Перегляд за Автор "Komleva, N. O."

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  • Документ
    Google sheets as an alternative way to organize storage of relational databases
    (2020) Komleva, N. O.; Voroniuk, D. S.
    The document considers tasks related to creating an alternative organization for storing relational databases using google sheets. The document contains a short plan for the development of a similar storage organization, features,system design recommendations and a comparative analysis with existing solutions.
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    Handwritten signature authentication program using a neural network
    (2020) Komleva, N. O.; Nevzorov, V. D.
    The aim of the work is to improve the quality of handwritten signature recognition by adapting the recognition method to the end user using a neural network. Methods of digital image processing, analytical and computational geometry are used to identify features of signature creation. Development methods are based on java, javafx, c ++ technologies using fann and jni, xml. As a result, a mobile software has been developed that allows recognizing the authorship of a handwritten signature.
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    Program for collection and analysis of students 'responses on the quality of the educational process using statistical methods of data processing
    (2020) Komleva, N. O.; Parshin, I. A.
    The document considers a system for collecting and analyzing student feedback on the quality of the learning process using statistical data processing methods. The document contains an overview of the problem of conducting a survey in higher education institutions, the solution of which is the developed system, a brief description of the features of this system and its functioning, as well as a comparison with existing solutions.
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    Quality attributes of formal grammars and languages in translator engineering
    (2019) Komleva, N. O.; Popov, S. S.
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    Recognition of music notes using machine learning methods
    (2020) Stinskiy, V. V.; Komleva, N. O.
    Consider problems using neural networks rozpiznvannya for training and no musical music literacy .pokazano advantages programs written in machine learning algorithms in recognition of the notes. The structure of neural networks and algorithm of its creation are described.
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    Software analyzer for spam filtering in comments on Facebook posts
    (2020) Komleva, N. O.; Stanislavyk, Y. H.
    The purpose of the work is to increase the amount of useful information contained in facebook comments, through the development and software implementation of appropriate information technology that classifies and further removes spam from comments. Development technologies include the facebook api as a data source, the c ++ programming language that works with the system interface, the python programming language that makes requests to the facebook api, the sklearn library that helps classify spam, and the qt framework used. To develop a system interface. As a result of work the software implementation of system which gives the chance to delete not useful comments by means of spam classification is executed.
  • Документ
    Web service for automated building of the semantic core of a site
    (2019) Komleva, N. O.; Hekht, H. I.