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

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.

• computational intelligence
• mathematical modeling
• high-dimensional data analytics
• explainable AI
• statistical learning physics-informed neural networks text/document analysis
• optimization
• complex networks
• social network
• software defects detection
• information theory
• information systems
• recommendation systems
• intelligent logistics
• intelligent energy management
• intelligent tourism

• Computational and Mathematical Methods in Information Science and Engineering in Mathematics (21 articles)
• Computational and Mathematical Methods in Information Science and Engineering, 2nd Edition in Mathematics (12 articles)