Submission Deadline: 31 December 2026 View: 129 Submit to Special Issue
Prof. Dr. Hwei Jen Lin
Email: 086204@gms.tku.edu.tw
Affiliation: Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan
Research Interests: pattern recognition, computer algorithms, deep learning, computer vision
Prof. Dr. Ching-Ting Tu
Email: cttu@nchu.edu.tw
Affiliation: Department of Applied Mathematics, National Chung Hsing University, Taichung, Taiwan
Research Interests: computer vision and human computer interface, pattern recognition and machine learning
Recent advances in computational modeling, applied mathematics, and artificial intelligence have significantly enhanced the analysis and simulation of complex engineering and scientific systems. Many real-world problems involve nonlinear dynamics, multi-scale interactions, and high-dimensional data, which require advanced mathematical modeling and efficient computational algorithms.
This Special Issue aims to highlight recent developments in mathematical modeling, numerical analysis, and intelligent computational methods, with particular emphasis on AI-driven modeling, adaptive learning frameworks, and data-centric approaches for solving complex problems in engineering, science, and real-world applications.
We welcome original research articles and review papers that propose innovative mathematical theories, computational techniques, and AI-assisted modeling approaches. Topics of interest include, but are not limited to, applied mathematics, numerical methods, computational mechanics, machine learning for modeling, generative models, knowledge distillation, and optimization theory. Applications in computer vision, medical and healthcare systems, real-time intelligent systems, and scientific computing (e.g., astrophysical and physical simulations) are also encouraged.
Researchers are invited to submit high-quality manuscripts that advance both theoretical and practical aspects of computational modeling and intelligent analysis for complex systems.
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