No. 2, 2026
- Cybersecurity of systems implementing data intensive domains. Ensuring trust in DID-systems using artificial intelligence and machine learning technologies pp. 5-17
- Approximate analytical synthesis of nonlinear stochastic systems with high availability by mean square criterion pp. 18-32
- Word sense disambiguation by large language models pp. 33-39
- Digital twins, virtual reality and augmented reality in the task of ensuring long-term preservation of documents pp. 40-51
- The review of standardized approaches to applying system analysis methods pp. 52-70
- A machine learning model for detecting anomalies in smart contracts based on graph neural networks and LSTM pp. 71-82
- HaRuCo: A new Russian-language corpus of popular science texts with coreference annotation pp. 83-88
- Construction and use of tensor analog of quadratic dynamical systems for bifurcation prediction pp. 89-108
- A game-theoretic method for constructing training samples for machine learning models in cybersecurity pp. 109-118