Zobrazeno 1 - 10
of 5 989
pro vyhledávání: '"Sereda AS"'
Autor:
Sereda, Taras
In this work, we showcase a cost-effective method for generating training data for speech processing tasks. First, we transcribe unlabeled speech using a state-of-the-art Automatic Speech Recognition (ASR) model. Next, we align generated transcripts
Externí odkaz:
http://arxiv.org/abs/2406.12674
We extend our recently developed sparse-stochastic fragmented exchange formalism for ground-state hybrid DFT (ngH-DFT) to calculate absorption spectra within linear-response time-dependent Generalized Kohn-Sham DFT (LR-GKS-TDDFT), for systems consist
Externí odkaz:
http://arxiv.org/abs/2402.16217
Autor:
Trikalinos, Thomas A., Sereda, Yuliia
We introduce the `nhppp' package for simulating events from one-dimensional non-homogeneous Poisson point processes (NHPPPs) in R fast and with a small memory footprint. We developed it to facilitate the sampling of event times in discrete event and
Externí odkaz:
http://arxiv.org/abs/2402.00358
In recent years, speech generation has seen remarkable progress, now achieving one-shot generation capability that is often virtually indistinguishable from real human voice. Integrating such advancements in speech generation with large language mode
Externí odkaz:
http://arxiv.org/abs/2401.02839
Autor:
M. Gumprich, W. Zhang, J. Li, K. Salters, R. Barrios, P. Sereda, C. Stanley, R. Joe, D. Hall, V. Lima, G. Sincraian, A. Marante Changir, R. Parry, C. Fulton, T. Wesseling, J. Montaner, S. Parashar, David M. Moore
Publikováno v:
International Journal for Equity in Health, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract Introduction Access to and engagement with primary healthcare can be difficult for marginalized low-income populations residing in inner cities in high-income countries. We designed a study to examine retention in primary care among clients
Externí odkaz:
https://doaj.org/article/b14a3568312444d98f17573815b23f8e
Autor:
Sergey N. Kostarev, T. G. Sereda
Publikováno v:
Инфекция и иммунитет, Vol 14, Iss 4, Pp 731-739 (2024)
Relevance. A potential for zoonotic transmission of highly pathogenic coronavirus strains to humans was of little concern to health care providers, which came as a surprise and led to a coronavirus pandemic in 2020 spring. In 2023 fall, there was hig
Externí odkaz:
https://doaj.org/article/1985403d67df423c96b72cb888bb0c16
Publikováno v:
Travmatologiâ i Ortopediâ Rossii, Vol 30, Iss 2, Pp 181-191 (2024)
Background. In recent years, the topic of artificial intelligence (AI) in medicine has been actively discussed not just as a promising solution but the one that can help to improve some results. A significant growth of interest in AI systems all over
Externí odkaz:
https://doaj.org/article/12ee2252a3a34de38ede5944b9ca8d39
Enthalpies of formation of RCoO3-δ (R = La, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Y) perovskite cobaltites
Autor:
Sereda, Vladimir V., Tsvetkov, Dmitry S., Sereda, Anna V., Yagovitin, Roman E., Mazurin, Maxim O., Malyshkin, Dmitry A., Ivanov, Ivan L., Zuev, Andrey Yu.
Publikováno v:
In Journal of Alloys and Compounds 25 October 2024 1003
Autor:
Sereda, Vladimir V., Tsvetkov, Dmitry S., Sereda, Anna V., Malyshkin, Dmitry A., Ivanov, Ivan L., Zuev, Andrey Yu.
Publikováno v:
In Journal of Alloys and Compounds 5 January 2025 1010
Publikováno v:
Materials & Design, Vol 248, Iss , Pp 113499- (2024)
The production of high stiffness Ti-based Metal Matrix Composites (Ti-MMCs) displaying significant ductility is extremely challenging due to the high reinforcement content required. This study outlines the production process of stiffness-driven Ti-Ti
Externí odkaz:
https://doaj.org/article/b5865e90a08241a78f052b6c3280723c