, Maohan;  Liu, Ryan Wen;  Zhan, Yang;  Li, Huanhuan;  Zhu, Fenghua   |  收藏  |  浏览/下载：58/0  |  提交时间：2022/11/14 Traffic flow prediction  maritime traffic network  multi-graph convolutional network  automatic identification system (AIS)   Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 2, 页码: 17 作者:  Zhang, Chi;  Zhou, Hong-Yu   |  收藏  |  浏览/下载：71/0  |  提交时间：2022/12/07 traffic flow forecasting  spatial-temporal prediction  graph convolutional networks  augmented multi-component   MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 14 作者:  Fang, Shen;  Prinet, Veronique;  Chang, Jianlong;  Werman, Michael;  Zhang, Chunxia   |  收藏  |  浏览/下载：63/0  |  提交时间：2022/01/27 Feature extraction  Convolution  Predictive models  Data models  Correlation  Roads  Kernel  Graph convolution  deep attention mechanism  traffic network  traffic flow prediction  artificial intelligence  deep learning