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CL-DGCN: contrastive learning based deeper graph convolutional network for traffic flow data prediction 期刊论文
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：9/0  |  提交时间：2025/12/03
Multimodal transportation  Traffic flow prediction  Graph convolutional network  Hyperaggregation function  
DM-IDS-A Network Intrusion Detection Method Based on Dual-Modal Fusion 期刊论文
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2025, 卷号: 22, 期号: 4, 页码: 3646-3661
作者:  Zha, Chao;  Wang, Zhiyu;  Fan, Yifei;  Bai, Bing;  Zhang, Yinjie;  Shi, Sainan;  Zhang, Ruyun
收藏  |  浏览/下载：8/0  |  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  
Statistical Multiplexing Gain Analysis of Centralized Open Radio Access Networks With Limited Cells and Heterogeneous Traffics 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2025, 卷号: 74, 期号: 8, 页码: 13056-13074
作者:  Wang, Lu;  Zhou, Yiqing;  Liu, Ya-Feng;  Liu, Ling;  Shi, Ningzhe;  Tian, Lin;  Shi, Jinglin
收藏  |  浏览/下载：12/0  |  提交时间：2025/12/03
Open RAN  STEM  Solid modeling  Multiplexing  Internet of Things  Heavily-tailed distribution  Telecommunication traffic  Quantization (signal)  Quality of service  Protocols  O-RAN  statistical multiplexing gain  limited number of cells  heterogeneous traffics  Gaussian mixture model  
Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning 期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2025, 卷号: 24, 期号: 7, 页码: 5598-5614
作者:  Xue, Jingjing;  Sun, Sheng;  Liu, Min;  Wang, Yuwei;  Meng, Xuying;  Wang, Jingyuan;  Zhang, JunBo;  Xu, Ke
收藏  |  浏览/下载：7/0  |  提交时间：2025/12/03
Predictive models  Forecasting  Data models  Market research  Fluctuations  Computational modeling  Training  Telecommunication traffic  Adaptation models  Mathematical models  Network traffic forecast  federated learning (FL)  heterogeneous data  multi-scale representation  personalized fusion  
Accelerating traffic engineering optimization for segment routing: A recommendation perspective 期刊论文
COMPUTER NETWORKS, 2025, 卷号: 264, 页码: 12
作者:  Wang, Linghao;  Wang, Miao;  Lin, Chungang;  Zhang, Yujun
收藏  |  浏览/下载：23/0  |  提交时间：2025/06/25
Traffic engineering  Segment routing  Routing optimization  
Adaptive and Low-Cost Traffic Engineering: A Traffic Matrix Clustering Perspective 期刊论文
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2025, 卷号: 43, 期号: 2, 页码: 510-523
作者:  Liu, Yi;  Geng, Nan;  Xu, Mingwei;  Yang, Yuan;  Dong, Enhuan;  Liu, Chenyi;  Gan, Qiaoyin;  Li, Qing;  Wu, Jianping
收藏  |  浏览/下载：45/0  |  提交时间：2025/06/25
Routing  Real-time systems  Feature extraction  Computational modeling  Clustering algorithms  Quality of service  Optimization models  Classification algorithms  Transforms  Topology  Traffic engineering  traffic matrix classification  machine learning  
SNS: Smart Node Selection for Scalable Traffic Engineering in Segment Routing Networks 期刊论文
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2025, 卷号: 22, 期号: 1, 页码: 92-106
作者:  Wang, Linghao;  Lu, Lu;  Wang, Miao;  Li, Zhiqiang;  Yang, Hongwei;  Zhu, Shuyong;  Zhang, Yujun
收藏  |  浏览/下载：43/0  |  提交时间：2025/06/25
Scalability  Routing  Costs  Computational modeling  Network topology  Task analysis  Topology  Traffic engineering  segment routing  reinforcement learning  routing optimization  
REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 16
作者:  Liu, Qingxiang;  Sun, Sheng;  Liang, Yuxuan;  Xu, Xiaolong;  Liu, Min;  Bilal, Muhammad;  Wang, Yuwei;  Li, Xujing;  Zheng, Yu
收藏  |  浏览/下载：22/0  |  提交时间：2025/06/25
Predictive models  Concept drift  Correlation  Forecasting  Computational modeling  Data models  Optimization  Adaptation models  Urban areas  Training  Traffic flow forecasting  federated learning  concept drift  online learning  graph convolution  
VTSIM: Attention-Based Recurrent Neural Network for Intersection Vehicle Trajectory Simulation 期刊论文
COMPUTER ANIMATION AND VIRTUAL WORLDS, 2024, 卷号: 35, 期号: 6, 页码: 12
作者:  Liu, Jingyao;  Mao, Tianlu;  Wang, Zhaoqi
收藏  |  浏览/下载：20/0  |  提交时间：2025/06/25
attention networks  intersection traffic  traffic simulation  vehicle trajectories  
Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13
作者:  Liu, Qingxiang;  Sun, Sheng;  Liu, Min;  Wang, Yuwei;  Gao, Bo
收藏  |  浏览/下载：40/0  |  提交时间：2024/12/06
Predictive models  Forecasting  Servers  Correlation  Data models  Federated learning  Adaptation models  online learning  spatio-temporal correlation  traffic flow forecasting