The issue of the scientific journal «Modeling and Data Analysis» 2026 # 1 has been published.
The new issue presents studies devoted to modern methods for modeling complex systems, data analysis, and the application of mathematical models in various fields of science and education.
Among the papers in this issue is a study on the application of the FEGB-Net platform for anomaly detection in distributed government networks, demonstrating the potential of federated learning and graph neural networks to enhance the cybersecurity of digital infrastructures.
The issue also includes research on:
- the application of the Monte Carlo method in quantile optimization problems;
- modeling the development of master’s students’ competence based on variational principles;
- analysis of the role of uncertainty in the content of modern higher education;
- mathematical models and methods for analyzing educational and managerial processes.
The issue will be of interest to researchers, educators, and professionals working in the fields of data analysis, mathematical modeling, and digital technologies.