Results 131 to 140 of about 63,493 (144)
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2021
This work presents an example of using the deep learning techniques for the traffic sign detection and recognition with the help of the Mask R-CNN method. The first part of the research considered the current state of the problem of object detection and recognition (especially, traffic signs) and the possibility of using deep learning methods for this ...
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This work presents an example of using the deep learning techniques for the traffic sign detection and recognition with the help of the Mask R-CNN method. The first part of the research considered the current state of the problem of object detection and recognition (especially, traffic signs) and the possibility of using deep learning methods for this ...
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2023
Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐбнаÑÑжение SQL инÑекÑий на оÑнове анализа взаимодейÑÑÐ²Ð¸Ñ Ð²ÐµÐ±-пÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ñ ÑеÑвеÑом СУÐл. ЦелÑÑ ÑабоÑÑ ÑвлÑеÑÑÑ Ð¿Ð¾Ð²ÑÑение ÑоÑноÑÑи обнаÑÑÐ¶ÐµÐ½Ð¸Ñ SQL-Ð¸Ð½Ñ ...
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Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ: «ÐбнаÑÑжение SQL инÑекÑий на оÑнове анализа взаимодейÑÑÐ²Ð¸Ñ Ð²ÐµÐ±-пÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ñ ÑеÑвеÑом СУÐл. ЦелÑÑ ÑабоÑÑ ÑвлÑеÑÑÑ Ð¿Ð¾Ð²ÑÑение ÑоÑноÑÑи обнаÑÑÐ¶ÐµÐ½Ð¸Ñ SQL-Ð¸Ð½Ñ ...
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2022
The topic of the final qualification work: "Detection of fraud with mobile advertising based on analysis of the work of Android applications."The purpose of the work is to increase the accuracy of detecting fraud with mobile advertising in Android applications. Research subject is methods of detecting advertising fraud in Android applications.
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The topic of the final qualification work: "Detection of fraud with mobile advertising based on analysis of the work of Android applications."The purpose of the work is to increase the accuracy of detecting fraud with mobile advertising in Android applications. Research subject is methods of detecting advertising fraud in Android applications.
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2019
This paper presents an approach to detecting network anomalies using autoen-coders. It provides an overview of the features of classical artificial neural networks and deep learning neural networks. The analysis of autoencoder architecture has been made and models of autoencoder have been built.
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This paper presents an approach to detecting network anomalies using autoen-coders. It provides an overview of the features of classical artificial neural networks and deep learning neural networks. The analysis of autoencoder architecture has been made and models of autoencoder have been built.
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ЦелÑÑ ÑабоÑÑ ÑвлÑеÑÑÑ Ð¾Ð±Ð½Ð°ÑÑжение и клаÑÑиÑикаÑÐ¸Ñ ÑеÑевÑÑ
аÑак Ñ Ð¸ÑполÑзованием BiLSTM нейÑоннÑÑ
ÑеÑей. ÐÑедмеÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑÑÑÑÑ Ð½ÐµÐ¹ÑоннÑе ÑеÑи BiLSTM Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð°Ñак на ÑÑÑÑойÑÑва ÐнÑ
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2019
The object of the study is the design of an online clothing store. The purpose of the final qualifying work is to develop a unique, responsive and selling design online clothing store using the design thinking methodology. Research has been carried out in the field of the design under development.
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The object of the study is the design of an online clothing store. The purpose of the final qualifying work is to develop a unique, responsive and selling design online clothing store using the design thinking methodology. Research has been carried out in the field of the design under development.
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2019
ÐбнаÑÑжение аномалÑной акÑивноÑÑи ÑвлÑеÑÑÑ Ñложной пÑоблемой в видеонаблÑдении в ÑелÑÑ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑноÑÑи и заÑиÑÑ ÑиÑÑемÑ. ÐÑ Ð¿ÑедÑÑавлÑем новÑй Ð¿Ð¾Ð´Ñ Ð¾Ð´ к обнаÑÑÐ¶ÐµÐ½Ð¸Ñ Ð°Ð½Ð¾Ð¼Ð°Ð»Ñной акÑивноÑÑи пÑи вР...
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ÐбнаÑÑжение аномалÑной акÑивноÑÑи ÑвлÑеÑÑÑ Ñложной пÑоблемой в видеонаблÑдении в ÑелÑÑ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑноÑÑи и заÑиÑÑ ÑиÑÑемÑ. ÐÑ Ð¿ÑедÑÑавлÑем новÑй Ð¿Ð¾Ð´Ñ Ð¾Ð´ к обнаÑÑÐ¶ÐµÐ½Ð¸Ñ Ð°Ð½Ð¾Ð¼Ð°Ð»Ñной акÑивноÑÑи пÑи вР...
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Тeмa вÑпÑÑкнoй квaлиÑикaÑиoннoй ÑaбoÑÑ: «OбнaÑÑжeниe нeÑaнкÑиoниÑoвaннÑÑ
измeнeний лoкaлÑнoй вÑÑиÑлиÑeлÑнoй ÑeÑи». ЦeлÑÑ Ð´aннoй вÑпÑÑкнoй квaлиÑикaÑиoннoй ÑaбoÑÑ ÑвлÑeÑÑÑ Ð¾Ð±Ð½Ð°ÑÑжение неÑанкÑиониÑованнÑÑ
иР...
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2020
The given work is devoted to determining the characteristics of extracellular metallopeptidases isolated from the surface of synaptosomes of birds' brains, as well as comparing these peptidases with NEMPs - enzymes isolated from the mammalâs brain.
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The given work is devoted to determining the characteristics of extracellular metallopeptidases isolated from the surface of synaptosomes of birds' brains, as well as comparing these peptidases with NEMPs - enzymes isolated from the mammalâs brain.
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ЦелÑÑ ÑабоÑÑ ÑвлÑеÑÑÑ Ð¾Ð±Ð½Ð°ÑÑжение оÑибок конÑигÑÑаÑии межÑеÑевÑÑ
ÑкÑанов меÑодом пÑовеÑки модели. ÐÑедмеÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ ÐºÐ¾ÑÑекÑноÑÑÑ ÐºÐ¾Ð½ÑигÑÑаÑии межÑеÑевого ÑкÑана и ее ÑооÑвеÑÑ
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