Open Access
Issue
E3S Web Conf.
Volume 583, 2024
Innovative Technologies for Environmental Science and Energetics (ITESE-2024)
Article Number 08004
Number of page(s) 9
Section Enviromental Policy and Regulation
DOI https://doi.org/10.1051/e3sconf/202458308004
Published online 25 October 2024
  1. Malozyomov, Boris V., et al. “Determination of the Performance Characteristics of a Traction Battery in an Electric Vehicle.” World Electric Vehicle Journal 15.2 (2024): 64. [CrossRef] [Google Scholar]
  2. Golik V. I. et al., “The mechanochemical activation of leaching processes in a disintegrator.” MIAB 11.1 (2023):175-189. [Google Scholar]
  3. Panfilova T. A. et al., “To the concept of leaching metal-containing raw materials in the dizintegrator.” MIAB 11.1 (2023):239-251. [Google Scholar]
  4. Sokolov A. A. et al., “Ensuring uninterrupted power supply to mining enterprises by developing virtual models of different operation modes of transformer substations.” MIAB 11.1 (2023): 278-291. [Google Scholar]
  5. Gutarevich V. O., et al. “Reducing oscillations in suspension of mine monorail track.” MIAB 11.1 (2023):72-87. [Google Scholar]
  6. Gladkov, Alexey, et al. “Development of Requirements for AIS Aimed at Controlling High Turnover.” 2023 IEEE International Conference on Computing (ICOCO). IEEE, 2023. [Google Scholar]
  7. Degtyareva, Ksenia, et al. “Analyzing Credit Card Defaulters: A Comparative Study Using Kohonen Maps, Neural Networks, and Decision Trees.” 2023 International Conference on Information Technology and Computing (ICITCOM). IEEE, 2023. [Google Scholar]
  8. Moiseeva, Kristina, et al. “The impact of coal generation on the ecology of city areas.” 2023 22nd International Symposium Infoteh-Jahorina (Infoteh). IEEE, 2023. [Google Scholar]
  9. Kukartsev, Vladislav, et al. “Analysis of Data in solving the problem of reducing the accident rate through the use of special means on public roads.” 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). IEEE, 2022. [Google Scholar]
  10. Kireev, Timofey, et al. “Analysis of the influence of factors on flight delays in the United States using the construction of a mathematical model and regression analysis.” 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). IEEE, 2022. [Google Scholar]
  11. Kukartsev, Vladislav, et al. “Prototype technology decision support system for the EBW process.” Proceedings of the Computational Methods in Systems and Software. Cham: Springer International Publishing, 2022. 456-466. [Google Scholar]
  12. Nelyub, Vladimir, et al. “Machine learning to identify key success indicators.” E3S Web of Conferences. Vol. 431. EDP Sciences, 2023. [Google Scholar]
  13. Kukartsev, Vladislav, et al. “Using digital twins to create an inventory management system.” E3S Web of Conferences. Vol. 431. EDP Sciences, 2023. [Google Scholar]
  14. Degtyareva, K. V., et al. “Automatic monitoring system designed to detect defects in PET preforms.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  15. Tynchenko, V. S., et al. “Using software to shape safety on the construction site.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  16. Gantimurov, Andrei, et al. “Investigation of the influence of geographical factors on soil suitability using a nonparametric controlled method of training and data analysis.” E3S Web of Conferences. Vol. 431. EDP Sciences, 2023. [Google Scholar]
  17. Orlov, Vasiliy, et al. “Development of a multifunctional cross-platform system for automation of energy data and resource management.” E3S Web of Conferences. Vol. 460. EDP Sciences, 2023. [Google Scholar]
  18. Bosikov, Igor Ivanovich, et al. “Modeling and complex analysis of the topology parameters of ventilation networks when ensuring fire safety while developing coal and gas deposits.” Fire 6.3 (2023): 95. [CrossRef] [Google Scholar]
  19. Malozyomov, Boris V., et al. “Study of supercapacitors built in the start-up system of the main diesel locomotive.” Energies 16.9 (2023): 3909. [CrossRef] [Google Scholar]
