Zobrazeno 1 - 10
of 54
pro vyhledávání: '"VITALIY YAKOVYNA"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Though COVID-19 is no longer a pandemic but rather an endemic, the epidemiological situation related to the SARS-CoV-2 virus is developing at an alarming rate, impacting every corner of the world. The rapid escalation of the coronavirus has
Externí odkaz:
https://doaj.org/article/c76216961adf4929a5287686f4f978bc
Autor:
Nataliya Shakhovska, Vitaliy Yakovyna, Maksym Mysak, Stergios-Aristoteles Mitoulis, Sotirios Argyroudis, Yuriy Syerov
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 10, p 136 (2024)
This paper presents a novel multi-initialization model for recognizing road surface damage, e.g. potholes and cracks, on video using convolutional neural networks (CNNs) in real-time for fast damage recognition. The model is trained by the latest Roa
Externí odkaz:
https://doaj.org/article/35b622a3580e4e3a8bd3837ae99afb5e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/aaa4ef40dde84887ab60088b02e4fe96
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 6102-6123 (2022)
Starting from December 2019, the COVID-19 pandemic has globally strained medical resources and caused significant mortality. It is commonly recognized that the severity of SARS-CoV-2 disease depends on both the comorbidity and the state of the patien
Externí odkaz:
https://doaj.org/article/99284216292b4fd193a4c1ccdbfe7667
Publikováno v:
Drones, Vol 7, Iss 7, p 463 (2023)
This study investigates the use of generative adversarial network (GAN)-based data augmentation to enhance data discretization for smoother drone input. The goal is to improve unmanned aerial vehicles’ (UAVs) performance and maneuverability by inco
Externí odkaz:
https://doaj.org/article/bebfd41b9c124f8ca472183f7c506970
Autor:
Vitaliy Yakovyna, Natalya Shakhovska
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 3, Pp 2789-2812 (2021)
This paper is an extended and supplemented version of the paper "Recommendation Rules Mining for Reducing the Spread of COVID-19 Cases", presented by the authors at the 3rd International Conference on Informatics & Data-Driven Medicine in November 20
Externí odkaz:
https://doaj.org/article/8105700a611641c8893a5c3caeaee066
Autor:
ANDRII POPOVYCH, VITALIY YAKOVYNA
Publikováno v:
Computer systems and information technologies. :104-111
The paper reports the use of machine learning methods for COVID-19 mortality prediction. An open dataset with large number of features and records was used for research. The goal of the research is to create the efficient model for mortality predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c420033e396cc2affe562d1e5473e53f
https://doi.org/10.31891/csit-2022-2-12
https://doi.org/10.31891/csit-2022-2-12
Autor:
VITALIY YAKOVYNA, BOHDAN UHRYNOVSKYI
Publikováno v:
Computer systems and information technologies. :116-124
A complex model based on Continuous-Time Markov Chains is proposed, which combines an extended aging and rejuvenation model taking into account different aging levels and a model of mobile device usage activity. A graph of states and transitions is c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b46de9ce0f407b258f8d280cf9a03c9
https://doi.org/10.31891/csit-2021-5-16
https://doi.org/10.31891/csit-2021-5-16
Autor:
Vitaliy Yakovyna, Natalya Shakhovska
Publikováno v:
Procedia Computer Science. 207:837-847
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92561b4cc66e4b2b2f325b07868abb33
https://doi.org/10.1016/j.procs.2022.09.139
https://doi.org/10.1016/j.procs.2022.09.139
Autor:
Bohdan Uhrynovskyi, Vitaliy Yakovyna
Publikováno v:
Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì. 9:32-43
Mobile systems and devices including Android are vulnerable to the effects of software aging which are manifested in performance degradation during long run-time. It is important to identify efficient system and user interface metrics for detecting a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6afee478ebaf2c4d212db407ccd0726
https://doi.org/10.23939/sisn2021.09.032
https://doi.org/10.23939/sisn2021.09.032