Article or book title, author's surname, DOI

Articles 262

  1. Application of machine learning methods to restore damaged objects in a photograph Dynamics of Complex Systems - XXI century, No. 5, 2026 pp. 31-39
  2. Calculation of per-unit-length parameters of multiconductor microstrip transmission lines using machine learning models Electromagnetic Waves and Electronic Systems, No. 5, 2026 pp. 63-76
  3. Hybrid approach to supply management on marketplaces: Integra-tion of machine learning algorithms and mathematical programming Neurocomputers, No. 4, 2026 pp. 88-96
  4. A program for predicting the optimal variant of a set of educational tools based on machine learning and artificial intelligence Science Intensive Technologies, No. 4, 2026 pp. 89-95
  5. An investigation into methods for reducing the computational complexity of signal processing algorithms in MU-MIMO-OFDM systems via machine learning Radioengineering, No. 8, 2026 pp. 69-81
  6. A game-theoretic method for constructing training samples for machine learning models in cybersecurity Highly available systems, No. 2, 2026 pp. 109-118
  7. A machine learning model for detecting anomalies in smart contracts based on graph neural networks and LSTM Highly available systems, No. 2, 2026 pp. 71-82
  8. Cybersecurity of systems implementing data intensive domains. Ensuring trust in DID-systems using artificial intelligence and machine learning technologies Highly available systems, No. 2, 2026 pp. 5-17
  9. Application of large language models for machine learning interpretability in dynamic pricing Nonlinear World, No. 2, 2026 pp. 69-79
  10. Hybrid real-time phishing detection system based on integration of blacklists and machine learning Science Intensive Technologies, No. 3, 2026 pp. 43-53
  11. Analysis of the availability and accuracy of its assessment for the HF radio channel on the predicted ORF determined by the machine learning method Electromagnetic Waves and Electronic Systems, No. 2, 2026 pp. 78-87
  12. The integrated method of machine learning used to identify side effects of polypragmasia Science Intensive Technologies, No. 2, 2026 pp. 22-31
  13. Systematization of Orkhon-Yenisei runic scripts and prospects for their automated analysis using machine learning methods Dynamics of Complex Systems - XXI century, No. 5, 2025 pp. 97-103
  14. A machine learning-based model for assessing carbon sequestration in russian forests using integrated satellite, meteorological, and soil data Neurocomputers, No. 6, 2025 pp. 7-16
  15. An improved algorithm for the analysis and diagnosis of spinal deformities using dynamic image processing and machine learning Biomedical Radioelectronics, No. 5, 2025 pp. 85-90
  16. Machine learning models for solving the problem of evaluating organizational and technical systems Science Intensive Technologies, No. 4, 2025 pp. 50-59
  17. Detection of zero-day cyber attacks and zero-day malware using machine learning methods Radioengineering, No. 8, 2025 pp. 184-198
  18. Developing a chatbot for a user support portal using machine learning methods Nonlinear World, No. 3, 2025 pp. 54-65
  19. Document recognition in various conditions using machine learning methods Nonlinear World, No. 3, 2025 pp. 45-53
  20. Development of a bundled software and machine learning models to automate analysis of news streams in the financial industry Nonlinear World, No. 3, 2025 pp. 6-14