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All issues Volume 164 (2020) E3S Web Conf., 164 (2020) 06018 References
Open Access
Issue
E3S Web Conf.
Volume 164, 2020
Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
Article Number 06018
Number of page(s) 10
Section Agriculture and Biotechnologies
DOI https://doi.org/10.1051/e3sconf/202016406018
Published online 05 May 2020
  1. A. S. Apatenko, J. Machines and equipment for the village. 3. 27–30 (2019). doi: 10.33267/2072-9642-2019-3-27-30. [CrossRef] [Google Scholar]
  2. N. Siltala, E. Järvenpää, M. Lanz, IFAC-PapersOnLine, 51(11), 102-107 (2018). https://doi.org/10.1016/j.ifacol.2018.08.242. [CrossRef] [Google Scholar]
  3. A.P. Kuznetsov, H.-J. Koriath, A.V. Kalyashina, T. Langer, Procedia Manufacturing, 21, 525-532 (2018). https://doi.org/10.1016/j.promfg.2018.02.153. [Google Scholar]
  4. B. Denkena, M.-A. Dittrich, F. Uhlich, M. Wichmann, Procedia CIRP, 80, 180-185 (2019). https://doi.org/10.1016/j.procir.2019.01.101. [Google Scholar]
  5. C. W. Callaghan, Futures, 104, 100-116 (2018). DOI: 10.1016/j.futures.2018.08.001. [Google Scholar]
  6. C. Mao, R. Koide, A. Brem, L. Akenji, Technological Forecasting and Social Change, 153, 119914 (2020). https://doi.org/10.1016/j.techfore.2020.119914. [Google Scholar]
  7. D. Golenko-Ginzburg, S. Sitniakovski, L. Papic, Mathematics and Computers in Simulation, 53(1–2), 105-112 (2000). https://doi.org/10.1016/S0378-4754(00)00175-0. [Google Scholar]
  8. W. Zhu, Z. Zhang et al., Journal of Cleaner Production, 238, 117908 (2019). https://doi.org/10.1016/j.jclepro.2019.117908. [Google Scholar]
  9. H. Desing, D. Brunner et al., Resources, Conservation and Recycling, 155, 104673 (2020). https://doi.org/10.1016/j.resconrec.2019.104673. [CrossRef] [Google Scholar]
  10. D. Goldstein, Technological Forecasting and Social Change, 99, 168-180 (2015). https://doi.org/10.1016/j.techfore.2015.04.014. [Google Scholar]
  11. S. Repin, A. Zazykin, V. Gordienko, Transportation Research Procedia, 36, 654-660 (2018). https://doi.org/10.1016/j.trpro.2018.12.131. [CrossRef] [Google Scholar]
  12. D. Gajdová, M. Krechovská, G. Dubcová, Procedia - Social and Behavioral Sciences, 230, 264-271 (2016). https://doi.org/10.1016/j.sbspro.2016.09.034. [CrossRef] [Google Scholar]
  13. A. Wasiluk, Procedia Engineering, 182, 755-762 (2017). https://doi.org/10.1016/j.proeng.2017.03.195. [Google Scholar]
  14. N. Sevryugina, MATEC Web of Conferences, 117, UNSP00151 (2017). DOI: 10.1051/matecconf/201711700151. [CrossRef] [EDP Sciences] [Google Scholar]
  15. N. Sevryugina Nadezhda, EMMFT 2017. Advances in Intelligent Systems and Computing, 692, 273-281. (2017). DOI: 10.1007/978-3-319-70987-1_29. [CrossRef] [Google Scholar]
  16. A.S. Apatenko, N.S. Sevryugina J. Machines and equipment for the village. 7(285). 42-44 (2019). doi: 10.33267/2072-9642-2019-7-35-38. [Google Scholar]
  17. A.V. Zorin, N.I. Baurova et al., Russ.Engin. Res. 39, 680-682 (2019). https://doi.org/10.3103/S1068798X19080227. [CrossRef] [Google Scholar]
  18. X. Zhang, T. Wu et al., Journal of Systems and Software, 147, 147-161 (2019). https://doi.org/10.1016/j.jss.2018.09.084. [CrossRef] [Google Scholar]
  19. N.M. Gulsrud, C.M. Raymond et al., Landscape and Urban Planning, 180, 85-92 (2018). https://doi.org/10.1016/j.landurbplan.2018.08.012. [Google Scholar]
  20. S. Berg, M. Wustmans, S. Bröring, Technological Forecasting and Social Change, 146, 706-722 (2019). https://doi.org/10.1016/j.techfore.2018.07.046. [Google Scholar]
  21. N. Yussupova, D. Rizvanov, IFAC-PapersOnLine, 51(30), 544-547 (2018). https://doi.org/10.1016/j.ifacol.2018.11.269. [CrossRef] [Google Scholar]
  22. M. Coccia, J. Watts, Journal of Engineering and Technology Management, 55, 101552 (2020). https://doi.org/10.1016/j.jengtecman.2019.11.003. [Google Scholar]

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