Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Khrystyna Zub"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 24, Iss 3, Pp 749-759 (2021)
The paper considers missing data management task in smart systems. The main strategies of missing data management in handling missing data are analyzed. A prediction method for probable recovery of partially missing or completely lost data based on t
Externí odkaz:
https://doaj.org/article/9bacee3d055146d4b69752e35d07b682
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 2, p 83 (2023)
In this paper, we investigate the methods used to evaluate the admission chances of higher education institutions’ (HEI) entrants as a crucial factor that directly influences the admission efficiency, quality of education results, and future studen
Externí odkaz:
https://doaj.org/article/aece5b3385fd4efba2362731db552f78
Publikováno v:
Sensors, Vol 20, Iss 9, p 2625 (2020)
The purpose of this paper is to improve the accuracy of solving prediction tasks of the missing IoT data recovery. To achieve this, the authors have developed a new ensemble of neural network tools. It consists of two successive General Regression Ne
Externí odkaz:
https://doaj.org/article/80b45ef9281a4816b2c44f69108c2ba9
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 24, Iss 3, Pp 749-759 (2021)
The paper considers missing data management task in smart systems. The main strategies of missing data management in handling missing data are analyzed. A prediction method for probable recovery of partially missing or completely lost data based on t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4e9f771c1c207323357de254a1cba10
http://www.sciencedirect.com/science/article/pii/S2215098620342348
http://www.sciencedirect.com/science/article/pii/S2215098620342348
Publikováno v:
ANT/EDI40
In recent years, machine-learning-based approaches have become of considerable interest to the efficient processing of short or limited data samples. Its so-called small data approach. This is due to the significant growth of new intellectual analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84be076dbf97184e26108e8c9d5d4750
https://doi.org/10.1016/j.procs.2021.03.075
https://doi.org/10.1016/j.procs.2021.03.075
Publikováno v:
ANT/EDI40
A small data approach is an important area of research in the medical field. Many tasks in this area require the development of such direction due to the high cost of obtaining dataset or the inability to obtain sufficient observations for the analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a285a8acb400861155daea3a5f4ce882
https://doi.org/10.1016/j.procs.2021.03.033
https://doi.org/10.1016/j.procs.2021.03.033
Publikováno v:
EUSPN/ICTH
A new extended-input General Regression Neural Network scheme is proposed. The main objective of such a step was to increase the accuracy of the regression tasks. Such an extension is based on using of the Ito decomposition. This scheme is more appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9649e98c949a5f6b222cd0e09717c2c9
https://doi.org/10.1016/j.procs.2019.11.044
https://doi.org/10.1016/j.procs.2019.11.044
Autor:
Khrystyna Zub, Taras Lisovych, Ivan Izonin, Natalia Kryvinska, Oleksandra Mishchuk, Roman Tkachenko
Publikováno v:
EUSPN/ICTH
The task of the recovery of incomplete IoT sensed data is considered. A high-performance extended-input neural network, which is constructed using a non-iterative neural-like structure and a Wiener polynomial for its solution, has been applied. Model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba941adb1733d5e0f24aa6b6518bca45
https://doi.org/10.1016/j.procs.2019.11.054
https://doi.org/10.1016/j.procs.2019.11.054
Publikováno v:
Procedia Computer Science. 155:11-18
Today, the fast development of the hardware for the Internet of things systems creates conditions for the development of IoT based Services of various purposes. The imperfect systems of collecting, aggregation and the transmission of large volumes of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6c57667f683b6130fdd091d764be323
https://doi.org/10.1016/j.procs.2019.08.006
https://doi.org/10.1016/j.procs.2019.08.006
Publikováno v:
Advances in Artificial Systems for Logistics Engineering ISBN: 9783030804749
A significant influence on the choice of both specialty and specific educational institution made by each entrant during the admission campaign is the assessment of the applicant’s chances of admission. One possible way to solve this task is to bui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6bb5a6099369906c10b5f506cf15a26
https://doi.org/10.1007/978-3-030-80475-6_17
https://doi.org/10.1007/978-3-030-80475-6_17
