Machine Learning for Aeronautics
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 36452
Special Issue Editor
Interests: digital engineering; digital twin/thread; ML/AI in engineering design; aerospace and defense
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The present Special Issue entitled “Machine Learning for Aeronautics” focuses on topics related to the application of machine learning, deep learning, and other emerging data-driven techniques to support and improve the design, development, analysis, testing, production, operation, and maintenance/inspection of aircraft. Authors are invited to submit full research articles or review manuscripts addressing (but not limited to) the following topics:
- Application of AI/ML to requirement engineering;
- Generative design;
- Application of AI/ML to problems with a small amount of data;
- Application of AI/ML for problems of increasing efficiency with expensive physical testing;
- Application of AI/ML in support of certification by analysis;
- Application of AI/ML in support of factory automation;
- Real-time fault detection and forecasting;
- Optimization of flight profile/performance;
- Application of AI/ML for pilot training.
The focal topics listed above are not meant to exclude articles from additional related areas. We are looking forward to receiving your submissions and invite you to contact the Guest Editor should you have further questions.
Dr. Olivia J. Pinon Fischer
Guest Editor
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
- generative design
- machine learning
- deep learning
- natural language processing
- certification by analysis
- efficiency
- optimization