Results 41 to 50 of about 94 (94)
Some of the next articles are maybe not open access.
2020
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐÑÑокопÑоÑнÑе легкие беÑÐ¾Ð½Ñ Ð´Ð»Ñ Ð¼Ð¾Ð½Ð¾Ð»Ð¸Ñного домоÑÑÑоениÑ». ÐадаÑи, коÑоÑÑе ÑеÑалиÑÑ Ð² Ñ Ð¾Ð´Ðµ иÑÑледованиÑ: 1.
openaire +1 more source
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐÑÑокопÑоÑнÑе легкие беÑÐ¾Ð½Ñ Ð´Ð»Ñ Ð¼Ð¾Ð½Ð¾Ð»Ð¸Ñного домоÑÑÑоениÑ». ÐадаÑи, коÑоÑÑе ÑеÑалиÑÑ Ð² Ñ Ð¾Ð´Ðµ иÑÑледованиÑ: 1.
openaire +1 more source
2023
ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа напÑавлена на ÑеÑение задаÑи пÑогнозиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾ÑÑока клиенÑов банка Ñ Ð¸ÑполÑзованием меÑодов и алгоÑиÑмов маÑинного обÑÑениÑ.
openaire +1 more source
ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа напÑавлена на ÑеÑение задаÑи пÑогнозиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¾ÑÑока клиенÑов банка Ñ Ð¸ÑполÑзованием меÑодов и алгоÑиÑмов маÑинного обÑÑениÑ.
openaire +1 more source
ÐÑÑÐ´Ñ Ð² иÑÑоÑиÑеÑÐºÐ¸Ñ ÑÑадÑÐ±Ð°Ñ : меÑÐ¾Ð´Ñ Ð²Ð¾ÑÑÑановлениÑ
2017Рданной ÑабоÑе пÑиводиÑÑÑ Ð¼ÐµÑодика воÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÑÑдов на оÑнове ÑиÑÑового моделиÑованиÑ, Ñакже опÑеделÑÑÑÑ Ð¾ÑновнÑе ÑÑÐµÐ±Ð¾Ð²Ð°Ð½Ð¸Ñ Ðº иÑÑ Ð¾Ð´Ð½Ð¾Ð¹ докÑменÑаÑии и ÑекомендаÑии по ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑиÑÑовÑ
openaire +1 more source
СеÑÐ²Ð¸Ñ Ð´Ð»Ñ Ð¿Ð¾Ð¸Ñка компании Ð´Ð»Ñ Ð¸Ð³ÑÑ Ð² наÑÑолÑнÑе игÑÑ
2019ÐаÑÑоÑÑÐ°Ñ Ð²ÑпÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑикаÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑабоÑа бакалавÑа поÑвÑÑена ÑазÑабоÑке веб-пÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¿Ð¾Ð¸Ñка компании Ð´Ð»Ñ Ð¸Ð³ÑÑ Ð² наÑÑолÑнÑе игÑÑ. Ð ÑÐ°Ð¼ÐºÐ°Ñ ÑабоÑÑ ÑаÑÑмоÑÑÐµÐ½Ñ ÑовÑеменнÑе Ð¿Ð¾Ð´Ñ Ð¾Ð´Ñ Ð¿Ð¾ Ñ
openaire +1 more source
2023
This work is devoted to the study of deep learning methods as applied to the diagnosis of various diseases from medical images. In the course of the work, models based on convolutional neural networks were developed using pre-training on big image data (transfer learning), as well as a comparative analysis of their effectiveness on test data.
openaire +1 more source
This work is devoted to the study of deep learning methods as applied to the diagnosis of various diseases from medical images. In the course of the work, models based on convolutional neural networks were developed using pre-training on big image data (transfer learning), as well as a comparative analysis of their effectiveness on test data.
openaire +1 more source
2023
This work is devoted to the modeling of directional high-frequency protection, the analysis of the protection model, and the adjustment and diagnosis of protection. Tasks that were solved during the study: 1. Study of the work of the directional high-frequency protection and its requirements 2.
openaire +1 more source
This work is devoted to the modeling of directional high-frequency protection, the analysis of the protection model, and the adjustment and diagnosis of protection. Tasks that were solved during the study: 1. Study of the work of the directional high-frequency protection and its requirements 2.
openaire +1 more source
The purpose of the work is to study the effectiveness of using statistical tests in the problem of determining scrambler parameters, their implementation and comparison. This work is devoted to the study, implementation and comparison of various statistical methods for analyzing scrambled data. The main research tasks are: 1.
openaire +1 more source
openaire +1 more source
ÐаÑиаÑионное иÑÑиÑление и меÑÐ¾Ð´Ñ Ð¾Ð¿ÑимизаÑии
РаÑÑмаÑÑиваÑÑÑÑ Ð¾ÑÐ½Ð¾Ð²Ñ Ð²Ð°ÑиаÑионного иÑÑиÑÐ»ÐµÐ½Ð¸Ñ Ð¸ наÑала меÑодов опÑимизаÑии. ÐÑедÑÑÐ°Ð²Ð»ÐµÐ½Ñ ÐºÐ°Ðº клаÑÑиÑеÑкие оÑÐ½Ð¾Ð²Ñ Ð²Ð°ÑиаÑионного иÑÑиÑлениÑ, воÑÑ Ð¾Ð´ÑÑие к Ð. ÐйлеÑÑ, Ñак и ÑовÑеменнÑе Ð¿Ð¾Ð´Ñ Ð¾Ð´Ñopenaire +1 more source
2011
ÐеÑаÑаеÑÑÑ Ð¿Ð¾ ÑеÑÐµÐ½Ð¸Ñ ÑедакÑионно-издаÑелÑÑкого ÑовеÑа СанкÑ-ÐеÑеÑбÑÑгÑкого гоÑÑдаÑÑÑвенного полиÑÐµÑ Ð½Ð¸ÑеÑкого ÑнивеÑÑиÑеÑа.
openaire +1 more source
ÐеÑаÑаеÑÑÑ Ð¿Ð¾ ÑеÑÐµÐ½Ð¸Ñ ÑедакÑионно-издаÑелÑÑкого ÑовеÑа СанкÑ-ÐеÑеÑбÑÑгÑкого гоÑÑдаÑÑÑвенного полиÑÐµÑ Ð½Ð¸ÑеÑкого ÑнивеÑÑиÑеÑа.
openaire +1 more source
РабоÑа поÑвÑÑена ÑазÑабоÑке ÑеÑвиÑа Ð´Ð»Ñ Ð°Ð²ÑомаÑизаÑии обмена даннÑми Ð¼ÐµÐ¶Ð´Ñ CRM-ÑиÑÑемой и опÑеделеннÑми ÑÑоÑонними ÑеÑвиÑами, необÑ
одимÑми Ð´Ð»Ñ Ð¿Ð¾Ð»Ð½Ð¾Ñенного Ð²ÐµÐ´ÐµÐ½Ð¸Ñ Ð±Ð¸Ð·Ð½ÐµÑа.
openaire +1 more source
openaire +1 more source

