Applications of Machine Learning and Pattern Recognition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 59
Special Issue Editor
2. Engineering Research Centre of Applied Technology on Machine Translation and Artificial Intelligence, Macao Polytechnic University, Macau, China
Interests: algorithm analysis and optimization of video coding; image processing; parallel computing; neural networks; computer graphics
Special Issue Information
Dear Colleagues,
The integration of machine learning (ML) and pattern recognition techniques into mathematical modeling has opened new frontiers across scientific and engineering disciplines. From data-driven inference to intelligent decision-making, these methods have demonstrated remarkable capabilities in extracting structure, identifying trends, and enabling predictive analytics in complex systems.
This Special Issue aims to highlight recent advances in the mathematical foundations, algorithmic innovations, and practical applications of machine learning and pattern recognition. We welcome contributions that explore theoretical models, optimization strategies, and performance analysis, as well as interdisciplinary applications in areas such as signal processing, computer vision, biomedical engineering, and financial mathematics.
Topics of interest include, but are not limited to, the following:
- Mathematical modelling of learning algorithms;
- Pattern recognition theory and applications;
- Optimization and convergence analysis;
- Neural architectures and interpretability;
- Multi-task and transfer learning;
- Statistical learning and probabilistic inference;
- Applications in image, speech, and time-series data;
- Hybrid systems and modular design frameworks.
We invite original research articles, review papers, and short communications that advance the understanding and application of ML and pattern recognition from a mathematical perspective.
Dr. Ka-Hou Chan
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- pattern recognition
- mathematical modeling
- optimization algorithms
- neural networks
- statistical inference
- feature extraction
- multi-task learning
- signal processing
- computer vision
- time series analysis
- probabilistic models
- deep learning
- interpretability
- modular architectures
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