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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
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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2021
The given work is devoted to investigation of LSTM classifierâs robustness to adversarial attacks. The goal of the work is ensuring network security through enhancement of LSTM classifierâs robustness to adversarial attacks. In this diploma, adversarial attacks on machine learning models with their classification were studied.
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The given work is devoted to investigation of LSTM classifierâs robustness to adversarial attacks. The goal of the work is ensuring network security through enhancement of LSTM classifierâs robustness to adversarial attacks. In this diploma, adversarial attacks on machine learning models with their classification were studied.
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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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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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2021
In this work, the Brain-Computer interface system (BCI) is im-plemented, which is able to determine in real time the evoked potential of P300, which occurs in the brain when a person ex-pects to see a given image and sees it. The analysis of the exist-ing methods of classification of these signals is carried out.
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In this work, the Brain-Computer interface system (BCI) is im-plemented, which is able to determine in real time the evoked potential of P300, which occurs in the brain when a person ex-pects to see a given image and sees it. The analysis of the exist-ing methods of classification of these signals is carried out.
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