首页|Kobe University Researcher Adds New Findings in the Area of Machine Learning (Id entifying Key Issues in Integration of Autonomous Ships in Container Ports: A Ma chine-Learning-Based Systematic Literature Review)
Kobe University Researcher Adds New Findings in the Area of Machine Learning (Id entifying Key Issues in Integration of Autonomous Ships in Container Ports: A Ma chine-Learning-Based Systematic Literature Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news originating from Kobe, Japan, by NewsRx corr espondents, research stated, "Autonomous ships have the potential to increase op erational efficiency and reduce carbon footprints through technology and innovat ion." Funders for this research include Jsps Kakenhi; Danish Agency For Higher Educati on And Science: International Network Grant: Global Ports And Shipping. The news editors obtained a quote from the research from Kobe University: "Howev er, there is no comprehensive literature review of all the different types of pa pers related to autonomous ships, especially with regard to their integration wi th ports. This paper takes a systematic review approach to extract and summarize the main topics related to autonomous ships in the fields of container shipping and port management. A machine learning method is used to extract the main topi cs from more than 2000 journal publications indexed in WoS and Scopus. The resea rch findings highlight key issues related to technology, cybersecurity, data gov ernance, regulations, and legal frameworks, providing a different perspective co mpared to human manual reviews of papers." According to the news editors, the research concluded: "Our search results confi rm several recommendations. First, from a technological perspective, it is advis ed to increase support for the research and development of autonomous underwater vehicles and unmanned aerial vehicles, establish safety standards, mandate test ing of wave model evaluation systems, and promote international standardization. Second, from a cyber-physical systems perspective, efforts should be made to st rengthen logistics and supply chains for autonomous ships, establish data govern ance protocols, enforce strict control over IoT device data, and strengthen cybe rsecurity measures. Third, from an environmental perspective, measures should be implemented to address the environmental impact of autonomous ships. This can b e achieved by promoting international agreements from a global societal standpoi nt and clarifying the legal framework regarding liability in the event of accide nts."
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