Computational and Mathematical Methods in Information Science and Engineering, 3rd Edition

Dear Colleagues,

In this booming information age, vast amounts of complex and diverse data resources are being generated continuously. Information science and engineering has become one of the most dynamic research fields, driven by the need to collect, store, analyze, and visualize such data to address the challenges facing humanity today. In this field, computational and mathematical methods offer effective tools for managing data and information, enabling pattern recognition, knowledge discovery and application, and informed decision-making in complex problem domains.

This Special Issue follows the first and second editions and focuses on recent advances in computational and mathematical methods in information science and engineering, addressing both theoretical developments and practical applications to real-world problems. Topics include, but are not limited to, the following:

1. Computational intelligence theory and applications;
2. Intelligent modeling, control, and optimization;
3. Complex network modeling;
4. Heterogeneous data mining and fusion;
5. Complicated high-dimensional data analytics;
6. Explainable AI and statistical learning;
7. Quantum machine learning and algorithm design
8. Physics-informed neural networks;
9. Knowledge discovery, inference, and optimization;
10. Classification and clustering models in applications;
11. Heuristic intelligence optimization methods;
12. Applied mathematics in open-source software analysis;
13. Modeling and analysis in E-commerce;
14. Information systems;
15. Intelligent manufacturing and Industry 4.0;
16. Intelligent transportation systems and logistics;
17. Recommendation systems;
18. Knowledge management processes and systems;
19. Intelligent tourism and intelligent education.

Prof. Dr. Wen Zhang
Prof. Dr. Xiaofeng Xu
Prof. Dr. Jun Wu
Prof. Dr. Kaijian He
Guest Editors

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