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CASIA OpenIR
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Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:  Qu, Jingxiang;  Liu, Ryan Wen;  Zhao, Chenjie;  Guo, Yu;  Xu, Sendren Sheng-Dong;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：45/0  |  提交时间：2024/02/22
Waterborne transportation  intelligent maritime surveillance  vessel draft reading (VDR)  multi-task learning  image segmentation  
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:  Guo, Yu;  Liu, Ryan Wen;  Qu, Jingxiang;  Lu, Yuxu;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：68/0  |  提交时间：2023/11/17
Inland waterways  vessel traffic surveillance  deep neural network  anti-occlusion tracking  data fusion  
Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 17
作者:  Wang, Fei-Yue;  Lin, Yilun;  Ioannou, Petros A.;  Vlacic, Ljubo;  Liu, Xiaoming;  Eskandarian, Azim;  Lv, Yisheng;  Na, Xiaoxiang;  Cebon, David;  Ma, Jiaqi;  Li, Lingxi;  Olaverri-Monreal, Cristina
收藏  |  浏览/下载：106/0  |  提交时间：2023/11/16
Intelligent transportation systems  cyber-physical-social systems  parallel intelligence  knowledge automation  DAOs  transportation 5.0  
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks 期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:  Wei Zhang;  Fenghua Zhu;  Yisheng Lv;  Chang Tan;  Wen Liu;  Xin Zhang;  Fei-Yue Wang
Adobe PDF(2619Kb)  |  收藏  |  浏览/下载：366/123  |  提交时间：2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：376/71  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2021, 页码: 10
作者:  Guo, Ge;  Yuan, Wei;  Liu, Jinyuan;  Lv, Yisheng;  Liu, Wei
收藏  |  浏览/下载：138/0  |  提交时间：2022/01/27
Correlation  Spatiotemporal phenomena  Forecasting  Data models  Deep learning  Convolution  Predictive models  
Fiber-Optic Auditory Nerve of Ground in the Suburb: For Traffic Flow Monitoring 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 166704-166710
作者:  Liang, Sheng;  Zhao, Xiaoting;  Liu, Ruijun;  Zhang, Xiaodong;  Wang, Liang;  Zhang, Xinghua;  Lv, Yisheng;  Meng, Fanchao
收藏  |  浏览/下载：264/0  |  提交时间：2020/03/30
Fiber-optic distributed vibration sensor (DVS)  fiber-optic nerve of ground  phi-OTDR  smart ground  Internet of Things (IoT)  smart traffic  traffic flow  
An efficient realization of deep learning for traffic data imputation 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 卷号: 72, 页码: 168-181
作者:  Duan, Yanjie;  Lv, Yisheng;  Liu, Yu-Liang;  Wang, Fei-Yue
Adobe PDF(824Kb)  |  收藏  |  浏览/下载：568/278  |  提交时间：2017/02/14
Traffic Data Imputation  Deep Learning  Missing Data