Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Nechaevskiy, Andrey"'
Autor:
Uzhinskiy, Alexander, Ososkov, Gennady, Goncharov, Pavel, Nechaevskiy, Andrey, Smetanin, Artem
Triplet loss function is one of the options that can significantly improve the accuracy of the One-shot Learning tasks. Starting from 2015, many projects use Siamese networks and this kind of loss for face recognition and object classification. In ou
Externí odkaz:
http://arxiv.org/abs/2012.07403
Publikováno v:
In Procedia Computer Science 2016 101:351-358
Autor:
Korenkov, Vladimir, Nechaevskiy, Andrey, Ososkov, Gennadiy, Potrebenikov, Yuri, Pryahina, Darya, Trofimov, Vladimir, Uzhinskiy, Alexander
Publikováno v:
In Procedia Computer Science 2016 101:333-340
Publikováno v:
EPJ Web of Conferences, Vol 226, p 03010 (2020)
Crop losses are a major threat to the wellbeing of rural families, to the economy and governments, and to food security worldwide. The goal of our research is to develop a multi-functional platform to help the farming community to tilt against plant
Externí odkaz:
https://doaj.org/article/b6294d2f84f44e87a2c3fccec4e2a2f5
Publikováno v:
EPJ Web of Conferences, Vol 226, p 03012 (2020)
The simulation of a data center for the storage and processing of data from the NICA detectors is an important step towards the creation of the NICA computing system. A model developed in the frame of the probabilistic approach to the solution enable
Externí odkaz:
https://doaj.org/article/7ccba052c8824f3d922c160c6ce3fa43
Autor:
Nechaevskiy, Andrey1 nechav@jinr.ru, Ososkov, Gennady1 nechav@jinr.ru, Pryahina, Darya1, Trofimov, Vladimir1, Li, Weidong2, Forti, A., Betev, L., Litmaath, M., Smirnova, O., Hristov, P.
Publikováno v:
EPJ Web of Conferences. 9/17/2019, Vol. 214, p1-6. 6p.
Autor:
Balashov Nikita, Baranov Alexander, Belov Sergey, Kadochnikov Ivan, Korenkov Vladimir, Kutovskiy Nikolay, Nechaevskiy Andrey, Pelevanyuk Igor
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07011 (2019)
The complexity of modern software libraries and applications makes it hard to predict possible workloads generated by the software that may lead to significant underutilization of hardware in Infrastructure-as-a-Service (IaaS) clouds. In this paper,
Externí odkaz:
https://doaj.org/article/f7e2ca2a24a54bb6bdeeb67717ae5e18
Autor:
Balashov Nikita, Bashashin Maxim, Goncharov Pavel, Kuchumov Ruslan, Kutovskiy Nikolay, Kulikov Kiril, Matveev Mikhail, Nechaevskiy Andrey, Ososkov Gennady, Rahmonov Ilkhom, Ilkhom Rahmonov, Yuri Shukrinov, Ivan Sokolov, Oksana Streltsova, Elena Zemlyanaya
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07012 (2019)
Cloud computing has become a routine tool for scientists in many fields. The JINR cloud infrastructure provides JINR users with computational resources to perform various scientific calculations. In order to speed up achievements of scientific result
Externí odkaz:
https://doaj.org/article/d1f2c5ace35146d2afc971e400aa2a35
Autor:
Butenko, Yuri A., Ćosić, Marko, Nechaevskiy, Andrey V., Podgainy, Dmitriy V., Rahmonov, Ilhom R., Stadnik, Alexey V., Streltsova, Oksana I., Zuev, Maxim I.
Publikováno v:
Proceedings of Science
The work presents the possibilities for using the ML/DL/HPC ecosystem deployed on the HybriLIT Heterogeneous Platform (Meshcheryakov Laboratory of Information Technologies JINR) on top of JupyterHub, which provides opportunities for solving tasks not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4175::773870ec87818207de2f473e06fc87db
https://vinar.vin.bg.ac.rs/handle/123456789/10564
https://vinar.vin.bg.ac.rs/handle/123456789/10564
Autor:
Smetanin, Artem, Uzhinskiy, Alexander, Ososkov, Gennady, Goncharov, Pavel, Nechaevskiy, Andrey
Publikováno v:
AIP Conference Proceedings; 2021, Vol. 2377 Issue 1, p1-5, 5p