Open Access
Issue |
E3S Web Conf.
Volume 592, 2024
International Scientific Conference Energy Management of Municipal Facilities and Environmental Technologies (EMMFT-2024)
|
|
---|---|---|
Article Number | 04005 | |
Number of page(s) | 7 | |
Section | Gas and Oil Industry, Pipelines | |
DOI | https://doi.org/10.1051/e3sconf/202459204005 | |
Published online | 20 November 2024 |
- Oymyakon Ulus (Region). https://en.wikipedia.org/wiki/Oymyakon [Google Scholar]
- S. Campbell, Above Ground Utilities in Yakutsk, Russia (Education and Researh Archive, ERA, 2014). https://era.librarv.ualberta.ca/items/827666c6-8e0e-46fc-967f-7ecb7db43ab5 [Google Scholar]
- A. Higgins, Along Russia’s Road of Bones, Relics of Suffering and Despair (The New York Times, November 22, 2020) [Google Scholar]
- Simcenter STAR-CCM+ (Siemens Digital Industries Software, 2020). https://en.wikipedia.org/wiki/SimcenterSTAR-CCM%2B [Google Scholar]
- SP 131.13330.2020. Building climatology (M., Standardinform, 2021). https://www.minstrovrf.gov.ru/upload/iblock/82b/SP-131.pdf (In Russian) [Google Scholar]
- Heat Pipe Calculator (Celsia, 2024). https://celsiainc.com/resources/calculators/heat-pipe-calculator/ [Google Scholar]
- Heat Pipe Calculator (Advanced Cooling Technjkjgy, 2024). https://www.1-act.com/resources/tools/heat-pipe-calculator/ [Google Scholar]
- Compressed Pallet Blocks (PalletBiz, 2024). https://palletbiz.com/compressed-pallet-blocks/ [Google Scholar]
- P. Durham, What is SolidWorks? (Technia, US, 2023). https://www.technia.us/blog/what-is-solidworks/ [Google Scholar]
- V.V. Efimov, S.V. Mescheryakov, D.A. Shchemelinin, Integration Data Model for Continuous Service Delivery in Cloud Computing System (Springer International Publishing, 2017, 700) [Google Scholar]
- S.V. Mescheryakov, D.A. Shchemelinin, Methods of Big Data Visualization and Analysis in Cloud Computing Information Systems, in Proceedings of the 28th International Conference on Computer Graphics and Machine Vision, Tomsk (2018) [Google Scholar]
- Y. Ardulov, K. Kucherova, S. Mescheryakov, D. Shchemelinin, Self-learning Machine Method for Anomaly Detection in Real Time Data, in Proceedings of the 10th International Congress on Ultra Modern Telecommunications and Control Systems, ICUMT, Moscow (2018). https://ieeexplore.ieee.org/document/8631225 [Google Scholar]
- K. Kucherova, S. Mescheryakov, D. Shchemelinin, Using Predictive Monitoring Models in Cloud Computing Systems (Springer International Publishing, 2018, 919) [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.