Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things-Reference-Cited by-同舟云学术

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things

Author:

Liu Ryan Wen¹^ORCID,Liang Maohan¹^ORCID,Nie Jiangtian²^ORCID,Lim Wei Yang Bryan³^ORCID,Zhang Yang⁴^ORCID,Guizani Mohsen⁵^ORCID

Affiliation:

1. School of Navigation, Wuhan University of Technology, Wuhan, China

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore

3. Alibaba Group and Alibaba-NTU Joint Research Institute (JRI), Nanyang Technological University (NTU), Singapore

4. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

5. Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE

Funder

National Natural Science Foundation of China

Alibaba Group through Alibaba Innovative Research

Nanyang Technological University

National Research Foundation Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

Reference72 articles.

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