Results 81 to 90 of about 5,441 (129)
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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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2023
ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´ÐµÑекÑов вÑÑоковолÑÑнÑÑ Ð²Ð²Ð¾Ð´Ð¾Ð², ÑкÑплÑаÑиÑÑемÑÑ Ð½Ð° пÑедпÑиÑÑиÑÑ , и меÑодов вÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´ÐµÑекÑов, а Ñакже ÑазÑабоÑке ÑекомендаÑий по повÑÑÐµÐ½Ð¸Ñ Ð½Ð°Ð´ÐµÐ ...
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ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð´ÐµÑекÑов вÑÑоковолÑÑнÑÑ Ð²Ð²Ð¾Ð´Ð¾Ð², ÑкÑплÑаÑиÑÑемÑÑ Ð½Ð° пÑедпÑиÑÑиÑÑ , и меÑодов вÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½ÑÑ Ð´ÐµÑекÑов, а Ñакже ÑазÑабоÑке ÑекомендаÑий по повÑÑÐµÐ½Ð¸Ñ Ð½Ð°Ð´ÐµÐ ...
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Ðнализ ÑÑнка ÑлекÑÑонной ÑоÑговли
2017ÐбÑекÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ ÐÐР«ÐапиÑки». ЦелÑÑ Ð²ÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ ÑвлÑеÑÑÑ ÑовеÑÑенÑÑвование деÑÑелÑноÑÑи ÐÐР«ÐапиÑки» поÑÑедÑÑвом внедÑÐµÐ½Ð¸Ñ Ð¾Ð½Ð»Ð°Ð¹Ð½ ÑоÑговли.
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2016
Ð ÑезÑлÑÑаÑе ÑабоÑÑ Ð±Ñли запÑоекÑиÑÐ¾Ð²Ð°Ð½Ñ Ð¾Ð³ÑадиÑелÑное ÑооÑÑжение, ÑоÑÑоÑÑее из ÑÑÐµÑ Ð¾ÑновнÑÑ ÐºÐ¾Ð½ÑÑÑÑкÑивнÑÑ ÑлеменÑов: подводной ÑÑÐµÐ½Ñ Ð¸ надÑÑÑойки, и набеÑÐµÐ¶Ð½Ð°Ñ Ñ Ð²ÑÑоким ÑвайнÑм ÑоÑÑвеÑком
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Ð ÑезÑлÑÑаÑе ÑабоÑÑ Ð±Ñли запÑоекÑиÑÐ¾Ð²Ð°Ð½Ñ Ð¾Ð³ÑадиÑелÑное ÑооÑÑжение, ÑоÑÑоÑÑее из ÑÑÐµÑ Ð¾ÑновнÑÑ ÐºÐ¾Ð½ÑÑÑÑкÑивнÑÑ ÑлеменÑов: подводной ÑÑÐµÐ½Ñ Ð¸ надÑÑÑойки, и набеÑÐµÐ¶Ð½Ð°Ñ Ñ Ð²ÑÑоким ÑвайнÑм ÑоÑÑвеÑком
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2021
The work is aimed at studying changes in the actin cytoskeleton and the motility of human mesenchymal stem cells (MSC) in the process of replicative aging. It is known that disturbance of migration processes contributes to the failure of tissue regeneration.
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The work is aimed at studying changes in the actin cytoskeleton and the motility of human mesenchymal stem cells (MSC) in the process of replicative aging. It is known that disturbance of migration processes contributes to the failure of tissue regeneration.
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РазÑабоÑка и анализ модели велоÑипедной вÑÑлки
2018Рданной ÑабоÑе изложена пÑоблема надежноÑÑи велоÑипедной вÑÑлки, опиÑан пÑинÑип ÑабоÑÑ Ð²ÑÑлки, пÑоведен анализ пÑиÑин Ð²Ð¾Ð·Ð½Ð¸ÐºÐ½Ð¾Ð²ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð»Ð¾Ð¼Ð¾Ðº, вÑнеÑена гипоÑеза о возможнÑÑ Ð¿ÑÑÑÑ Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ ...
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Ðнализ ÑÑнка ÑÑомаÑологиÑеÑкого обоÑÑÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¤Ð Ð
2021The purpose of the graduate qualification work is to select a strategy for the market introduction of environmentally friendly equipment in the territory of the Federal Republic of Germany. The topic of this work is analysis of the market of dental equipment. To solve the goal the following objectives were defined: 1.
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2019
In this paper, a draft of a residential building with a height of 103.6 meters with embedded non-residential premises on the first floor was developed. For the object, the calculation of the duration of construction for different design options was made.
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In this paper, a draft of a residential building with a height of 103.6 meters with embedded non-residential premises on the first floor was developed. For the object, the calculation of the duration of construction for different design options was made.
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2023
ÐÐµÐ¾Ð±Ñ Ð¾Ð´Ð¸Ð¼Ð¾ÑÑÑ Ð¾Ð¿ÐµÑаÑивного полÑÑÐµÐ½Ð¸Ñ Ð¸ обÑабоÑки инÑоÑмаÑии о Ñ Ð°ÑакÑеÑиÑÑÐ¸ÐºÐ°Ñ Ð¿ÑÑка, инжекÑиÑÑемого в Ð¿Ð»Ð°Ð·Ð¼Ñ Ñокамака, ÑвлÑеÑÑÑ Ð²Ð°Ð¶Ð½Ð¾Ð¹ задаÑей Ð´Ð»Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ ÑкÑпеÑименÑов Ñ Ð½ÐµÐ¹ÑÑалÑной инж
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ÐÐµÐ¾Ð±Ñ Ð¾Ð´Ð¸Ð¼Ð¾ÑÑÑ Ð¾Ð¿ÐµÑаÑивного полÑÑÐµÐ½Ð¸Ñ Ð¸ обÑабоÑки инÑоÑмаÑии о Ñ Ð°ÑакÑеÑиÑÑÐ¸ÐºÐ°Ñ Ð¿ÑÑка, инжекÑиÑÑемого в Ð¿Ð»Ð°Ð·Ð¼Ñ Ñокамака, ÑвлÑеÑÑÑ Ð²Ð°Ð¶Ð½Ð¾Ð¹ задаÑей Ð´Ð»Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¸Ñ ÑкÑпеÑименÑов Ñ Ð½ÐµÐ¹ÑÑалÑной инж
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Ðнализ оÑновнÑÑ Ð´ÑайвеÑов ÑоÑÑийÑкого Ñондового ÑÑнка
2021ÐÑÐµÐ´Ð¼ÐµÑ Ð¸ÑÑледованиÑ: пÑоведение анализа ÑакÑоÑов, влиÑÑÑÐ¸Ñ Ð½Ð° ÑÑнок ÑеннÑÑ Ð±Ñмаг. ÐадаÑи, коÑоÑÑе ÑеÑалиÑÑ Ð² Ñ Ð¾Ð´Ðµ иÑÑледованиÑ: 1. ÐзÑÑение оÑобенноÑÑей Ñондового ÑÑнка. 2.
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