Results 31 to 40 of about 83 (55)
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2022
Ð Ñ Ð¾Ð´Ðµ напиÑÐ°Ð½Ð¸Ñ ÐºÐ²Ð°Ð»Ð¸ÑикаÑионной вÑпÑÑкной ÑабоÑÑ Ð±Ñл пÑоведен анализ ÑовÑеменнÑÑ Ñизико-Ñ Ð¸Ð¼Ð¸ÑеÑÐºÐ¸Ñ Ð¼ÐµÑодов, коÑоÑÑе пÑименÑÑÑÑÑ Ð² ÑкÑпеÑÑизе давноÑÑи изгоÑÐ¾Ð²Ð»ÐµÐ½Ð¸Ñ ÑÑкопиÑнÑÑ Ð·Ð°Ð¿Ð¸Ñей. ÐÑоб
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Ð Ñ Ð¾Ð´Ðµ напиÑÐ°Ð½Ð¸Ñ ÐºÐ²Ð°Ð»Ð¸ÑикаÑионной вÑпÑÑкной ÑабоÑÑ Ð±Ñл пÑоведен анализ ÑовÑеменнÑÑ Ñизико-Ñ Ð¸Ð¼Ð¸ÑеÑÐºÐ¸Ñ Ð¼ÐµÑодов, коÑоÑÑе пÑименÑÑÑÑÑ Ð² ÑкÑпеÑÑизе давноÑÑи изгоÑÐ¾Ð²Ð»ÐµÐ½Ð¸Ñ ÑÑкопиÑнÑÑ Ð·Ð°Ð¿Ð¸Ñей. ÐÑоб
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2018
ÐбÑекÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ Ñекламно-пÑоизводÑÑÐ²ÐµÐ½Ð½Ð°Ñ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ñ ÐÐР«ÐпелÑбÑÑг». ÐÑедмеÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ ÑкономиÑеÑÐºÐ°Ñ Ð¼Ð¾ÑиваÑÐ¸Ñ ÑоÑÑÑдников ÐÐР«ÐпелÑбÑÑг» как меÑод ÑкономиÑеÑ
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ÐбÑекÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ Ñекламно-пÑоизводÑÑÐ²ÐµÐ½Ð½Ð°Ñ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ñ ÐÐР«ÐпелÑбÑÑг». ÐÑедмеÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ ÑкономиÑеÑÐºÐ°Ñ Ð¼Ð¾ÑиваÑÐ¸Ñ ÑоÑÑÑдников ÐÐР«ÐпелÑбÑÑг» как меÑод ÑкономиÑеÑ
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2020
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ЦенноÑÑно-ÑмÑÑловÑе оÑиенÑаÑии вожаÑÑÑ Ñ ÑазнÑм ÑÑажем ÑабоÑÑ Ð² деÑÑÐºÐ¸Ñ Ð¾Ð·Ð´Ð¾ÑовиÑелÑнÑÑ Ð»Ð°Ð³ÐµÑÑÑ Â».ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑенноÑÑно-ÑÐ¼Ñ ...
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ЦенноÑÑно-ÑмÑÑловÑе оÑиенÑаÑии вожаÑÑÑ Ñ ÑазнÑм ÑÑажем ÑабоÑÑ Ð² деÑÑÐºÐ¸Ñ Ð¾Ð·Ð´Ð¾ÑовиÑелÑнÑÑ Ð»Ð°Ð³ÐµÑÑÑ Â».ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑенноÑÑно-ÑÐ¼Ñ ...
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Object of study is recognition and segmentation of the heart on MRI images using the YOLOv8 model. The aim is exploring the application of the YOLOv8 model for cardiac segmentation in medical image analysis. Open educational resources and information search and analysis programs were used.
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2021
The subject of the graduate qualification work is «Modernization of the mechatronic line using the technology of radio frequency identification of manufactured products». This work is devoted to the study of radio frequency identification at the hardware and software levels, as well as the refinement of the SCADA system and control program.
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The subject of the graduate qualification work is «Modernization of the mechatronic line using the technology of radio frequency identification of manufactured products». This work is devoted to the study of radio frequency identification at the hardware and software levels, as well as the refinement of the SCADA system and control program.
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ЦелÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ Ð¸Ð·ÑÑение влиÑÐ½Ð¸Ñ Ð¾ÑделÑнÑÑ
видов ÑÑÑÑкой пÑикладной гÑаÑики пеÑиода ÐеÑвой миÑовой Ð²Ð¾Ð¹Ð½Ñ Ð½Ð° ÑволÑÑÐ¸Ñ Ñ
ÑдожеÑÑвенного пÑоÑеÑÑа в коммÑникаÑивном дизайне. ÐÐ»Ñ Ð´Ð¾ÑÑ
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2020
This paper describes a semi-supervised learning approach based on convolutional neural networks for medical image segmentation. Presented results for both synthetic data and medical images which proves the applicability of the suggested method to the problem of pathology image segmentation.
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This paper describes a semi-supervised learning approach based on convolutional neural networks for medical image segmentation. Presented results for both synthetic data and medical images which proves the applicability of the suggested method to the problem of pathology image segmentation.
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2021
РоÑÐ½Ð¾Ð²Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑабоÑÑ Ð»ÐµÐ³Ð»Ð° задаÑа по многокÑиÑеÑиалÑной оÑенке моделиÑÑемой ÑиÑÑемÑ, Ñ ÑелÑÑ Ð¿Ð¾Ð¸Ñка наиболее опÑималÑного ÑоÑÑава обоÑÑдованиÑ.
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РоÑÐ½Ð¾Ð²Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑабоÑÑ Ð»ÐµÐ³Ð»Ð° задаÑа по многокÑиÑеÑиалÑной оÑенке моделиÑÑемой ÑиÑÑемÑ, Ñ ÑелÑÑ Ð¿Ð¾Ð¸Ñка наиболее опÑималÑного ÑоÑÑава обоÑÑдованиÑ.
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Рданной ÑабоÑе иÑÑледÑеÑÑÑ Ð¿ÑоÑеÑÑ Ð¸Ð´ÐµÐ½ÑиÑикаÑии конÑÑÑа ÑегÑлиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ ÑинÑез ÑегÑлÑÑоÑа на пÑогÑаммиÑÑемом логиÑеÑком конÑÑоллеÑе (ÐÐÐ). ÐÑоведен Ð¾Ð±Ð·Ð¾Ñ ÑÑÑеÑÑвÑÑÑиÑ
меÑодов аппÑокÑимаÑи
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2023
The research set the following goals: 1. To select the oligonucleotide sequences of primers and probe for the diagnosis of Bifidobacterium longum. 2. Optimize the conditions of the polymerase chain reaction in real time for theidentification of Bifidobacterium longum bacteria.
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The research set the following goals: 1. To select the oligonucleotide sequences of primers and probe for the diagnosis of Bifidobacterium longum. 2. Optimize the conditions of the polymerase chain reaction in real time for theidentification of Bifidobacterium longum bacteria.
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