2026
2025
- Analysis of feasibility of using the OpenThinker2-32B model in automated predictive maintenance systems for small and medium-sized industrial enterprises pp. 56-70
- A mathematical model for reducing uncertainty based on Dempster–Shafer theory at the level of data collection and aggregation in automated predictive maintenance systems pp. 62-74
