Open Access
| Issue |
BIO Web Conf.
Volume 130, 2024
International Scientific Conference on Biotechnology and Food Technology (BFT-2024)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 8 | |
| Section | Soil Biotechnology | |
| DOI | https://doi.org/10.1051/bioconf/202413002009 | |
| Published online | 09 October 2024 | |
- Malozyomov, Boris V., et al. “Improvement of hybrid electrode material synthesis for energy accumulators based on carbon nanotubes and porous structures.” Micromachines 14.7 (2023): 1288. [CrossRef] [PubMed] [Google Scholar]
- Gutarevich, Viktor O., et al. “Reducing oscillations in suspension of mine monorail track.” Applied Sciences 13.8 (2023): 4671. [CrossRef] [Google Scholar]
- Zaalishvili, Vladislav B., et al. “Radon Emanation and Dynamic Processes in Highly Dispersive Media.” Geosciences 14.4 (2024): 102. [CrossRef] [Google Scholar]
- Klyuev R.V. et al. “Analysis of geological information toward sustainable performance of geotechnical systems.” Mining informational and analytical bulletin 5 (2024): 144-157. [Google Scholar]
- 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]
- Kukartsev V. V. et al. “Application of non-parametric learning method in soil suitability assessment in present day economy.” Journal of Infrastructure, Policy and Development 8 (2024). [Google Scholar]
- 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]
- Borodulin, A. S., et al. “Analyzing Data by Applying Neural Networks to Identify Patterns in the Data.” Proceedings of the Computational Methods in Systems and Software. Cham: Springer Nature Switzerland, 2023. 99-108. [Google Scholar]
- 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]
- 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]
- 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]
- Kozlova, Anastasia, et al. “Finding dependencies in the corporate environment using data mining.” E3S Web of Conferences. Vol. 431. EDP Sciences, 2023. [Google Scholar]
- 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]
- 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]
- Kolenchukov, Oleg A., et al. “Experimental study of oil non-condensable gas pyrolysis in a stirred-tank reactor for catalysis of hydrogen and hydrogen-containing mixtures production.” Energies 15.22 (2022): 8346. [CrossRef] [Google Scholar]
- Tynchenko Ya.A., et al. “Assessment of technical water quality in mining based on machine learning methods. “ Sustainable Development of Mountain Territories 16.1 (2024): 56-69. [CrossRef] [Google Scholar]
- Kukartsev, V., et al. “Influence of mountain factors on salt excess and soil toxicity in mountain conditions.” Sustainable Development of Mountain Territories 15.3 (2023): 784-797. [CrossRef] [Google Scholar]
- 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]
- Sokolov, A. A. “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]
- Degtyareva, Ksenia, Daniel Alikhanovich Ageev, and Vladislav Viktorovich Kukartsev. “Finding patterns in employee attrition rates using self-organizing Kohonen maps and decision trees.” 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2023. [Google Scholar]
- 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]
- Strateichuk, Diana M., et al. “Morphological features of polycrystalline CdS1− xSex films obtained by screen-printing method.” Crystals 13.5 (2023): 825. [CrossRef] [Google Scholar]
- Martyushev, Nikita V., et al. “Review of Methods for Improving the Energy Efficiency of Electrified Ground Transport by Optimizing Battery Consumption.” Energies 16.2 (2023): 729. [CrossRef] [Google Scholar]
- Rezanov, Viktor A., et al. “Study of melting methods by electric resistance welding of rails.” Metals 12.12 (2022): 2135. [CrossRef] [Google Scholar]
- 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]
- Martyushev, Nikita V., et al. “Provision of Rational Parameters for the Turning Mode of Small-Sized Parts Made of the 29 NK Alloy and Beryllium Bronze for Subsequent Thermal Pulse Deburring.” Materials 16.9 (2023): 3490. [CrossRef] [PubMed] [Google Scholar]
- Kukartsev, Vladislav, et al. “Intelligent Data Analysis as a Method of Determining the Influence of Various Factors on the Level of Customer Satisfaction of the Company.” Proceedings of the Computational Methods in Systems and Software. Cham: Springer Nature Switzerland, 2023. 109-128. [Google Scholar]
- Degtyareva, Ksenia, et al. “Data analysis using neural networks and Kohonen maps in a comparative perspective.” 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2023. [Google Scholar]
- Nelyub, Vladimir, et al. “Machine learning to identify key success indicators.” E3S Web of Conferences. Vol. 431. EDP Sciences, 2023. [Google Scholar]
- Borodulin, Aleksey, et al. “Using machine learning algorithms to solve data classification problems using multi-attribute dataset.” BIO Web of Conferences. Vol. 84. EDP Sciences, 2024. [Google Scholar]
- Kukartsev, Vladislav, et al. “Using digital twins to create an inventory management system.” E3S Web of Conferences. Vol. 431. EDP Sciences, 2023. [Google Scholar]
- Kukartsev, V., S. A. Zamolockiy, and V. V. Khramkov. “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]
- 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]
- 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]
- 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]
- 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]
- Kolenchukov, O. “Forecasting the technical condition of thermochemical reactor systems.” SOCAR Proceedings No. No. 1. 2023. [Google Scholar]
- Malozyomov, Boris V., et al. “Substantiation of drilling parameters for undermined drainage boreholes for increasing methane production from unconventional coal-gas collectors.” Energies 16.11 (2023): 4276. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.