Artificial Intelligence and Pattern Recognition for Intelligent Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 10 March 2025 | Viewed by 857
Special Issue Editors
Interests: deep learning; reinforcement learning; pattern recognition
Interests: multimodal learning; sentiment analysis; clustering analysis
Special Issue Information
Dear Colleagues,
Artificial intelligence and pattern recognition are two closely related fields that have been hot topics in computer science and artificial intelligence research for the past few decades. Artificial intelligence aims to build intelligent systems that can understand, learn and reason, while pattern recognition focuses on identifying and classifying patterns in complex datasets. Through artificial intelligence and pattern recognition technology, computers have been able to accurately recognize objects, scenes and even emotions in images. This makes intelligent cameras, autonomous vehicles and other intelligent devices possible. In the field of intelligent healthcare, pattern recognition can help doctors make more accurate diagnoses and treatment plans by analyzing patient medical data. In the financial field, pattern recognition can identify abnormal patterns in transaction data, thereby helping prevent financial fraud. The integration of artificial intelligence and pattern recognition is leading human society toward an era of intelligent interactions. By intelligently recognizing images, sounds and data, we can create smarter products and services, greatly improving the quality of life. This Special Issue aims to introduce the latest breakthroughs in theoretical research, technological innovation and practical application regarding artificial intelligence and pattern recognition for intelligent systems. This Special Issue welcomes any original and high-quality papers including, but not limited to, the following:
- Deep learning;
- Machine learning;
- Reinforcement learning;
- Multimodal learning;
- Computer vision;
- Neural networks;
- Knowledge graph;
- Causal reasoning;
- Diffusion model;
- Large language model;
- Sentiment analysis;
- Embodied intelligence.
Dr. Xinyue Liu
Dr. Linlin Zong
Dr. Xiaowei Zhao
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. 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
- pattern recognition
- deep learning
- machine learning
- multimodal learning
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
