Results 101 to 110 of about 648 (168)
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2022
С бÑÑÑÑÑм ÑазвиÑием наÑки и ÑÐµÑ Ð½Ð¸ÐºÐ¸ ÑÑÐ¾Ð²ÐµÐ½Ñ Ð¶Ð¸Ð·Ð½Ð¸ лÑдей знаÑиÑелÑно повÑÑилÑÑ, поÑÑÐ¾Ð¼Ñ Ð¸ÑполÑзование компÑÑÑеÑнÑÑ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¹ Ð´Ð»Ñ ÑеÑÐµÐ½Ð¸Ñ Ð¿ÑакÑиÑеÑÐºÐ¸Ñ Ð·Ð°Ð´Ð°Ñ ÑÑало более маÑÑÑабнÑм и важнÑм.
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С бÑÑÑÑÑм ÑазвиÑием наÑки и ÑÐµÑ Ð½Ð¸ÐºÐ¸ ÑÑÐ¾Ð²ÐµÐ½Ñ Ð¶Ð¸Ð·Ð½Ð¸ лÑдей знаÑиÑелÑно повÑÑилÑÑ, поÑÑÐ¾Ð¼Ñ Ð¸ÑполÑзование компÑÑÑеÑнÑÑ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¹ Ð´Ð»Ñ ÑеÑÐµÐ½Ð¸Ñ Ð¿ÑакÑиÑеÑÐºÐ¸Ñ Ð·Ð°Ð´Ð°Ñ ÑÑало более маÑÑÑабнÑм и важнÑм.
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2022
The subject of the graduate qualification work is: «Client-server application for networking among students». This work is devoted to the creation of a client-server application for networking of among students. Tasks that were solved during the study: The relevance of the research. To review networking solutions among students.
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The subject of the graduate qualification work is: «Client-server application for networking among students». This work is devoted to the creation of a client-server application for networking of among students. Tasks that were solved during the study: The relevance of the research. To review networking solutions among students.
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2023
ЦелÑÑ ÑабоÑÑ ÑвлÑеÑÑÑ Ð¸Ð·ÑÑение меÑодов повÑÑÐµÐ½Ð¸Ñ Ð»Ð¾ÑлÑноÑÑи. РабоÑа вÑполнена на базе даннÑÑ Ð¾ÑкÑÑÑÑÑ Ð¸ÑÑоÑников в инÑеÑнеÑе, Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð»Ð¸ÑеÑаÑÑÑÑ Ð¸ онлайн-библиоÑек.
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ЦелÑÑ ÑабоÑÑ ÑвлÑеÑÑÑ Ð¸Ð·ÑÑение меÑодов повÑÑÐµÐ½Ð¸Ñ Ð»Ð¾ÑлÑноÑÑи. РабоÑа вÑполнена на базе даннÑÑ Ð¾ÑкÑÑÑÑÑ Ð¸ÑÑоÑников в инÑеÑнеÑе, Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð»Ð¸ÑеÑаÑÑÑÑ Ð¸ онлайн-библиоÑек.
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2020
The subject of the graduate qualification work is âMethods of increasing the satisfaction of students of online courses at SPbPU. The purpose of the study is to identify students âattitudes to online courses as part of their compulsory study and who choose to take the course of their free will.
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The subject of the graduate qualification work is âMethods of increasing the satisfaction of students of online courses at SPbPU. The purpose of the study is to identify students âattitudes to online courses as part of their compulsory study and who choose to take the course of their free will.
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2023
The purpose of this work is to increase the reliability of the network by reconstructing the "Zapadnaya" 35/10 kV substation in Simferopol and developing the most optimal project that takes into account all necessary parameters and requirements. The main tasks of the work were achieved by replacing the power transformer T1 with a TMN-10000 35/10 kV ...
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The purpose of this work is to increase the reliability of the network by reconstructing the "Zapadnaya" 35/10 kV substation in Simferopol and developing the most optimal project that takes into account all necessary parameters and requirements. The main tasks of the work were achieved by replacing the power transformer T1 with a TMN-10000 35/10 kV ...
