Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Andrey Nechaevskiy"'
Autor:
Yuri Butenko, Dmitrii Marov, Andrey Nechaevskiy, Oksana Streltsova, Ilhom Rahmonov, Maxim Bashashin
Publikováno v:
Современные информационные технологии и IT-образование, Vol 16, Iss 3, Pp 633-642 (2020)
The article describes the development of a virtual research environment for solving the tasks of mathematical modeling of superconducting electronics and spintronics, which are intensively developing areas of condensed matter physics. Despite the amp
Externí odkaz:
https://doaj.org/article/3be0fa52ad984e5585af4a5bebad675c
Autor:
Maxim Igorevich Zuev, Yuri Butenko, Marko Ćosić, Andrey Nechaevskiy, Dmitry Podgainy, Ilhom Rahmonov, Aleksey Stadnik, Oksana Streltsova
Publikováno v:
Proceedings of The 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022).
Autor:
Liang-Liang Wang, Yao Zhang, Pavel Goncharov, Egor Shchavelev, Sheng-Sen Sun, Andrey Nechaevskiy, Olga Valarevna Bakina, Dmitry Aleksandrovich Baranov, Yury Nefedov, Gennady Ososkov, Aleksey Zhemchugov, Anastasiya Nikolaevna Nikolskaya, Igor Denisenko
Publikováno v:
Computer Research and Modeling. 12:1361-1381
Publikováno v:
Компьютерная оптика, Vol 45, Iss 4, Pp 608-614 (2021)
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
Publikováno v:
PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020).
We introduce the Plant Disease Detection Platform (PDDP) that allows users to send photos of sick plant leaves or textual descriptions of their appearance to obtain information about an infection that hit the vegetation and treatment tips. The backen
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
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
Publikováno v:
Компьютерные исследования и моделирование, Vol 9, Iss 6, Pp 955-963 (2017)
А new cloud center of parallel computing is to be created in the Laboratory of Information Technologies (LIT) of the Joint Institute for Nuclear Research JINR) what is expected to improve significantly the efficiency of numerical calculations and ex
Autor:
Nikita Balashov, Maxim Bashashin, Pavel Goncharov, Ruslan Kuchumov, Nikolay Kutovskiy, Kiril Kulikov, Mikhail Matveev, Andrey Nechaevskiy, Gennady Ososkov, Ilkhom Rahmonov, Rahmonov Ilkhom, Shukrinov Yuri, Sokolov Ivan, Streltsova Oksana, Zemlyanaya Elena
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
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research II ISBN: 9783030013271
Plant disease detection by using different machine learning techniques is very popular field of study. Many promising results were already obtained but it is still only few real life applications that can make farmer’s life easier. The aim of our r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2f929d3c2b7307cfec72630818d368b
https://doi.org/10.1007/978-3-030-01328-8_16
https://doi.org/10.1007/978-3-030-01328-8_16