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A comprehensive assessment of the importance of the "Maritime Silk Road" route based on multi-dimensional data-driven approaches 期刊论文
OCEAN & COASTAL MANAGEMENT, 2024, 卷号: 256, 页码: 15
作者:  Wang, Peng;  Hu, Qinyou;  Bai, Lu;  Xue, Tong;  Hu, Wenlong;  Mei, Qiang
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
Shipping network  Route evaluation  Maritime Silk Road  Heterogeneous data  
Structural analysis and vulnerability assessment of the European LNG maritime supply chain network (2018-2020) 期刊论文
OCEAN & COASTAL MANAGEMENT, 2024, 卷号: 253, 页码: 20
作者:  Mei, Qiang;  Hu, Qinyou;  Hu, Yu;  Yang, Yang;  Liu, Xiliang;  Huang, Zishuo;  Wang, Peng
收藏  |  浏览/下载：7/0  |  提交时间：2024/12/06
Liquefied natural gas  Supply chain security  Maritime transportation network  Vulnerability  Community evolution  Graph deep learning  
Construction of a large-scale maritime element semantic schema based on knowledge graph models for unmanned automated decision-making 期刊论文
FRONTIERS IN MARINE SCIENCE, 2024, 卷号: 11, 页码: 24
作者:  Li, Yong;  Liu, Xiaotong;  Wang, Zhishan;  Mei, Qiang;  Xie, Wenxin;  Yang, Yang;  Wang, Peng
收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06
knowledge graph  graph embedding  intelligent maritime  ship classification  similar berth recommendation  
Maritime greenhouse gas emission estimation and forecasting through AIS data analytics: a case study of Tianjin port in the context of sustainable development 期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 17
作者:  Xie, Wenxin;  Li, Yong;  Yang, Yang;  Wang, Peng;  Wang, Zhishan;  Li, Zhaoxuan;  Mei, Qiang;  Sun, Yaqi
收藏  |  浏览/下载：11/0  |  提交时间：2024/05/20
greenhouse gas  emission inventory  AIS  transformer  emission prediction  
Identification of Spoofing Ships from Automatic Identification System Data via Trajectory Segmentation and Isolation Forest 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 8, 页码: 22
作者:  Zheng, Hailin;  Hu, Qinyou;  Yang, Chun;  Mei, Qiang;  Wang, Peng;  Li, Kelong
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04
automatic identification system  spoofing ship  missing points  jumping points  trajectory segmentation  isolation forest  
Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks 期刊论文
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;  Wang, Zhishan;  Xie, Wenxin;  Yang, Yang;  Chen, Yuhaoran
收藏  |  浏览/下载：19/0  |  提交时间：2023/12/04
spatiotemporal graph neural network  traffic flow prediction  ship big data  AIS  port traffic prediction  
Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port 期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 19
作者:  Li, Yong;  Xie, Wenxin;  Yang, Yang;  Mei, Qiang;  Wang, Zhishan;  Li, Zhaoxuan;  Wang, Peng
收藏  |  浏览/下载：15/0  |  提交时间：2023/12/04
ship pollutant  carbon emissions inventory  Tianjin Port  AIS  transformer  forecast CO2 emissions  
Big data-driven carbon emission traceability list and characteristics of ships in maritime transportation-a case study of Tianjin Port 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 页码: 17
作者:  Wang, Peng;  Hu, Qinyou;  Xie, Wenxin;  Wu, Lin;  Wang, Fei;  Mei, Qiang
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Marine environment protection  Ship pollutants  Automatic identification system (AIS)  Data mining  
Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area 期刊论文
OCEAN ENGINEERING, 2022, 卷号: 266, 页码: 20
作者:  Yang, Yang;  Shao, Zheping;  Hu, Yu;  Mei, Qiang;  Pan, Jiacai;  Song, Rongxin;  Wang, Peng
收藏  |  浏览/下载：23/0  |  提交时间：2023/07/12
Geographical spatial analysis  Maritime accident  Fujian sea area  Machine learning  Accident prediction  
Evaluation methods of port dominance: A critical review 期刊论文
OCEAN & COASTAL MANAGEMENT, 2021, 卷号: 215, 页码: 11
作者:  Wang, Peng;  Hu, Qinyou;  Xu, Yongjun;  Mei, Qiang;  Wang, Fei
收藏  |  浏览/下载：30/0  |  提交时间：2022/06/21
Port dominance  Port competitiveness  Shipping network  Complex network