Results 11 to 20 of about 67 (62)
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2021
Automatic classification of modulation types is an important step in the development of an intelligent transceiver. However, there are not many works in the literature devoted to the classification of OFDM signals. In this paper, an algorithm was proposed for the automatic classification of six types of OFDM signal modulations: BPSK, QPSK, 16,64,256 ...
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Automatic classification of modulation types is an important step in the development of an intelligent transceiver. However, there are not many works in the literature devoted to the classification of OFDM signals. In this paper, an algorithm was proposed for the automatic classification of six types of OFDM signal modulations: BPSK, QPSK, 16,64,256 ...
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2022
The subject of graduate qualification work is XGBOOST: classification of parameters of regression analysis methods. The object of study in this thesis is the PW-estimator, one of the methods for estimating the parameters of a piecewise polynomial model for non-stationary time series. The study is aimed on its hypermarapeter, the minimum size of segment
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The subject of graduate qualification work is XGBOOST: classification of parameters of regression analysis methods. The object of study in this thesis is the PW-estimator, one of the methods for estimating the parameters of a piecewise polynomial model for non-stationary time series. The study is aimed on its hypermarapeter, the minimum size of segment
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2021
ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена ÑазÑабоÑке обÑекÑного клаÑÑиÑикаÑоÑа авÑомобилÑной доÑоги. ÐадаÑи, коÑоÑÑе ÑеÑалиÑÑ Ð² Ñ Ð¾Ð´Ðµ иÑÑледованиÑ: 1. Ðнализ и ÑÐ±Ð¾Ñ Ð¸Ð½ÑоÑмаÑии по ноÑмаÑивной докÑменÑаÑии в облР...
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ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена ÑазÑабоÑке обÑекÑного клаÑÑиÑикаÑоÑа авÑомобилÑной доÑоги. ÐадаÑи, коÑоÑÑе ÑеÑалиÑÑ Ð² Ñ Ð¾Ð´Ðµ иÑÑледованиÑ: 1. Ðнализ и ÑÐ±Ð¾Ñ Ð¸Ð½ÑоÑмаÑии по ноÑмаÑивной докÑменÑаÑии в облР...
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2022
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: "РазÑабоÑка клаÑÑиÑикаÑоÑа видов модÑлÑÑии одноÑаÑÑоÑнÑÑ Ñигналов в многолÑÑевом канале на оÑнове нейÑоннÑÑ ÑеÑей".
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: "РазÑабоÑка клаÑÑиÑикаÑоÑа видов модÑлÑÑии одноÑаÑÑоÑнÑÑ Ñигналов в многолÑÑевом канале на оÑнове нейÑоннÑÑ ÑеÑей".
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2023
ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена ÑазÑабоÑке Ð¿Ð¾Ð´Ñ Ð¾Ð´Ð° к обнаÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ клаÑÑиÑикаÑии вÑедоноÑного пÑогÑаммного обеÑпеÑÐµÐ½Ð¸Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑодов маÑинного обÑÑениÑ.
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ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа поÑвÑÑена ÑазÑабоÑке Ð¿Ð¾Ð´Ñ Ð¾Ð´Ð° к обнаÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ клаÑÑиÑикаÑии вÑедоноÑного пÑогÑаммного обеÑпеÑÐµÐ½Ð¸Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑодов маÑинного обÑÑениÑ.
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2023
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «Ðиноделие ÐеÑмании: иÑÑоÑиÑ, клаÑÑиÑикаÑиÑ, ÑкономиÑеÑкое ÑазвиÑие». ЦелÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑабоÑÑ Ð±Ñло иÑÑледование ÑазвиÑÐ¸Ñ Ð²Ð¸Ð½Ð¾Ð´ÐµÐ»Ð¸Ñ Ð¸ ÑÑавниÑелÑнÑй анализ
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «Ðиноделие ÐеÑмании: иÑÑоÑиÑ, клаÑÑиÑикаÑиÑ, ÑкономиÑеÑкое ÑазвиÑие». ЦелÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑабоÑÑ Ð±Ñло иÑÑледование ÑазвиÑÐ¸Ñ Ð²Ð¸Ð½Ð¾Ð´ÐµÐ»Ð¸Ñ Ð¸ ÑÑавниÑелÑнÑй анализ
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2022
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐлаÑÑиÑикаÑÐ¸Ñ ÑлекÑÑокаÑдиогÑамм Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑиÑÑовой обÑабоÑки Ñигнала и клаÑÑиÑикаÑоÑа маÑÐ¸Ð½Ñ Ð²ÐµÐºÑоÑной поддеÑжки».
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐлаÑÑиÑикаÑÐ¸Ñ ÑлекÑÑокаÑдиогÑамм Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑиÑÑовой обÑабоÑки Ñигнала и клаÑÑиÑикаÑоÑа маÑÐ¸Ð½Ñ Ð²ÐµÐºÑоÑной поддеÑжки».
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2023
The topic of the final qualifying work: "Detection and classification objects by optical images". This work is devoted to the development and application of machine learning methods for the detection and classification of dog breeds based on optical images.
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The topic of the final qualifying work: "Detection and classification objects by optical images". This work is devoted to the development and application of machine learning methods for the detection and classification of dog breeds based on optical images.
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2023
The theme of the graduate qualification work: «Method of malware classification system protection against adversarial attacks». The purpose of the study is to increase the resistance to adversarial attacks of a malicious software detection system that classifies the byte representation of executable files.
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The theme of the graduate qualification work: «Method of malware classification system protection against adversarial attacks». The purpose of the study is to increase the resistance to adversarial attacks of a malicious software detection system that classifies the byte representation of executable files.
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2022
Рданной ÑабоÑе бÑла ÑÑоÑмÑлиÑована задаÑа вÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð¸ клаÑÑиÑикаÑии деÑмаÑологиÑеÑÐºÐ¸Ñ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ð¹ по ÑоÑоÑнимкам Ñеловека. ÐÐ»Ñ ÑеÑÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÑавленной задаÑи бÑло пÑоизведено ее Ñазбиение нР...
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Рданной ÑабоÑе бÑла ÑÑоÑмÑлиÑована задаÑа вÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð¸ клаÑÑиÑикаÑии деÑмаÑологиÑеÑÐºÐ¸Ñ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ð¹ по ÑоÑоÑнимкам Ñеловека. ÐÐ»Ñ ÑеÑÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÑавленной задаÑи бÑло пÑоизведено ее Ñазбиение нР...
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