Advances in Intelligent Computing, Machine Learning and Pattern Recognition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 170
Special Issue Editors
Interests: deep learning; computer vision; image processing; pattern recognition; algorithms
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue of the journal Mathematics, entitled “Advances in Intelligent Computing, Machine Learning and Pattern Recognition”. This Special Issue aims to present the latest progress and breakthroughs in interdisciplinary fields such as intelligent computing, machine learning, and pattern recognition, and to provide a comprehensive platform for the dissemination of significant research findings and applications. The scope of this Special Issue includes, but is not limited to, the following topics:
- Neural Networks: Explorations of new architectures, training techniques, and applications in various domains.
- Deep Learning: Advances in deep learning models, including convolutional networks, recurrent networks, and their implementations.
- Algorithmic Optimization: Innovative optimization algorithms and their applications in intelligent computing and machine learning.
- Computational Intelligence: The integration of intelligent systems, including fuzzy logic, genetic algorithms, and evolutionary computing.
- Clustering Algorithms: Novel clustering methods and their effectiveness in pattern recognition and data mining tasks.
- Pattern Recognition: New methodologies and systems for recognizing patterns in various types of data.
- AI Application Systems: Development and implementation of intelligent computing, machine learning, and pattern recognition techniques in various fields, including healthcare, finance, transportation, communications, humanities, and more. Emphasis is placed on practical applications and the impact of these technologies on real-world problems.
- Big Data Analytics: Techniques and tools for managing, analyzing, and extracting meaningful insights from large datasets.
- Linear Algebra in Intelligent Systems: Research on the application of linear algebra, including matrix theory and transformations, in the development and optimization of intelligent systems.
We invite submissions of high-quality research articles, reviews, and case studies that address these topics. Contributions should demonstrate original theoretical, methodological, or applied advancements and should provide significant insights into the challenges and future directions of intelligent computing, machine learning, and pattern recognition.
Manuscripts will undergo a rigorous peer-review process to ensure the publication of top-tier research. We look forward to your contributions to this Special Issue.
Prof. Dr. Hwei Jen Lin
Prof. Dr. Ching-Ting Tu
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. Mathematics 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 2600 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
- neural networks
- convolutional networks
- deep learning
- big data analytics
- computational intelligence
- clustering algorithms
- applied mathematics
- matrix theory
- evolutionary computing
- optimization algorithms
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