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The depression type of the Upper Visean-Serpukhovian succession in the Subpolar Urals
The Upper Visean-Serpukhovian deep-water shelf succession is described in the Subpolar Urals. Turbidite model of the sequence forming and direction of the carbonate material transport are proposed. The bioherm and shoal facial belt of the shelf margin is
D. B. Sobolev +3 more
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The arm of the present paper is to evaluate the significance of species from genus Nikiforovella for stratigraphy of Devonian-Carboniferous boundary from different regions of Eurasia.
Zoya A. Tolokonnikova
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The microbial structures of various genesis are rock-forming components in limestones of the Kizelovian regional substage (the Tournaisian stage) on the Middle Urals eastern slope.
Semen A. Dub (Sapurin)
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НИЖНИЙ КАРБОН БОРОВСКОЙ ПОДЗОНЫ ТЮМЕНСКО-КУСТАНАЙСКОГО ПРОГИБА
Нижний карбон Боровской подзоны разделен автором на турнейский, визейский и серпуховский ярусы, визе и серпухов - на подъярусы, горизонты и зоны, согласно [Стратиграфические…, 1993].
doaj
На основе детальных стратиграфических и литологических исследований рассмотрены особенности палеогеографии и палеотектоники восточных зон Среднего Урала в карбоне.
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В статье рассматривается строение и стратиграфическое расчленение палеозойского разреза параметрической скважины Курган-Успенская-1, пробуренной в пределах Вагай-Ишимской впадины.
doaj
В статье приведены новые данные, позволяющие существенно расширить палеонтологическую характеристику и уточнить возраст фаменских, турнейских и ранневизейских отложений южной части Уватского района (в пределах Тобол-Убаганского поднятия и Вагай-Ишимской ...
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Some of the next articles are maybe not open access.
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2021The task of designing a yacht club is the choice of the architectural concept of the club, as well as the definition of structural solutions for the main hydraulic structures of the complex. The relevance of the topic is due to the growing demand for new parking areas for small vessels and the associated port infrastructure, in connection with the ...
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2023
This paper explores the application of machine learning methods for time series forecasting. The options for using ARIMA models, neural networks and the gradient boosting algorithm are considered. As training samples, stock prices were used, as well as data obtained as a result of applying technical indicators.
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This paper explores the application of machine learning methods for time series forecasting. The options for using ARIMA models, neural networks and the gradient boosting algorithm are considered. As training samples, stock prices were used, as well as data obtained as a result of applying technical indicators.
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2021
УÑебное поÑобие ÑооÑвеÑÑÑвÑÐµÑ ÑодеÑÐ¶Ð°Ð½Ð¸Ñ ÐºÑÑÑов диÑÑиплин «ÐналиÑиÑеÑÐºÐ°Ñ Ð³ÐµÐ¾Ð¼ÐµÑÑÐ¸Ñ Ð¸ Ð»Ð¸Ð½ÐµÐ¹Ð½Ð°Ñ Ð°Ð»Ð³ÐµÐ±Ñа» и «ÐаÑемаÑиÑеÑкий анализ» ФÐÐС по напÑавлениÑм подгоÑовки бакалавÑов 01.03.02 «ÐÑикладнР...
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УÑебное поÑобие ÑооÑвеÑÑÑвÑÐµÑ ÑодеÑÐ¶Ð°Ð½Ð¸Ñ ÐºÑÑÑов диÑÑиплин «ÐналиÑиÑеÑÐºÐ°Ñ Ð³ÐµÐ¾Ð¼ÐµÑÑÐ¸Ñ Ð¸ Ð»Ð¸Ð½ÐµÐ¹Ð½Ð°Ñ Ð°Ð»Ð³ÐµÐ±Ñа» и «ÐаÑемаÑиÑеÑкий анализ» ФÐÐС по напÑавлениÑм подгоÑовки бакалавÑов 01.03.02 «ÐÑикладнР...
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