Open Access
Issue
E3S Web Conf.
Volume 583, 2024
Innovative Technologies for Environmental Science and Energetics (ITESE-2024)
Article Number 01009
Number of page(s) 7
Section Geoinformatics, Mining Geology and Mineral Resources
DOI https://doi.org/10.1051/e3sconf/202458301009
Published online 25 October 2024
  1. Martyushev N.V. et al., Energies 16, 2, 729 (2023) [CrossRef] [Google Scholar]
  2. Shutaleva A. et al., Sustainability 15, 4, 3011 (2023) [CrossRef] [Google Scholar]
  3. Rezanov V.A. et al., Metal 12, 12l2135 (2022) [Google Scholar]
  4. Martyushev N.V. et al., Materials 16, 9, 3490 (2023) [CrossRef] [PubMed] [Google Scholar]
  5. Kukartsev V.A. et al., Metals 13, 2, 337 (2023) [CrossRef] [Google Scholar]
  6. Degtyareva K. et al., Use of Computer Simulation Tools to Simulate Processes at the Foundry. In 2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-5). IEEE (2024) [Google Scholar]
  7. Degtyareva K. et al., Automated System for Accounting of Customers and Orders. In 2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-4). IEEE (2024) [Google Scholar]
  8. Golik V.I. et al., MIAB. Mining Inf. Anal. Bull. (11-1): 175-189 (2023) [Google Scholar]
  9. Panfilova T.A. et al., MIAB. Mining Inf. Anal. Bull. (11-1): 239-251 (2023) [Google Scholar]
  10. Suprun E. et al., BIO Web of Conferences 84. 01008 (2024) [CrossRef] [EDP Sciences] [Google Scholar]
  11. Orlov V. et al. E3S Web of Conferences 460. 07002 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  12. Kravtsov K. et al. E3S Web of Conferences 458. 09022 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  13. Tynchenko V.S. et al. E3S Web of Conferences 458. 01011 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  14. Nelyub V.A. et al. (2023). Correlation Analysis and Predictive Factors for Building a Mathematical Model. In Proceedings of the Computational Methods in Systems and Software (pp. 14-25). Cham: Springer International Publishing. [Google Scholar]
  15. Degtyareva K.V. et al. E3S Web of Conferences 458. 02002 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  16. Gantimurov A. et al. E3S Web of Conferences 431. 03005 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  17. Tynchenko V.S. et al. E3S Web of Conferences 458. 07003 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  18. Tynchenko V. et al. Application of U-Net Architecture Neural Network for Segmentation of Brain Cell Images Stained with Trypan Blue. In International Conference on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production (pp. 170-181). Cham: Springer Nature Switzerland (2024) [Google Scholar]
  19. Martyushev N.V. et al. Materials, 16(13), 4529 (2023) [CrossRef] [PubMed] [Google Scholar]
  20. Orlov V. et al. E3S Web of Conferences 460. 07002 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  21. Kravtsov K. et al. E3S Web of Conferences 458. 09022 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  22. Tynchenko V.S. et al. E3S Web of Conferences 458. 01011 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
  23. Semenova E. et al. Using UML to Describe the Development of Software Products Using an Object Approach. In 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (pp. 1-4). IEEE (2022) [Google Scholar]
  24. Tynchenko V.S. et al. AIP Conference Proceedings 2700, 1 (2023) [Google Scholar]
  25. Chernykh N. et al. Comparative Analysis of Existing Measures to Reduce Road Accidents in Western Europe. In 2023 22nd International Symposium INFOTEH- JAHORINA (INFOTEH) (pp. 1-6). IEEE (2023) [Google Scholar]
  26. Volneikina E. et al. Simulation-Dynamic Modeling Of Supply Chains Based On Big Data. In 2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-6). IEEE (2023) [Google Scholar]
  27. Filina O.A. et al. Energies 17. 1, 17 (2023) [CrossRef] [Google Scholar]
  28. Boychuk, I. P., Grinek, A. V., Martyushev, N. V., Klyuev, R. V., Malozyomov, B. V., Tynchenko, V. S., Kondratiev, S. I. (2023). Energies, 16(24), 8101. [CrossRef] [Google Scholar]
  29. Golik V.I. et al. Materials 16. 21. 7004 (2023) [Google Scholar]
  30. Malozyomov B.V. et al. Energies 16. 13. 5046 (2023) [CrossRef] [Google Scholar]
  31. Malashin I.P. et al. Polymers 16. 1. 115 (2023) [CrossRef] [PubMed] [Google Scholar]
  32. Malozyomov B.V. et al. Energies 16. 13. 4907 (2023) [CrossRef] [Google Scholar]
  33. Tynchenko V.S. et al. Journal of Physics: Conference Series 2373, 6, 062015 (2022) [CrossRef] [Google Scholar]
  34. Martyushev, N. V. et al. Materials, 16(13), 4529 (2023) [CrossRef] [Google Scholar]
  35. Tynchenko V. et al. Mathematics, 12(2), 276 (2023) [Google Scholar]
  36. Rogova D. et al. Software System for Modeling Temperature Distribution During the Electron Beam Welding. In 2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) (pp. 1-6). IEEE. (2022) [Google Scholar]
  37. Kurashkin S. et al. Procedia Computer Science, 200, 83-90 (2022) [CrossRef] [Google Scholar]
  38. Tynchenko V. et al. Procedia Computer Science, 200, 843-851 (2022) [CrossRef] [Google Scholar]
  39. Tynchenko V. et al. Software for modeling brazing process of spacecraft elements from widely used alloys. In 2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-5). IEEE (2022) [Google Scholar]

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