Applications of Artificial Intelligence in Marine Machinery

Dear Colleagues,

The maritime sector has often been considered a sector conservative sector in terms of embracing change. Nonetheless, in recent years, there has been increased attention paid to the utilization of artificial intelligence due to its undeniable benefits and the opportunities associated with its application. The development and implementation of machine learning and, more specifically, deep learning, has experienced substantial achievements in marine machinery, with significant milestones attained in the areas of knowledge of smart maintenance and performance optimization, for instance.

Cutting-edge Research

• Smart Maintenance. Recent studies have demonstrated the capability of employing artificial intelligence to determine the current and future health of marine machinery, and thus guaranteeing the potential application of prescriptive maintenance.
• Fuel Efficiency. Researchers have employed artificial intelligence in an attempt to both optimize fuel usage and combustion processes so that the fuel costs and the environmental impact can be minimized.
• Performance Optimisation. State-of-the-art methodologies have been introduced to facilitate the application of artificial intelligence to ensure the optimal performance of marine machinery.

In recent years, there has been an increase in the application of artificial intelligence (AI) within the maritime industry. Artificial intelligence has enabled machinery systems and equipment to perform complex tasks, leading to an optimization of the processes and an enhancement in terms of decision-making capabilities. These advances in technological developments and further applied research have facilitated the maritime industry to advance towards a more optimal performance, monitoring, and management of marine machinery.

This Special Issue aims to explore original research regarding the application of artificial intelligence in marine systems and equipment in order to address real-world problems. As such, authors are invited to submit original research and development work that facilitates the advancement of applied artificial intelligence in the maritime industry and, in particular, marine machinery and equipment. The scope of this Special Issue includes, but is not limited to, topics such as:

• smart maintenance;
• intelligent condition monitoring;
• performance optimization;
• fuel consumption optimization;
• emission control;
• reliability engineering.

Dr. Christian Velasco-Gallego
Dr. Iraklis Lazakis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• marine machinery
• artificial intelligence
• smart maintenance
• intelligent condition monitoring
• performance optimization
• fuel consumption optimization
• emission control
• reliability engineering
• machine learning
• deep learning