Aims and Scope
The maritime industry plays a crucial role in facilitating global trade, but it also faces significant challenges that require innovative solutions. The integration of big data and artificial intelligence (AI) technologies has the potential to improve operational efficiency, reduce costs, and enhance safety in the maritime industry. This special issue aims to present the latest research and developments in the application of big data and AI in the maritime industry.
This special issue is expected to provide a valuable platform for the dissemination of knowledge and the exchange of ideas on the integration of big data and AI in the maritime industry. The special issue will contribute to the development of new technologies and applications that can enhance the operational efficiency, safety, and sustainability of the maritime industry.
This special issue proposal seeks to address the important topic of big data and AI applications in the maritime industry. It is expected to attract contributions from researchers, practitioners, and industry experts who are interested in advancing the application of big data and AI in the maritime industry. We believe that this special issue will make a significant contribution to the literature and promote further research in this area.
Lead Guest Editors
Dr. Mingyang Zhang
Aalto University, Finland
Research Interests: Maritime Safety, Big Data Analytics, Machine Learning, Emerging Maritime Technologies
Guest Editors
Dr. Liu Lei
Southeast University, China
Research Interests: Big Data Analytics, Machine Learning, Reinforcement Learning, Optimization Research
Dr. Sheng Xu
Norwegian University of Science and Technology, Norway
Research Interests: Ice Navigation, Green Shipping, Route Optimization, Risk and Safety Management, Machine Learning
Dr. Chi Zhang
Wuhan University of Technology, China
Research Interests: Ship Voyage Optimization Algorithms, Machine Learning, Risk Assessment, Time Series Analysis
Dr. Shuwu Wang
Wuhan University of Technology, China
Research Interests: Ship Collision Avoidance, Path Planning, Big Data Analytics, Machine Learning, Reinforcement Learning
Special Issue Information
This special issue will cover a range of topics related to Big Data and AI in the maritime industry. These topics may include, but are not limited to:
• Smart Container Technology Using Big Data and AI
• Predictive Modeling for Maritime Traffic Flow and Congestion Management
• Advanced Sensor Technologies for Maritime Surveillance and Monitoring
• Integration of Big Data and AI in Maritime Environmental Management
• Machine Learning Techniques for Vessel Route Optimization and Fuel Consumption Reduction
• Deep Learning for Maritime Image and Video Analysis
• Data-driven Decision-making for Maritime Logistics and Supply Chain Management
• Big Data Analytics for Maritime Risk Management
• Integration of Big Data and AI in Maritime Disaster Response and Rescue Operations
• Real-time Cargo Tracking and Monitoring Using Big Data and AI
Submission Guidelines:
The special issue will invite submissions of original research articles, review papers, and case studies from researchers, practitioners, and industry experts. All submissions will be subject to a rigorous peer-review process to ensure the quality and relevance of the articles. Submissions should follow the guidelines provided by the Artificial Intelligence and Applications journal.
Manuscript Submission Information
Submission deadline: April 6, 2024
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field.
Free fast publication and early access will be provided to all accepted papers.
If you have any queries regarding this special issue or other matters, please feel free to contact the editorial office: yu@bonviewpress.org/Eric@bonviewpress.org
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eISSN 2811-0854 | Published by Bon View Publishing Pte Ltd.
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