Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Dmytro Chumachenko"'
Autor:
Dmytro Chumachenko, Kseniia Bazilevych, Mykola Butkevych, Ievgen Meniailov, Yurii Parfeniuk, Ievgen Sidenko, Tetyana Chumachenko
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 3, Pp 6-26 (2024)
The spread of infectious diseases is significantly influenced by emergencies, particularly military conflicts, which disrupt healthcare systems and increase the risks of epidemics. The full-scale Russian invasion of Ukraine has exacerbated these chal
Externí odkaz:
https://doaj.org/article/02ffbfc63a1341de86969af49ef20b71
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 2, Pp 85-97 (2024)
In modern telecommunications and computer networks, efficient and reliable information collection is essential for effective decision-making and control task resolution. Current methods, such as periodic data transmission, event-driven data collectio
Externí odkaz:
https://doaj.org/article/b5a2564f76e64472b1ac8eacf957d733
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/96aef083739748eaaecef5eb642a589d
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 4, Pp 5-19 (2023)
In today’s interconnected digital landscape, the proliferation of fake news has become a significant challenge, with far-reaching implications for individuals, institutions, and societies. The rapid spread of misleading information undermines the c
Externí odkaz:
https://doaj.org/article/4ff23cde54d2482ab3d6f8f753cad0f9
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3079 (2024)
This study explores the application of neural networks for anomaly detection in time series data exhibiting fractal properties, with a particular focus on changes in the Hurst exponent. The objective is to investigate whether changes in fractal prope
Externí odkaz:
https://doaj.org/article/08ac78cad56c46049ed70271009ebaa0
Publikováno v:
Computation, Vol 12, Iss 9, p 186 (2024)
This study proposes and theoretically substantiates a unique mathematical model for predicting the spread of infectious diseases using the example of COVID-19. The model is described by a special system of autonomous differential equations, which has
Externí odkaz:
https://doaj.org/article/d841680277fb4f80be9a6edd0dc52d06
Autor:
Kseniia Bazilevych, Olena Kyrylenko, Yurii Parfenyuk, Serhii Krivtsov, Ievgen Meniailov, Victoriya Kuznietcova, Dmytro Chumachenko
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 3, Pp 5-17 (2023)
The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, emphasizing the need for predictive tools for resource allocation and patient care. This study delves into the potential of machine learning models to predict the
Externí odkaz:
https://doaj.org/article/d2001694505449bfaebd8eaaca3339e0
Autor:
Plinio P. Morita, Matheus Lotto, Jasleen Kaur, Dmytro Chumachenko, Arlene Oetomo, Kristopher Dylan Espiritu, Irfhana Zakir Hussain
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
Artificial intelligence (AI) chatbots have the potential to revolutionize online health information-seeking behavior by delivering up-to-date information on a wide range of health topics. They generate personalized responses to user queries through t
Externí odkaz:
https://doaj.org/article/c4491f8e13e74d76bc24eda89da10aed
Autor:
Michele Salvagno, Alessandro De Cassai, Stefano Zorzi, Mario Zaccarelli, Marco Pasetto, Elda Diletta Sterchele, Dmytro Chumachenko, Alberto Giovanni Gerli, Razvan Azamfirei, Fabio Silvio Taccone
Publikováno v:
PLoS ONE, Vol 19, Iss 8 (2024)
Externí odkaz:
https://doaj.org/article/2c58d18b92e94847924a7fd136051ab2
Publikováno v:
Frontiers in Big Data, Vol 6 (2024)
The rapid dissemination of information has been accompanied by the proliferation of fake news, posing significant challenges in discerning authentic news from fabricated narratives. This study addresses the urgent need for effective fake news detecti
Externí odkaz:
https://doaj.org/article/772dad495f5e4f87a6eb9d42909e2c9d