EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 363 (2022) E3S Web Conf., 363 (2022) 04006 References
Open Access
Issue
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
Article Number 04006
Number of page(s) 8
Section Environmental Education and Digital Solutions. Environmentally Responsible Behavior
DOI https://doi.org/10.1051/e3sconf/202236304006
Published online 14 December 2022
  1. Y. Deniskin, A. Deniskina, I. Pocebneva, S. Revunova, Application of complex information objects in industry management systems. Paper presented at the E3S Web of Conferences, 164 (2020) DOI:10.1051/e3sconf/202016410042 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  2. A. Smolyaninov, I. Pocebneva, I. Fateeva, K. Singur, Software implementation of a virtual laboratory bench for distance learning. Paper presented at the E3S Web of Conferences, 244 (2021) DOI:10.1051/e3sconf/202124411009 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  3. V. I. Bekhmetyev, V. A. Tereshonkov, & V. Lepeshkin, VERTICAL CAD in the design of efficient technologies for making aircraft glider parts (2022) DOI:10.1007/978-3-030-94202-1_28 [Google Scholar]
  4. S. Serebryansky, B. Safoklov, I. Pocebneva, & V. Lepeshkin, Improving the efficiency of production processes of enterprises of the aviation industry (2022) DOI:10.1007/978-3-030-80946-1_91 [Google Scholar]
  5. O. Dolgov, B. Safoklov, S. Sergeeva, & A. Ivanova, Application of automated systems for quality control of ground anti-icing treatment of aircraft. Paper presented at the E3S Web of Conferences, 244 (2021) DOI:10.1051/e3sconf/202124408001 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  6. V. Soare, G. Varzaru, A. Zarnescu, R. Ungurelu and C. Ionescu, “Considerations Regarding Computer Aided Design of a Structure to be Manufactured in Occam Technology,” 2018 IEEE 24th International Symposium for Design and Technology in Electronic Packaging (SIITME), 2018, pp. 124–127, doi: 10.1109/SIITME.2018.8599201. [Google Scholar]
  7. E. Fedorov and A. Ferenetz, “Computer-Aided design of vehicle electrical harnesses,” 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), pp. 1–4, (2017) doi: 10.1109/ICIEAM.2017.8076382. [Google Scholar]
  8. G. Marinova, O. Chikov and B. Rodič, “E-Content and Tool Selection in the Cloud-based Online-CADCOM Platform for Computer-Aided Design in Communications,” 2019 15th International Conference on Telecommunications (ConTEL), pp. 1–5, (2019) doi: 10.1109/ConTEL.2019.8848533. [Google Scholar]
  9. D. Yurin, A. Deniskina, B. Boytsov, & M. Karpovich,. Quality 4.0. time of revolutionary changes in the QMS. Paper presented at the E3S Web of Conferences,, 244 (2021) DOI:10.1051/e3sconf/202124411010 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  10. A. Korchagin, Y. Deniskin, I. Pocebneva, & O. Vasilyeva. Lean maintenance 4.0: Implementation for aviation industry. Paper presented at the Transportation Research Procedia, 63 1521–1533. (2022) DOI:10.1016/j.trpro.2022.06.164 [CrossRef] [Google Scholar]
  11. I. A. Konstantinov, V. A. Kaigorodova, & D. S. Shavelkin, Methodology for formation of an optimized verification, validation and integration program for an aircraft based on models of its architecture (2023) DOI:10.1007/978-981-16-8154-7_32 [Google Scholar]
  12. O. S. Dolgov, B. B. Safoklov, & D. S. Shavelkin. Intelligent access control systems. Paper presented at the Proceedings – 2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022, 659–663. (2022) DOI:10.1109/ICIEAM54945.2022.9787125 [Google Scholar]
  13. B. Ydir, D. Ben Hmamou, Y. Ait-Wahmane, A. Ihlal, M. Bousseta, & H. Lahlou,. Design, implementation, and characterization of an automated SILAR system: Validation with ZnO thin film deposition. International Journal of Advanced Manufacturing Technology, 123(3–4), 1189–1201. (2022) DOI:10.1007/s00170-022-10207-1 [CrossRef] [Google Scholar]
  14. K. Herps, Q. Dang, T. Martagan, & I. Adan, A simulation-based approach to design an automated high-mix low-volume manufacturing system. Journal of Manufacturing Systems, 64, 1–18. (2022) DOI:10.1016/j.jmsy.2022.05.013 [CrossRef] [Google Scholar]
  15. J. Gulyamov. Warehouse accounting automated information system design. Paper presented at the AIP Conference Proceedings, 2432 (2022) DOI:10.1063/5.0089476 [Google Scholar]
  16. M. Pfeifer, Automated model generation and observer design for interconnected systems. [Automatisierte Erzeugung von Modellen und Beobachtern für physikalischvernetzte Systeme] At-Automatisierungstechnik, 70(4), 400–401. (2022) DOI:10.1515/auto-2022-0021 [Google Scholar]
  17. T. Sari, M. Sever, A. T. Candan, G. T. C. Girgin, E. Girgin, & M. Haklidir, Cloud assisted connected and automated mobility system architecture design and experimental verification: The 5 G-MOBIX autonomous truck routing use case. Paper presented at the IEEE Intelligent Vehicles Symposium, Proceedings, 2022-June 1374–1380. (2022) DOI:10.1109/IV51971.2022.9827077 [Google Scholar]
  18. I. A. Barkov, C. S. Gabdrakhmanova, G. I. Gaptullazyanova, & A. V. Kholkin, Automated semantic design system. Paper presented at the Proceedings of SPIE – the International Society for Optical Engineering, 12251 (2022) DOI:10.1117/12.2631605 [Google Scholar]
  19. J. Lu, Q. Fan, G. Zhou, L. Lu, C. Yu, A. P. T. Lau, & C. Lu,. Automated training dataset collection system design for machine learning application in optical networks: An example of quality of transmission estimation. Journal of Optical Communications and Networking, 13(11), 289–300. (2021) DOI:10.1364/JOCN.431780 [CrossRef] [Google Scholar]
  20. G. Kahraman, & L. Cleophas, Automated derivation of variants in manufacturing systems design. Paper presented at the ACM International Conference Proceeding Series, Part F171625-B 45–50. (2021) DOI:10.1145/3461002.3473942 [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.