Artificial Intelligence and Pattern Recognition Algorithm-Based Multimodal Data Analytics for Real-World Applications
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 3768
Special Issue Editors
Interests: artificial intelligence; computer vision; machine learning; medical imaging processing
Special Issues, Collections and Topics in MDPI journals
Interests: databases; artificial intelligence
Special Issue Information
Dear Colleagues,
Recent years have witnessed the revolutionary development of multidisciplinary technologies for acquiring a massive amount of multimodal data. Accelerated by the tremendous increase in multimodal data, multimodal data research has been successfully applied in many domains, such as robotics, internet of things, engineering, natural language processing, and medical applications.
Multimodal data analytics is an effective way to integrate and analyze data from different sources to obtain a more holistic understanding of the multimodal learning process, which has attracted a lot of attention in both academia and industry in recent years.
However, multimodal data analytics still face the following challenges: manipulating, managing, mining, understanding, and visualizing different types of data. The recent advances of artificial intelligence and pattern recognition (AI&PR) algorithms can help researchers to discover complex architectures in high-dimensional multimodal data to better understand practical implications for various applications.
Inspired by the advantages of AI&PR algorithms, in this Special Issue, we invite original research and review articles on research and development in all areas of multimodal data analytics. This Special Issue aims to bring together innovative research around the world in any of the below application domains or in other areas that we have yet to see.
Potential topics include but are not limited to the following:
- AI- and PR-based multimodal fusion algorithms for healthcare;
- AI- and PR-based cross-modal retrieval algorithm;
- AI- and PR-based multimodal inferencing;
- AI- and PR-based multimodal information safety;
- AI- and PR-based multimodal data transmission algorithms;
- AI- and PR-based multimodal abnormal detection algorithms;
- AI- and PR-based multimodal representation learning algorithms;
- AI- and PR-based knowledge discovery algorithm for multimodal data;
- AI- and PR-based multimodal social media analysis algorithms.
Dr. Yugen Yi
Prof. Dr. Shaojie Qiao
Prof. Dr. Jun Kong
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. Algorithms 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 1600 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
- multimodal fusion algorithms
- multimodal learning algorithms
- multimodal analysis algorithms
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