Publication:
Development of Technology for Creating High-Quality Abstracts

Дата
2021
Авторы
Golubev, K.
Afonichkina, P. Y.
Journal Title
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Volume Title
Издатель
Научные группы
Организационные подразделения
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Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2021 IEEE.This paper focuses on creating high-quality notes. It is based on a modified version of the LeNet5 model, which allows to recognize individual characters, with the function of loading your own datasets, which can improve the accuracy of recognition, due to the characteristics of each handwriting. A neural network containing recurrent, convolutional, and fully connected layers was used to define words. To select a single word, the CTPN machine learning model was used. During the research, it was found that this solution for recognizing handwritten text is the most optimal for the task at hand. Also, an equally important part is to define the characteristic objects of the notes, such as headings, definitions, and formulas. The solution to this problem also used machine-learning algorithms. At the final stage, the main methods for working with file graphics were used to create the visual component of the note.
Описание
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Цитирование
Golubev, K. Development of Technology for Creating High-Quality Abstracts / Golubev, K., Afonichkina, P.Y. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 373-376. - 10.1109/ElConRus51938.2021.9396666
URI
https://www.doi.org/10.1109/ElConRus51938.2021.9396666
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85104738397&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800085
 https://openrepository.mephi.ru/handle/123456789/24006
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