Machine Learning for Aeronautics (2nd Edition)
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 1213
Special Issue Editors
Interests: digital engineering; digital twin/thread; ML/AI in engineering design; aerospace and defense
Special Issues, Collections and Topics in MDPI journals
Interests: multi-disciplinary design optimization; multi-disciplinary analysis; probabilistic design; aircraft design; propulsion design; rotorcraft; systems engineering; systems of systems and technology assessments
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
From enhancing aircraft design and manufacturing to enabling virtual testing, accelerating the certification of novel concepts, optimizing flight and maintenance operations, revolutionizing air traffic management, and improving aviation safety, the integration of machine learning offers unparalleled opportunities for innovation.
This Special Issue aims to showcase the latest research, case studies, and innovative ML techniques that are pushing the boundaries of what is possible in aeronautics. We invite contributions from researchers, engineers, and practitioners who are working at the intersection of machine learning and aerospace technology. Whether through the development of advanced algorithms for flight control, the application of predictive maintenance for aircraft systems, or the use of machine learning to improve aerodynamic designs, your work is contributing to the smarter, safer, and more efficient operation of aircraft and air transport systems.
In this Special Issue, we look forward to sharing insights that will not only advance the state of the art in aeronautical engineering but also inspire further innovation in the application of machine learning within the industry. In particular, authors are invited to submit full research articles or review manuscripts that address (but are not limited to) the following topics:
- Application of AI/ML to requirement engineering;
- Application of AI/ML to design (e.g., generative design);
- Application of AI/ML to aircraft development, modeling, and testing;
- Application of AI/ML to manufacturing and factory automation;
- Application of AI/ML in support of certification by analysis;
- Optimization of flight profile/performance;
- Real-time fault detection and predictive maintenance;
- Application of AI/ML to pilot training;
- Application of AI/ML to aviation safety;
- Application of AI/ML to air traffic management;
- Application of AI to environmental impact assessment in aviation;
- Application of AI/ML to autonomous flight;
- Application of AI/ML to flight control and navigation;
- Cybersecurity in aviation systems;
- Additional related areas.
We look forward to receiving your submissions. Please contact the Guest Editor for any further questions.
Dr. Olivia J. Pinon Fischer
Prof. Dr. Dimitri Mavris
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. Aerospace 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 2400 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.
Keywords
- application of AI/ML to requirement engineering
- application of AI/ML to design (e.g., generative design)
- application of AI/ML to aircraft development, modeling, and testing
- application of AI/ML to manufacturing and factory automation
- application of AI/ML in support of certification by analysis
- optimization of flight profile/performance
- real-time fault detection and predictive maintenance
- application of AI/ML to pilot training
- application of AI/ML to aviation safety
- application of AI/ML to air traffic management
- application of AI to environmental impact assessment in aviation
- application of AI/ML to autonomous flight
- application of AI/ML to flight control and navigation
- cybersecurity in aviation systems
- additional related areas
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Related Special Issue
- Machine Learning for Aeronautics in Aerospace (19 articles)
