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Просмотр 2020, Vol. 3, № 1 по названию

Просмотр 2020, Vol. 3, № 1 по названию

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  • Development of scientific-methodological approaches of machine learning application in biosignals processing 
    Khoma, Yuriy; Хома, Юрій Володимирович; Хома, Юрий Владимирович; Miroslaw Szmajda; Мірослав Шмайда; Мирослав Шмайда; Mariusz Pelc; Маріуш Пелц; Мариуш Пелц (Odessa National Polytechnic University, 2020-02-11)
    Current state and future perspectives of machine learning usage in the computer bioinformatics systems are analyzed in the article. It is shown that heterogeneousness of data and wide range of bioinformatics tasks influenced ...
  • Experimental research and computer modeling of the obstruction occurrence in the pneumatic conveying systems peculiarities 
    Nazarova, Olena; Назарова, Олена Сергіївна; Назарова, Елена Сергеевна; Meleshko, Irina; Мелешко, Ірина Анатоліївна; Мелешко, Ирина Анатольевна (Odessa National Polytechnic University, 2020-01-03)
    At designing new and modernizing existing pneumatic transport systems it is necessary to take into account changes in the electromechanical parameters of the equipment during start-up or other transient conditions that ...
  • Heuristic Models and Methods for Application of the Kohonen Neural Network in the Intellectual System of Medical-Sociological Monitoring 
    Arsirii, Olena; Арсірій, Олена Олександрівна; Арсирий, Елена Александровна; Manikaeva, Olga; Манікаєва, Ольга Сергіївна; Маникаева, Ольга Сергеевна; Nikolenko, Anatolii; Ніколенко, Анатолій Олександрович; Николенко, Анатолий Александрович; Babilunga, Oksana; Бабілунга, Оксана Юрьєвна; Бабилунга, Оксана Юрьевна (Odessa National Polytechnic University, 2020-01-31)
    For increasing the speed of making classification decisions, the possibilities of supervised deep neural networks training are used in systems of medical and sociological monitoring. But the data obtained during the ...
  • Implementation of arbitrary bitness permutations in one of the classes of linear structures 
    Teslenko, Oleksandr; Тесленко, Олександр Кирилович; Тесленко, Александр Кириллович; Bondarchuk, Maksym; Бондарчук, Максим Юрійович; Бондарчук, Максим Юрьевич (Odessa National Polytechnic University, 2020-01-31)
    Speed of transformation and simplicity of implementation are one of the key contributors in permutation researches. The paper reviews the implementation of arbitrary bitness permutation in the field of computer engineering ...
  • Improved algorithm for supervisory control and data acquisition of combined vessel’s energy system 
    Busher, Victor; Бушер, Віктор Володимирович; Бушер, Виктор Владимирович; Zakharchenkо, Vadim; Захарченко, Вадим Миколайович; Захарченко, Вадим Николаевич; Glazeva, Oksana; Глазева, Оксана Володимирівна; Глазева, Оксана Владимировна; Kamal Khandakji; Камаль Хандакжи (Odessa National Polytechnic University, 2019-12-23)
    Main development trends of modern ship power systems have been analyzed. The purpose of the paper is the analysis of energy modes and the development of criteria for transitions between different modes of an integrated ...
  • Ky fan norm application for video segmentation 
    Koliada, Myroslava; Коляда, Мирослава Олегівна; Коляда, Мирослава Олеговна (Odessa National Polytechnic University, 2020-01-22)
    This article presents results of applying the Ky Fan norm in the context of solving the problem of video segmentation. Since the task of video analysis can be considered as analysis of the sequence of images, it was decided ...
  • Non-stationary time series prediction using one-dimensional convolutional neural network models 
    Thi Khanh Tien Nguyen; Тхі Кхань Тієн Нгуєн; Тхи Кхань Тиен Нгуен; Antoshchuk, Svitlana; Антощук, Світлана Григорівна; Антощук, Светлана Григорьевна; Nikolenko, Anatoly; Ніколенко, Анатолій Олександрович; Николенко, Анатолий Александрович; Kim Thanh Tran; Кім Тхан Тран; Ким Тхан Тран; Babilunha, Oksana; Бабілунга, Оксана Юріївна; Бабилунга, Оксана Юрьевна (Odessa National Polytechnic University, 2019-11-30)
    The main goal of non-stationary time series prediction is the construction, identification, configuration and verification of their models. The efficiency of using machine learning technologies for the analysis of ...
  • Optimization of analysis and minimization of information losses in text mining 
    Mezentseva, Olha; Мезенцева, Ольга Олексіївна; Мезенцева, Ольга Алексеевна; Kolomiiets, Anna; Коломієць, Анна Степанівна; Коломиец, Анна Степановна (Odessa National Polytechnic University, 2020-02-02)
    Information is one of the most important resources of today's business environment. It is difficult for any company to succeed without having sufficient information about its customers, employees and other key stakeholders. ...
  • Segmentation of cloud organization patterns from satellite images using deep neural networks 
    Tymchenko, Borys; Тимченко, Борис Ігорович; Тимченко, Борис Игоревич; Marchenko, Philip; Марченко, Фiлiп Олександрович; Марченко, Филипп Александрович; Spodarets, Dmitry; Сподарець, Дмитро Володимирович; Сподарец, Дмитрий Владимирович (Odessa National Polytechnic University, 2020-01-29)
    Climate change is one of the most important challenges that humanity faces now. The essential part of climate models is the movement of clouds, which affects climate parameters dramatically. Shallow clouds play a huge ...