Application of Artificial Intelligence in Maritime Transportation/Применение искусственного интеллекта в морских перевозках

Издание на английском языке
The book is devoted to the application of artificial intelligence in maritime logistics and transport, emphasizing its role in improving efficiency and safety in the context of globalization. She is exploring how AI can optimize ship routes, improve autonomous navigation, improve the accuracy of ship detection and tracking, and improve cooperation between ships and ports. The focus is on innovative technologies and models that help avoid accidents and reduce environmental impacts by making maritime transportation smarter and more sustainable.

Contents
Xinqiang Chen, Dongfang Ma and Ryan Wen Liu
Application of Artificial Intelligence in Maritime Transportation
Reprinted from: J. Mar. Sci. Eng. 2024,12,439, doi:10.3390/jmse12030439
Yongsheng Yang, Shu Sun, Meisu Zhong, Junkai Feng, Furong Wen and Haitao Song
A Refined Collaborative Scheduling Method for Multi-Equipment at U-Shaped Automated Container Terminals Based on Rail Crane Process Optimization
Reprinted from: J. Mar. Sci. Eng. 2023,11, 605, doi:10.3390/jmse11030605
Yingdong Ye, Rong Zhen, Zheping Shao, Jiacai Pan and Yubing Lin
A Novel Intelligent Ship Detection Method Based on Attention Mechanism Feature Enhancement
Reprinted from: J. Mar. Sci. Eng. 2023,11, 625, doi:10.3390/jmse11030625
Hongfen Bai, Bo Yu and Wei Gu
Research on Position Sensorless Control of RDT Motor Based on Improved SMO with Continuous Hyperbolic Tangent Function and Improved Feedforward PLL
Reprinted from: J. Mar. Sci. Eng. 2023,11, 642, doi:10.3390/jmse11030642
Liang Chen, Changhai Huang and Yanhao Wang
A Study on the Correlation between Ship Movement Characteristics and Ice Conditions in Polar Waters
Reprinted from: J. Mar. Sci. Eng. 2023,11,729, doi:10.3390/jmse11040729
Yue Ma, Bo Li, Wentao Huang and Qinqin Fan
An Improved NSGA-II Based on Multi-Task Optimization for Multi-UAV Maritime Search and Rescue under Severe Weather
Reprinted from: J. Mar. Sci. Eng. 2023,11, 781, doi:10.3390/jmse11040781
Zhipeng Li, Bonan Wang, Xianbin Wang, Chao Zhang and Xu Meng
Modelling, Linearity Analysis and Optimization of an Inductive Angular Displacement Sensor Based on Magnetic Focusing in Ships
Reprinted from: J. Mar. Sci. Eng. 2023,11,1028, doi:10.3390/jmse11051028
Jiansen Zhao, Fengchuan Song, Guobao Gong and Shengzheng Wang
Improved UNet-Based Shoreline Detection Method in Real Time for Unmanned Surface Vehicle
Reprinted from: J. Mar. Sci. Eng. 2023,11,1049, doi:10.3390/jmse11051049
Shunan Hu, Shenpeng Tian, Jiansen Zhao and Ruiqi Shen
Path Planning of an Unmanned Surface Vessel Based on the Improved A-Star and Dynamic Window Method
Reprinted from: J. Mar. Sci. Eng. 2023,11,1060, doi:10.3390/jmse11051060
Kai Yan, Yanhui Wang, Wenhao Wang, Chunfu Qiao, Bing Chen and Limin Jia
A System-Theory and Complex Network-Fused Approach to Analyze Vessel-Wind Turbine Allisions in Offshore Wind Farm Waters
Reprinted from: J. Mar. Sci. Eng. 2023,11,1306, doi:10.3390/jmse11071306
Zhenzhen Zhou, Jiansen Zhao, Xinqiang Chen and Yanjun Chen
A Ship Tracking and Speed Extraction Framework in Hazy Weather Based on Deep Learning
Reprinted from: J. Mar. Sci. Eng. 2023,11,1353, doi:10.3390/jmse11071353
Yong Li, Zhaoxuan Li, Qiang Mei, Peng Wang, Wenlong Hu, Zhishan Wang, et al.
Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks
Reprinted from: J. Mar. Sci. Eng. 2023,11,1379, doi:10.3390/jmse11071379
Guoquan Chen, Jian Yin and Shenhua Yang
Ship Autonomous Berthing Simulation Based on Covariance Matrix Adaptation Evolution Strategy
Reprinted from: J. Mar. Sci. Eng. 2023,11,1400, doi:10.3390/jmse11071400
Rong Zhen, Qiyong Gu, Ziqiang Shi and Yongfeng Suo
An Improved A-Star Ship Path-Planning Algorithm Considering Current, Water Depth and Traffic Separation Rules
Reprinted from: J. Mar. Sci. Eng. 2023,11,1439, doi:10.3390/jmse11071439
Hailin Zheng, Qinyou Hu, Chun Yang, Qiang Mei, Peng Wang and Kelong Li
Identification of Spoofing Ships from Automatic Identification System Data via Trajectory Segmentation and Isolation Forest
Reprinted from: J. Mar. Sci. Eng. 2023,11,1516, doi:10.3390/jmse11081516
Licheng Zhao, Yi Zuo, Tieshan Li and C. L. Philip Chen
Application of an Encoder-Decoder Model with Attention Mechanism for Trajectory Prediction Based on AIS Data: Case Studies from the Yangtze River of China and the Eastern Coast of the U.S.
Reprinted from: J. Mar. Sci. Eng. 2023,11,1530, doi:10.3390/jmse11081530
Wenbo Zhou, Bin Li and Guoling Luo
Multi-Feature Fusion-Guided Low-Visibility Image Enhancement for Maritime Surveillance
Reprinted from: J. Mar. Sci. Eng. 2023,11,1625, doi:10.3390/jmse11081625
Chen Cheng, Dong Liu, Jin-Hui Du and Yong-Zheng Li
Research on Visual Perception for Coordinated Air-Sea through a Cooperative USV-UAV System
Reprinted from: J. Mar. Sci. Eng. 2023,11,1978, doi:10.3390/jmse11101978
Xinqiang Chen, Chenxin Wei, Zhengang Xin, Jiansen Zhao and Jiangfeng Xian
Ship Detection under Low-Visibility Weather Interference via an Ensemble Generative Adversarial Network
Reprinted from: J. Mar. Sci. Eng. 2023,11, 2065, doi:10.3390/jmse11112065
Jeong-Seok Lee, Tae-Hoon Kim and Yong-Gil Park
Maritime Transport Network in Korea: Spatial-Temporal Density and Path Planning
Reprinted from: J. Mar. Sci. Eng. 2023,11, 2364, doi:10.3390/jmse11122364
Atefe Sedaghat, Homayoon Arbabkhah, Masood Jafari Kang and Maryam Hamidi
Deep Learning Applications in Vessel Dead Reckoning to Deal with Missing Automatic Identification System Data
Reprinted from: J. Mar. Sci. Eng. 2024,12,152, doi:10.3390/jmse12010152
Homayoon Arbabkhah, Atefe Sedaghat, Masood Jafari Kang and Maryam Hamidi
Automatic Identification System-Based Prediction of Tanker and Cargo Estimated Time of Arrival in Narrow Waterways
Reprinted from: J. Mar. Sci. Eng. 2024,12, 215, doi:10.3390/jmse12020215