Vol. 5 No. 2 (131) (2024): Information technology. Industry control systems

Published: 2024-10-31

Full Issue

Information technology

Removing cloudiness on optical space images by a generative adversarial network model using SAR images

Mykola Romanchuk, Andrii Zavada, Olena Naumchak, Leonid Naumchak, Iryna Kosheva

6-12
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Development of data-efficient training techniques for detection and segmentation models in atrial septum defect analysis

Sabina Rakhmetulayeva, Baubek Ukibassov, Zhandos Zhanabekov, Aigerim Bolshibayeva

13-23
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Comparison of deep learning-based models for detection of diseased trees using an image compression algorithm

Assiya Sarinova, Leila Rzayeva, Gulnara Abitova, Alimzhan Yessenov, Ansar Sansyzbayev, Yerassyl Omirtay

24-35
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Ontology modeling for automation of questionnaire data processing

Kainizhamal Iklassova, Aliya Aitymova, Oxana Kopnova, Anna Shaporeva, Gulmira Abildinova, Zhanat Nurbekova, Leila Almagambetova, Alexey Gorokhov, Zhanat Aitymov

36-52
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Improving information theory of context-aware phrase embeddings in HR domain

Maiia Bocharova, Eugene Malakhov

53-60
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Industry control systems

Organizing the automated system of dispatch control over pump units at water pumping stations

Leonid Zamikhovskyi, Mykola Nykolaychuk, Ivan Levytskyi

61-75
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Developing a neural network model to predict the optimal minimum flow rate for effective hole cleaning

Dinara Delikesheva, Erbol Essembayev, Aizada Sharauova, Jamilyam Ismailova, Nurlan Zaripov

76-89
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Design of the predictive management and control system for combined propulsion complex

Vitalii Budashko, Albert Sandler, Sergii Khniunin, Valentyn Bogach

90-102
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Development of mathematical modeling of a mobile robot's motion control system

Zhanibek Issabekov, Aldabergen Bektilevov, Vinera Baiturganova, Makhabbat Zhamuratova, Perizat Rakhmetova

103-111
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