Forecasting the Fund of Time for Performance of Works in Hybrid Projects Using Machine Training Technologies - researchr publication authors

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Nazar Koval, Natoliy Tryhuba, Igor Kondysiuk, Inna Ryhuba, Oksana Boiarchuk, Mykola Rudynets, Vitalij Grabovets, Vasyl Onyshchuk. Forecasting the Fund of Time for Performance of Works in Hybrid Projects Using Machine Training Technologies. In Michael Emmerich, Vasyl Lytvyn, Victoria Vysotska, Vítor Basto Fernandes, Volodymyr Lytvynenko, editors, Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, Lviv-Shatsk, Ukraine, June 5-6, 2021. Volume 2917 of CEUR Workshop Proceedings, pages 196-206, CEUR-WS.org, 2021. [doi]

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