Advancements in Artificial Intelligence (AI) for Engineering Applications, 2nd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 September 2027 | Viewed by 1980
Editors
Interests: artificial intelligence; optimization techniques; fuzzy logic; natural language processing; reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; pattern recognition; computer aided diagnosis; biomedical image processing; artificial intelligence in cancer detection; classification and prediction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are excited to announce a call for papers for a Special Issue of our journal, Electronics, focusing on the intersection of artificial intelligence (AI) and engineering applications. This Special Issue aims to explore the latest advancements and practical implementations within the realms of swarm intelligence, optimization, fuzzy logic, natural language processing (NLP), computer vision, and reinforcement learning.
The Special Issue will concentrate on exploring innovative methodologies and algorithms within the fields of swarm intelligence, optimization, fuzzy logic, NLP, computer vision, and reinforcement learning, with a specific emphasis on their application in engineering domains.
We welcome contributions that present novel research findings, methodologies, case studies, and applications related to the aforementioned AI fields in engineering contexts. Topics of interest include, but are not limited to, the following:
- Development of advanced AI-based optimization techniques for engineering problems.
- Integration of fuzzy logic principles in engineering systems to enhance adaptability and decision-making.
- Utilization of NLP for improving human–computer interaction in engineering applications.
- Application of computer vision techniques for object recognition, image analysis, and visual perception in engineering tasks.
- Implementation of reinforcement learning algorithms for autonomous decision-making and control in engineering systems.
The purpose of this Special Issue is to provide a platform for researchers to disseminate their latest findings, exchange insights, and foster collaborations in advancing the state-of-the-art in AI-driven engineering applications. By showcasing practical implementations and case studies, we aim to bridge the gap between theoretical advancements in AI and their real-world applications in engineering.
This Special Issue will complement existing literature by
- Offering a comprehensive overview of the latest trends and advancements in AI techniques as applied to engineering problems.
- Providing in-depth discussions and analyses of practical case studies and applications, thereby offering valuable insights into both academia and industry practitioners.
- Stimulating further research and innovation in the field by identifying emerging challenges and potential areas for future exploration.
We encourage researchers from academia, industry, and other relevant sectors to contribute their original research articles to this Special Issue.
We eagerly anticipate your contributions to enriching this Special Issue and advancing our collective understanding of AI-driven engineering applications.
Dr. Hubert Zarzycki
Dr. Lukasz Jelen
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics 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
- swarm intelligence
- optimization
- fuzzy logic
- natural language processing
- NLP
- computer vision
- reinforcement learning
- engineering applications
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
