https://oldena.lpnu.ua/handle/ntb/52161
Title: | Intellectual System of Management of the Dealer's Network of Ecological Vehicle Transport |
Authors: | Dyachuk, Andriy Berko, Andriy Matseliukh, Yurii |
Affiliation: | Lviv Polytechnic National University |
Bibliographic description (Ukraine): | Dyachuk A. Intellectual System of Management of the Dealer's Network of Ecological Vehicle Transport / Andriy Dyachuk, Andriy Berko, Yurii Matseliukh // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 280. — (Intelligent Systems). |
Bibliographic description (International): | Dyachuk A. Intellectual System of Management of the Dealer's Network of Ecological Vehicle Transport / Andriy Dyachuk, Andriy Berko, Yurii Matseliukh // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 280. — (Intelligent Systems). |
Is part of: | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 |
Issue Date: | 23-Apr-2020 |
Publisher: | Видавництво Львівської політехніки Lviv Politechnic Publishing House |
Place of the edition/event: | Львів Lviv |
Temporal Coverage: | 23-24 April 2020, Lviv, Ukraine |
Number of pages: | 1 |
Page range: | 280 |
Start page: | 280 |
End page: | 280 |
URI: | https://ena.lpnu.ua/handle/ntb/52161 |
ISSN: | 2523-4013 |
Copyright owner: | © Національний університет “Львівська політехніка”, 2020 |
URL for reference material: | https://patents.google.com/patent/US20170140349A1/en |
References (Ukraine): | 1. Vehicle Group Charging System and Method of Use [Online resource]. - Access mode: https://patents.google.com/patent/US20170140349A1/en 2. Boreiko, O. Y., Teslyuk, V. M., Zelinskyy, A., Berezsky, О.: Development of models and means of the server part of the system for passenger traffic registration of public transport in the "smart" city. In: Eastern-European Journal of Enterprise Technologies, 1(2-85), 40-47. (2017) 3. Kazarian, A., Teslyuk, V., Tsmots, I., Tykhan, M.: Implementation of the Face Recognition Module for the “Smart” Home Using Remote Server. In: Advances in Intelligent Systems and Computing III, AISC 871, Springer, 17–27. (2019) 4. Lytvynenko, V., Savina, N., Krejci, J., Voronenko, M., Yakobchuk, M., Kryvoruchko, O.: Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport. In: CEUR Workshop Proceedings, Vol-2386, 1-10. (2019). |
References (International): | 1. Vehicle Group Charging System and Method of Use [Online resource], Access mode: https://patents.google.com/patent/US20170140349A1/en 2. Boreiko, O. Y., Teslyuk, V. M., Zelinskyy, A., Berezsky, O., Development of models and means of the server part of the system for passenger traffic registration of public transport in the "smart" city. In: Eastern-European Journal of Enterprise Technologies, 1(2-85), 40-47. (2017) 3. Kazarian, A., Teslyuk, V., Tsmots, I., Tykhan, M., Implementation of the Face Recognition Module for the "Smart" Home Using Remote Server. In: Advances in Intelligent Systems and Computing III, AISC 871, Springer, 17–27. (2019) 4. Lytvynenko, V., Savina, N., Krejci, J., Voronenko, M., Yakobchuk, M., Kryvoruchko, O., Bayesian Networks' Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport. In: CEUR Workshop Proceedings, Vol-2386, 1-10. (2019). |
Content type: | Article |
Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р. |
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2020v2_Dyachuk_A-Intellectual_System_of_Management_280.pdf | 190.86 kB | Adobe PDF | View/Open | |
2020v2_Dyachuk_A-Intellectual_System_of_Management_280__COVER.png | 266.46 kB | image/png | View/Open |
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