  20. Shutaleva, Anna, et al. “Sustainability of Inclusive Education in Schools and Higher Education: Teachers and Students with Special Educational Needs.” Sustainability 15.4 (2023): 3011. [CrossRef] [Google Scholar]
  21. Rezanov, Viktor A., et al. “Study of melting methods by electric resistance welding of rails.” Metals 12.12 (2022): 2135. [CrossRef] [Google Scholar]
  22. Kukartsev, Viktor Alekseevich, et al. “Study of the Influence of the Thermal Capacity of the Lining of Acid Melting Furnaces on Their Efficiency.” Metals 13.2 (2023): 337. [CrossRef] [Google Scholar]
  23. Bashmur, Kirill A., et al. “Biofuel technologies and petroleum industry: synergy of sustainable development for the Eastern Siberian Arctic.” Sustainability 14.20 (2022): 13083. [CrossRef] [Google Scholar]
  24. Bashmur, Kirill A., et al. “Biofuel technologies and petroleum industry: synergy of sustainable development for the Eastern Siberian Arctic.” Sustainability 14.20 (2022): 13083. [CrossRef] [Google Scholar]
  25. Yelemessov K.K., et al. “Mathematical and computer modeling of gantry crane load- beam system oscillation” Sustainable Development of Mountain Territories 15.2 (2023): 450-461. [CrossRef] [Google Scholar]
  26. Kolenchukov O.A. et al., “Forecasting the technical condition of thermochemical reactor systems” SOCAR Proceedings No.1 (2023): 123-130. [CrossRef] [Google Scholar]
  27. Tynchenko, Valeriya V., et al. “Mathematical Models for the Design of GRID Systems to Solve Resource-Intensive Problems.” Mathematics 12.2 (2024): 276. [CrossRef] [Google Scholar]
  28. Brigida, Vladimir, et al. “Technogenic Reservoirs Resources of Mine Methane When Implementing the Circular Waste Management Concept.” Resources 13.2 (2024): 33. [CrossRef] [Google Scholar]
  29. Kravtsov, Kirill, et al. “Workflow automation and performance improvement based on PostgreSQL.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  30. Tynchenko, V. S., et al. “Effective energy management tools: inventory management and monitoring of energy consumption by personnel.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  31. Zhilkina, Yana, et al. “Strategy of introduction of information system in trade and logistics company.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  32. Kukartsev, V. V., et al. “Advancements in network-based management systems for enhanced business services.” E3S Web of Conferences. Vol. 460. EDP Sciences, 2023. [Google Scholar]
  33. Kozlova, Anastasia, et al. “Finding dependencies in the corporate environment using data mining.” E3S Web of Conferences. Vol. 431. EDP Sciences, 2023. [Google Scholar]
  34. Kukartsev, V. V., et al. “Control system for personnel, fuel and boilers in the boiler house.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  35. Vasileva, Viktoria, et al. “Integration of automated information systems and architectural solutions in industrial enterprises.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  36. Gladkov, Alexey, et al. “Development of an automation system for personnel monitoring and control of ordered products.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  37. Orlov, Vasiliy, et al. “Designing an information system to automate service management at the enterprise.” E3S Web of Conferences. Vol. 458. EDP Sciences, 2023. [Google Scholar]
  38. Boychuk, Igor P., et al. “A Methodological Approach to the Simulation of a Ship’s Electric Power System.” Energies 16.24 (2023): 8101. [CrossRef] [Google Scholar]
  39. Malozyomov, Boris V., et al. “Designing the Optimal Configuration of a Small Power System for Autonomous Power Supply of Weather Station Equipment.” Energies 16.13 (2023): 5046. [CrossRef] [Google Scholar]
  40. V.V. Kukartsev, V. V., et al. Identification of factors influencing heart failure mortality using machine learning methods. News of the Tula state university. Sciences of Earth 3 (2023): 101-111. [CrossRef] [Google Scholar]

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