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2021
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐапÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑдовлеÑвоÑенноÑÑи поÑÑебиÑелей в ÑиÑÑеме менеджменÑа каÑеÑÑва пÑедпÑиÑÑиÑ».
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐапÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑдовлеÑвоÑенноÑÑи поÑÑебиÑелей в ÑиÑÑеме менеджменÑа каÑеÑÑва пÑедпÑиÑÑиÑ».
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СовÑеменнÑе меÑÐ¾Ð´Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð²Ð·ÑоÑлÑÑ
2018ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена ÑаÑÑмоÑÑÐµÐ½Ð¸Ñ Ð¼ÐµÑодов обÑÑÐµÐ½Ð¸Ñ Ð²Ð·ÑоÑлÑÑ . ÐÐ°Ð½Ñ ÑеоÑеÑиÑеÑкие понÑÑÐ¸Ñ Ð¼ÐµÑодов обÑÑениÑ, ÑаÑÑмоÑÑÐµÐ½Ñ Ð¿ÑинÑÐ¸Ð¿Ñ Ð¸ оÑобенноÑÑи обÑÑÐµÐ½Ð¸Ñ Ð²Ð·ÑоÑлÑÑ . РаÑÑмоÑÑÐµÐ½Ñ ÐºÐ»Ð°ÑÑиÑикаÑии
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2020
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ Ð±Ð°ÐºÐ°Ð»Ð°Ð²Ñа: «РазÑабоÑка меÑопÑиÑÑий по повÑÑÐµÐ½Ð¸Ñ ÑзнаваемоÑÑи бÑенда «Ballet»». Ð¦ÐµÐ»Ñ ÑабоÑÑ â ÑазÑабоÑаÑÑ Ð¼ÐµÑопÑиÑÑÐ¸Ñ Ð¿Ð¾ повÑÑÐµÐ½Ð¸Ñ ÑзнаваемоÑÑи бÑенда  ...
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ Ð±Ð°ÐºÐ°Ð»Ð°Ð²Ñа: «РазÑабоÑка меÑопÑиÑÑий по повÑÑÐµÐ½Ð¸Ñ ÑзнаваемоÑÑи бÑенда «Ballet»». Ð¦ÐµÐ»Ñ ÑабоÑÑ â ÑазÑабоÑаÑÑ Ð¼ÐµÑопÑиÑÑÐ¸Ñ Ð¿Ð¾ повÑÑÐµÐ½Ð¸Ñ ÑзнаваемоÑÑи бÑенда  ...
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2021
This work is devoted to the comparison of classical methods of nonlinear distortion compensation in fiber-optic communication networks with a more modern and relevant method based on deep neural networks. The comparison is made by the level of errors and the complexity of the implementation. There is also suggest ways to improve this algorithm.
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This work is devoted to the comparison of classical methods of nonlinear distortion compensation in fiber-optic communication networks with a more modern and relevant method based on deep neural networks. The comparison is made by the level of errors and the complexity of the implementation. There is also suggest ways to improve this algorithm.
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ÐеÑÐ¾Ð´Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼ÐµÐ¶ÐºÑлÑÑÑÑной коммÑникаÑии
2017Рданной вÑпÑÑкной квалиÑикаÑионной ÑабоÑе пÑедÑÑÐ°Ð²Ð»ÐµÐ½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼ÐµÐ¶ÐºÑлÑÑÑÑной коммÑникаÑии в ÑÐ°Ð¼ÐºÐ°Ñ Ð¿ÑÐµÐ¿Ð¾Ð´Ð°Ð²Ð°Ð½Ð¸Ñ Ð¸Ð½Ð¾ÑÑÑанного ÑзÑка в вÑзе ÑÑÑденÑам ÑзÑковÑÑ Ð¸ неÑзÑковÑÑ ÑпеÑÐ¸Ð°Ð»Ñ ...
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