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浏览/检索结果: 共87条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序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 MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data 期刊论文  OAI收割 ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 4587, 卷号: 19, 期号: 7, 页码: 130 作者:  Zhou, Jianping;  Bin Lu;  Liu, Zhanyu;  Pan, Siyu;  Feng, Xuejun   |  收藏  |  浏览/下载：4/0  |  提交时间：2026/01/21 Traffic Data Imputation  Graph Neural Network   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;  Wang, Xi;  Wu, Mingbo   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/03/16 Road network  Road network flow space  Fractal dimension  Space-filling  Traffic congestion   EfficientSTNet: A Deep Learning Approach for Multi-Class DDoS Detection 期刊论文  OAI收割 IEEE ACCESS, 2025, 卷号: 13, 页码: 157587-157599 作者:  Zhang, Lei;  Bai, Yujuan;  Xue, Tao;  Feng GH(冯冠华);  Zhang, Haibin   |  收藏  |  浏览/下载：17/0  |  提交时间：2025/10/27 Feature extraction  Denial-of-service attack  Computer crime  Entropy  Deep learning  Accuracy  Floods  Telecommunication traffic  Computational modeling  Autoencoders  DDoS  DDoS attack detection  convolutional neural network  deep learning  self-attention mechanism   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：48/0  |  提交时间：2024/09/09 Air traffic control  Graph neural network  Multi-faceted information  Air traffic flow prediction  Multi-airport system   DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting 期刊论文  OAI收割 IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 12, 页码: 22208-22219 作者:  Qin, Yanjun;  Tao, Xiaoming;  Fang, Yuchen;  Luo, Haiyong;  Zhao, Fang   |  收藏  |  浏览/下载：53/0  |  提交时间：2024/12/06 Time series analysis  Convolution  Forecasting  Correlation  Task analysis  Roads  Predictive models  Graph convolution network (GCN)  spatial-temporal data  traffic forecasting   PreSTNet: Pre-trained Spatio-Temporal Network for traffic forecasting 期刊论文  OAI收割 INFORMATION FUSION, 2024, 卷号: 106, 页码: 13 作者:  Fang, Shen;  Ji, Wei;  Xiang, Shiming;  Hua, Wei   |  收藏  |  浏览/下载：56/0  |  提交时间：2024/07/03 Traffic forecasting  Spatio-temporal graph neural network  Pre-training   STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting 期刊论文  OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 6, 页码: 2671-2685 作者:  Fang, Yuchen;  Qin, Yanjun;  Luo, Haiyong;  Zhao, Fang;  Zheng, Kai   |  收藏  |  浏览/下载：46/0  |  提交时间：2024/12/06 Market research  Forecasting  Roads  Time series analysis  Sensors  Correlation  Encoding  Contrastive learning  graph attention network  spatio-temporal data  traffic forecasting   Spatio-temporal fusion graph convolutional network for traffic flow forecasting 期刊论文  OAI收割 INFORMATION FUSION, 2024, 卷号: 104, 页码: 11 作者:  Ma, Ying;  Lou, Haijie;  Yan, Ming;  Sun, Fanghui;  Li, Guoqi   |  收藏  |  浏览/下载：64/0  |  提交时间：2024/02/22 Graph convolutional network  Spatio-temporal data  Traffic forecasting   MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction 期刊论文  OAI收割 TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 卷号: 160, 页码: 20 作者:  Li, Biyue;  Li, Zhishuai;  Chen, Jun;  Yan, Yongjie;  Lv, Yisheng   |  收藏  |  浏览/下载：51/0  |  提交时间：2024/07/03 Airspace Complexity Prediction  Air Traffic Management  Spatio-temporal Graph Neural Network  Graph Convolutional Neural Network  Attention Mechanism   Visualizing road connectivity under traffic influence: a CiteSpace-based method 期刊论文  OAI收割 CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE, 2024, 卷号: N/A 作者:  Jiang, Linfeng;  Jiang, Jingyu;  Liu, Xiaohan;  Fang, Zidong;  Liu, Tianyu   |  收藏  |  浏览/下载：64/0  |  提交时间：2024/04/08 CiteSpace  visualization  connectivity  traffic pattern  road network