Open Access
Issue
BIO Web Conf.
Volume 145, 2024
International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions (Forestry Forum 2024)
Article Number 03028
Number of page(s) 9
Section Timber Industry and Mechanization of the Forestry Complex
DOI https://doi.org/10.1051/bioconf/202414503028
Published online 28 November 2024
  • Tynchenko Ya. A. et al. Probabilistic analysis of pump reliability indicators using a neural network. MIAB. Mining Inf. Anal. Bull. 2024;(7-1):126-136. [In Russ]. DOI: 10.25018/0236_1493_2024_71_0_126. [Google Scholar]
  • Olentsova J. et al. Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning techniques //BIO Web of Conferences. – EDP Sciences, 2024. – Т. 116. – С. 03021. [Google Scholar]
  • Stepanova E. et al. Machine learning approaches for water potability prediction: Addressing class imbalance with SMOTE //BIO Web of Conferences. – EDP Sciences, 2024. – Т. 116. – С. 03024. [Google Scholar]
  • Boyko, A. et al. Simulation Model Of The Urban Population Taking Into Account The Influence Of The Manufacturing Sector Based On Big Data. In 2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-6). IEEE. [Google Scholar]
  • Tynchenko Ya.A., Kukartsev V.V., Gladkov A.A., Panfilova T.A. Assessment of technical water quality in mining based on machine learning methods. Sustainable Development of Mountain Territories, 2024, vol. 16, no. 1, pp. 56–69. (In Russ.). 10.21177/1998-4502-2024-16-1-56-69 [CrossRef] [Google Scholar]
  • Malozyomov, B. V. et al. Determination of the Performance Characteristics of a Traction Battery in an Electric Vehicle. World Electric Vehicle Journal, 15(2), 64. [Google Scholar]
  • Stepanova E. et al. Development of an automated information system for a logging company //BIO Web of Conferences. – EDP Sciences, 2024. – Т. 116. – С. 03014. [Google Scholar]
  • Rozhkova A. et al. Improving the efficiency of water use in agriculture by modelling the classification of groundwater quality //BIO Web of Conferences. – EDP Sciences, 2024. – Т. 116. – С. 03020. [CrossRef] [EDP Sciences] [Google Scholar]
  • Lobkov, K. et al. Eremeev, D., Rubinskaya, A., Melnikova, E., & Panfilov, I. (2023, March). Determination of the Degree of Impact of Natural Disasters on the Level of Migration of the Population by Simulation Modelling. In 2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH) (pp. 1-6). IEEE. [Google Scholar]
  • Kuzkin, A. Y. et al. Viscoplastic properties of chromium-nickel steel in short-term creep under constant stress. Part 1. // CIS Iron and Steel Review. – 2024. – Vol. 27. – P. 71- [CrossRef] [Google Scholar]
  • https://rudmet.net/media/articles/Article_CIS_2024_27_pp.71-77.pdf [Google Scholar]
  • Kukartsev, V. et al. Using Machine Learning Techniques to Simulate Network Intrusion Detection. In 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS) (pp. 1-4). IEEE. [Google Scholar]
  • Alena R. et al. Designing a system of step-by-step quality control. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 439-443). IEEE. [Google Scholar]
  • Klyuev R.V. et al. Analysis of geological information toward sustainable performance of geotechnical systems // Mining informational and analytical bulletin – 2024. – № 5. – С. 144–157. DOI: 10.25018/0236_1493_2024_5_0_144. [Google Scholar]
  • Brigida V. et al. (2024). Technogenic Reservoirs Resources of Mine Methane When Implementing the Circular Waste Management Concept. Resources, 13(2), 33. [CrossRef] [Google Scholar]
  • Zaalishvili V. B. et al. Radon Emanation and Dynamic Processes in Highly Dispersive Media //Geosciences. – 2024. – Т. 14. – №. 4. – С. 102. [CrossRef] [Google Scholar]
  • Moiseeva, K. et al. The impact of coal generation on the ecology of city areas. In 2023 22nd International Symposium Infoteh-Jahorina (Infoteh) (pp. 1-6). IEEE. [Google Scholar]
  • Kukartsev V. et al. Optimization of maintenance work by implementing an automated information system at a repair facility. In E3S Web of Conferences (Vol. 549, p. 09011). EDP Sciences. [Google Scholar]
  • Rozhkova A. et al. Application of statistical data analysis algorithms and determination of the most significant diagnostic factors. In BIO Web of Conferences (Vol. 116, p. 03015). EDP Sciences. [Google Scholar]
  • Stepanova E. et al. Development of an automated information system for a logging company. In BIO Web of Conferences (Vol. 116, p. 03014). EDP Sciences. [Google Scholar]
  • Rozhkova A. et al. Improving the efficiency of water use in agriculture by modelling the classification of groundwater quality. In BIO Web of Conferences (Vol. 116, p. 03020). EDP Sciences. [Google Scholar]
  • Olentsova J. et al. Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning techniques. In BIO Web of Conferences (Vol. 116, p. 03021). EDP Sciences. [Google Scholar]
  • Stepanova E. et al. Machine learning approaches for water potability prediction: Addressing class imbalance with SMOTE. In BIO Web of Conferences (Vol. 116, p. 03024). EDP [Google Scholar]
  • Malozyomov B. V. et al. Improvement of Hybrid Electrode Material Synthesis for Energy Accumulators Based on Carbon Nanotubes and Porous Structures //Micromachines. – 2023. – Т. 14. – №. 7. – С. 1288. [CrossRef] [PubMed] [Google Scholar]
  • Gutarevich V. O. et al. Reducing Oscillations in Suspension of Mine Monorail Track //Applied Sciences. – 2023. – Т. 13. – №. 8. – С. 4671. [CrossRef] [Google Scholar]
  • Kukartsev V. et al. Optimization of maintenance work by implementing an automated information system at a repair facility. In E3S Web of Conferences (Vol. 549, p. 09011). EDP Sciences. [Google Scholar]
  • Rozhkova A. et al. Application of statistical data analysis algorithms and determination of the most significant diagnostic factors //BIO Web of Conferences. – EDP Sciences, 2024. – Т. 116. – С. 03015. [CrossRef] [EDP Sciences] [Google Scholar]
  • Panfilov, I. et al. Increasing competitiveness of enterprises by optimizing business processes as a factor of sustainable development of industrial region. In E3S Web of Conferences (Vol. 531, p. 05019). EDP Sciences. [Google Scholar]
  • Kolenchukov O.A. et al. Forecasting the technical condition of thermochemical reactor systems / SOCAR Proceedings No.1 (2023) 123-130 http://dx.doi.org/10.5510/OGP20230100814 [Google Scholar]
  • Malozyomov B. V. et al. Substantiation of Drilling Parameters for Undermined Drainage Boreholes for Increasing Methane Production from Unconventional Coal-Gas Collectors //Energies. – 2023. – Т. 16. – №. 11. – С. 4276. [CrossRef] [Google Scholar]
  • Zaalishvili V. B. et al. Radon Emanation and Dynamic Processes in Highly Dispersive Media //Geosciences. – 2024. – Т. 14. – №. 4. – С. 102. [CrossRef] [Google Scholar]

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