Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Temir Kalimulin"'
Publikováno v:
Сучасні інформаційні системи, Vol 3, Iss 1 (2019)
This paper contains formal problem definition of predicting unfavorable airborne events during flight. Restrictions and assumptions are put into the prognosis method of unfavorable airborne events during flight. Mathematical apparatus used to build p
Externí odkaz:
https://doaj.org/article/61eca6766f36415b9f983132bbd75451
Publikováno v:
Сучасні інформаційні системи, Vol 2, Iss 3 (2018)
Significance. A human-operator cannot conduct a situation assessment in a timely manner and to react in a proper manner when situation changes. The problem is worsening with the uncertain procedure of selection of dispatchers for duty shifts in contr
Externí odkaz:
https://doaj.org/article/ea77aa4de7bb4e17bc01fe722fecf499
Autor:
Hennadii Khudov, Oleksandr Makoveichuk, Vladyslav Khudov, Volodymyr Maliuha, Anatolii Andriienko, Yevhen Tertyshnik, Viktor Pashchenko, Dmytro Parashchuk, Irina Khizhnyak, Temir Kalimulin
The object of this study is the process of segmentation of images acquired from space optoelectronic surveillance systems. The method to segment images from space optoelectronic surveillance systems based on the Sine-Cosine algorithm involves determi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49cf866dd724ed8dbc4477a091515571
https://zenodo.org/record/7384174
https://zenodo.org/record/7384174
Autor:
Igor Ruban, Hennadii Khudov, Oleksandr Makoveichuk, Igor Butko, Sergey Glukhov, Irina Khizhnyak, Nazar Shamrai, Temir Kalimulin
Publikováno v:
IoT Based Control Networks and Intelligent Systems ISBN: 9789811958441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c58b13de36385d8cc29e915ab19a332
https://doi.org/10.1007/978-981-19-5845-8_40
https://doi.org/10.1007/978-981-19-5845-8_40
Autor:
Igor Ruban, Hennadii Khudov, Oleksandr Makoveichuk, Vladyslav Khudov, Temir Kalimulin, Sergey Glukhov, Pavlo Arkushenko, Taras Kravets, Irina Khizhnyak, Nazar Shamrai
The object of this study is the process of segmentation of images from unmanned aerial vehicles. It was established that segmentation methods based on k-means and a genetic algorithm work qualitatively on images from space observation systems. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c7b228c5228f75dd9824db1828eef2e
https://zenodo.org/record/7081957
https://zenodo.org/record/7081957
Publikováno v:
Сучасні інформаційні системи, Vol 2, Iss 3 (2018)
A human-operator cannot conduct a situation assessment in a timely manner and to react in a proper manner when situation changes. The problem is worsening with the uncertain procedure of selection of dispatchers for duty shifts in control centers and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b50eef43e7b80110f3ce14e097e5c9b
https://doi.org/10.20998/2522-9052.2018.3.05
https://doi.org/10.20998/2522-9052.2018.3.05
This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2022), organized by St. Joseph's College of Engineering and Technology, Kottayam, Kerala, India, during July 1–2,