Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Oleg Khomenko"'
Autor:
Ksenia Ershova, Ivan Savin, Oleg Khomenko, Darren Wong, Gleb Danilov, Michael Shifrin, Ekaterina Sokolova, Vikas N O'Reilly-Shah, Abhijit V. Lele, Olga Ershova
Publikováno v:
Journal of Clinical Neuroscience. 97:32-41
The incidence of healthcare-associated respiratory tract infections in non-ventilated patients (NVA-HARTI) in neurosurgical intensive care units (ICUs) is unknown. The impact of NVA-HARTI on patient outcomes and differences between NVA-HARTI and vent
Autor:
Michael A. Shifrin, Abhijit V. Lele, Darren Wong, Oleg Khomenko, Gleb Danilov, Ksenia Ershova, O.N. Ershova, Vikas N O'Reilly-Shah, Ivan A. Savin, Ekaterina Sokolova
Background. The incidence of healthcare-associated respiratory tract infections in non-ventilated patients (NVA-HARTI) in neurosurgical intensive care units (ICU) is unknown. The impact of NVA-HARTI on patient outcomes and differences between NVA-HAR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884e98780da1ede172ec255709d49136
https://doi.org/10.21203/rs.3.rs-719352/v1
https://doi.org/10.21203/rs.3.rs-719352/v1
Autor:
Ksenia Ershova, O.N. Ershova, Gleb Danilov, Michael A. Shifrin, Natalia V. Kurdumova, Ivan A. Savin, Oleg Khomenko
Publikováno v:
Infection Control & Hospital Epidemiology. 41:s407-s409
Background: Ventilator-associated pneumonia (VAP) represents the highest burden among all healthcare-associated infections (HAIs), with a particularly high rate in patients in neurosurgical ICUs. Numerous VAP risk factors have been identified to prov
Publikováno v:
TECHNICAL SCIENCES AND TECHNOLOGIES. :188-196
Актуальність теми дослідження. Ця тема є актуальною у зв’язку зі зростаючим попитом та інтересом до бездротових зарядних пристроїв з б
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
We build a new model of landscape videos that can be trained on a mixture of static landscape images as well as landscape animations. Our architecture extends StyleGAN model by augmenting it with parts that allow to model dynamic changes in a scene.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c6f00da24bbdadaaf2ed40ec162266e
https://doi.org/10.1007/978-3-030-58592-1_16
https://doi.org/10.1007/978-3-030-58592-1_16
Publikováno v:
Технічні науки та технології; № 4(10) (2017): Технічні науки та технології; 147-153
Technical sciences and technology; No. 4(10) (2017): TECHNICAL SCIENCES AND TECHNOLOGIES; 147-153
Технические науки и технологии; № 4(10) (2017): Технічні науки та технології; 147-153
Technical sciences and technology; No. 4(10) (2017): TECHNICAL SCIENCES AND TECHNOLOGIES; 147-153
Технические науки и технологии; № 4(10) (2017): Технічні науки та технології; 147-153
Urgency of the research. Energy storage technologies are heavily related to electric vehicles. The fast charging station together with the wireless power station potentially makes the electric vehicle more attractive and user-friendly.Target setting.
Autor:
Roman Suvorov, Elizaveta Logacheva, Oleg Khomenko, Sergey I. Nikolenko, Vladimir Aliev, Pavel Ostyakov, Gleb Sterkin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110178
ECCV Workshops (4)
ECCV Workshops (4)
Despite recent advances in computer vision based on various convolutional architectures, video understanding remains an important challenge. In this work, we present and discuss a top solution for the large-scale video classification (labeling) probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cce0802bd39418c1000ceb10a2aeb984
https://doi.org/10.1007/978-3-030-11018-5_23
https://doi.org/10.1007/978-3-030-11018-5_23
Autor:
Ksenia Ershova, Olga Ershova, Oleg Khomenko, Ivan Savin, Nataliya Kurdyumova, Gleb Danilov, Michail Shifrin, Vladimir Zelman
Poster #404 at SHEA 2018.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0809227eaf486b08a188e5fd1a5fe95b
Autor:
Vladimir Zelman, Ksenia Ershova, O.N. Ershova, Oleg Khomenko, Gleb Danilov, Michael A. Shifrin, Ivan A. Savin, N V Kurdyumova
Publikováno v:
Journal of critical care. 45
Purpose To define the incidence of healthcare-associated ventriculitis and meningitis (HAVM) in the neuro-ICU and to identify HAVM risk factors using tree-based machine learning (ML) algorithms. Methods An observational cohort study was conducted in