Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Vladyslav Yaloveha"'
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 2, Pp 107-118 (2023)
Multispectral images acquired by satellites have been used in many fields such as agriculture, urban change detection, finding fire-hazardous forest areas, and real-time surface monitoring. The central issue in remote sensing analysis is land use and
Externí odkaz:
https://doaj.org/article/d4d5802305aa47afa9b2662caaeacc63
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 1, Pp 115-128 (2022)
In recent times, machine learning algorithms have shown great performance in solving problems in different fields of study, including the analysis of remote sensing images, computer vision, natural language processing, medical issues, etc. A well-pre
Externí odkaz:
https://doaj.org/article/2d3f93dfc2c3442c87d9297271343365
Publikováno v:
Journal of Information and Organizational Sciences, Vol 45, Iss 2, Pp 435-449 (2021)
Deep learning approaches are applied for a wide variety of problems, they are being used in the remote sensing field of study and showed high performance. Recent studies have demonstrated the efficiency of using spectral indexes in classification pro
Externí odkaz:
https://doaj.org/article/359d9226ae70478fbc09073d13f7541f
Publikováno v:
Сучасні інформаційні системи, Vol 4, Iss 2 (2020)
The purpose of the research is to compare classification algorithms for the histopathological images analyzing issue and to optimize the parameters for obtaining better classification accuracy. The following tasks are solved in the article: preproces
Externí odkaz:
https://doaj.org/article/8997c886136d4d50b7d0cbb51a12c7b0
Publikováno v:
Сучасні інформаційні системи, Vol 3, Iss 4 (2019)
Among all types of cancer, breast cancer is the most common. In 2017 breast cancer was the fourth rate for death reasons in Ukraine. The paper is devoted to the automatization of histopathological analysis, which can improve the process of cancer sta
Externí odkaz:
https://doaj.org/article/7372867615664df8805e2da3af316eae
Publikováno v:
Сучасні інформаційні системи, Vol 3, Iss 1 (2019)
Neural networks are intensively developed and used in all spheres of human activity in the modern world. Their use to determine the fire hazardous forest areas can begin to solve the problem of preventing wildfires. In recent years, wildfires have ac
Externí odkaz:
https://doaj.org/article/8e017cb85761487abca868e207e1e43d
Publikováno v:
Сучасні інформаційні системи, Vol 4, Iss 2 (2020)
The purpose of the research is to compare classification algorithms for the histopathological images analyzing issue and to optimize the parameters for obtaining better classification accuracy. The following tasks are solved in the article: preproces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96bb01d28974fee9695ea44c59411d81
https://doi.org/10.20998/2522-9052.2020.2.03
https://doi.org/10.20998/2522-9052.2020.2.03
Publikováno v:
2021 IEEE 3rd Ukraine Conference on Electrical and Computer Engineering (UKRCON).
Deep learning approaches are widely used in the processing of medical images, including histopathological images for cancer diagnosis. Therefore, the scientific and practical problem of automation of biopsy image analysis using convolutional neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d38f9fe9b714623aab264b5b305301b6
https://doi.org/10.1109/ukrcon53503.2021.9575305
https://doi.org/10.1109/ukrcon53503.2021.9575305
This chapter uses deep learning neural networks for processing of aerospace system multispectral images. Convolutional and Capsule Neural Network were used for processing multispectral images from satellite Landsat 8, previously processed using spect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12ed40075b6550713ee553d0c317b6bd
https://doi.org/10.4018/978-1-7998-1415-3.ch005
https://doi.org/10.4018/978-1-7998-1415-3.ch005
Autor:
Daria Hlavcheva, Vladyslav Yaloveha
Publikováno v:
Системи управління, навігації та зв’язку. Збірник наукових праць. 5:132-135
The subject of study is the history of the formation and development of the theory of neural networks, modern approaches to the problems of recognition and classification of images. Particular attention is paid to the qualitative review of capsular a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60363d8b276b7558a73e2255439b56b7
https://doi.org/10.26906/sunz.2018.5.132
https://doi.org/10.26906/sunz.2018.5.132