Emerging Applications of Artificial Intelligence in Mechanical, Control, Geological, Sensing, and Intelligent Detection Engineering: Integration and Innovations
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 45
Special Issue Editors
Interests: intelligent geological equipment
Interests: fuel cell health management
Interests: robot and mechanism design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is dedicated to exploring the application of Artificial Intelligence (AI) across diverse engineering domains. While we encourage the use of combined approaches to validate hypotheses through cross-checking, it is essential that AI remains the central focus of all contributions. Authors should demonstrate how AI is integral to their research and how it drives the implementation of innovative ideas. In our view, the involvement of leading scientists is pivotal to fostering a deeper understanding of AI’s potential among readers and newcomers alike. By doing so, this Special Issue aims to uncover groundbreaking insights, such as optimizing complex systems, enhancing decision-making processes, and enabling real-time monitoring—capabilities that would otherwise be difficult to achieve. The scope of this Special Issue spans a wide range of engineering fields, including mechanical, control, geological, sensing, and intelligent detection engineering. These disciplines form the cornerstone of this Special Issue. We particularly encourage submissions that validate preliminary numerical simulations through experimental work, while mathematical explanations should pave the way for new data processing techniques and AI-driven optimization methods. Both in situ applications and laboratory measurements are equally valued, though we anticipate that experimental studies will dominate the published contributions. The lasting message we hope to convey for future generations of engineers and researchers is rooted in AI’s transformative potential. As a powerful, non-intrusive, and adaptable tool, AI enables the analysis of complex systems, the prediction of failures, and the optimization of performance—achievements that are both efficient and sustainable. This Special Issue underscores AI’s critical role in advancing engineering solutions to address pressing challenges in modern society, such as sustainability, automation, and the development of smart infrastructure.
In conclusion, this Special Issue serves as a platform for researchers, engineers, and industry experts to showcase cutting-edge applications of AI in engineering. By fostering interdisciplinary collaboration and innovation, we aim to expand the boundaries of engineering possibilities and ensure that AI remains a cornerstone in shaping the future of technology and industry.
Dr. Changping Li
Dr. Yang Yang
Prof. Dr. Wenjian Yang
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. Applied Sciences is an international peer-reviewed open access semimonthly 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
- artificial intelligence
- emerging applications
- optimizing complex systems
- real-time monitoring
- data-driven
- innovative methods
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