Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Dina Satybaldina"'
Publikováno v:
Sensors, Vol 24, Iss 16, p 5239 (2024)
This paper presents the methodology and outcomes of creating the Rail Vista dataset, designed for detecting defects on railway tracks using machine and deep learning techniques. The dataset comprises 200,000 high-resolution images categorized into 19
Externí odkaz:
https://doaj.org/article/aeda1fd6906e4ea3838161d1dab9bf03
Autor:
Vyacheslav Petrenko, Fariza Tebueva, Vladimir Antonov, Sergey Ryabtsev, Artur Sakolchik, Dina Satybaldina
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 3, Pp 283-291 (2023)
The purpose of this article is to evaluate the performance of the developed iterative method for distributing tasks in a swarm of UAVs in a clustered target field. This article presents an iterative method for distributing tasks among agents of a swa
Externí odkaz:
https://doaj.org/article/c2b86861d92c41869c465802baff43cf
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 2742 (2024)
Electronic voting, based on cryptographic protocols and blockchain technology, represents an advanced method for ensuring the security, transparency, and reliability of electoral processes. The scientific research presented in this article is devoted
Externí odkaz:
https://doaj.org/article/d4d84ade8e064e99a9dcb1cf51be4715
Publikováno v:
MATEC Web of Conferences, Vol 125, p 05009 (2017)
In the paper we propose a new coding/decoding on the divergence principle. A new divergent multithreshold decoder (MTD) for convolutional self-orthogonal codes contains two threshold elements. The second threshold element decodes the code with the co
Externí odkaz:
https://doaj.org/article/aade9eed52f3479db498f542d78d0984
Publikováno v:
Trudy Universiteta. :333-337
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0e68d7047d7078f1f04fd414ef3e142
https://doi.org/10.52209/1609-1825_2022_1_333
https://doi.org/10.52209/1609-1825_2022_1_333
Autor:
Nurlan N. Tashatov, Manara A. Seksembayeva, Gennady V. Ovechkin, Dina Satybaldina, Yerzhan N. Seitkulov
In the study of measures to improve channel efficiency, we developed and presented a performance analysis of a digital communication system for image transmission in a multipath channel with fading, in the MATLAB/Simulink environment, one of the main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d185404d8e89bf204662ca45cb97ce33
https://zenodo.org/record/7188687
https://zenodo.org/record/7188687
Autor:
Dina Satybaldina, Aliya Issainova
Publikováno v:
Trudy Universiteta. :174-178
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f44b3e5dbc23d35ba3bf089f25b66ae
https://doi.org/10.52209/1609-1825_2021_2_174
https://doi.org/10.52209/1609-1825_2021_2_174
Autor:
Gulden B. Ulyukova, Banu B. Yergaliyeva, Seilkhan Boranbayev, Yerzhan Seitkulov, Dina Satybaldina
We study new methods of secure cloud processing of big data when solving applied computationally-complex problems with secret parameters. This is one of the topical issues of secure client-server communication. As part of our research work, we model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0280c373c309435f486a19b2d2d30d3a
https://zenodo.org/record/7094823
https://zenodo.org/record/7094823
Publikováno v:
TELKOMNIKA (Telecommunication Computing Electronics and Control). 20:366
In this work we study some methods of storing data in the cloud for a given time using secret sharing technology. Such problems are especially relevant in the context of the rapid development of the internet of things (IoT). Chips, smart cards and ot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06af1c7c89eb37e3284bffff7e48dc66
https://doi.org/10.12928/telkomnika.v20i2.21887
https://doi.org/10.12928/telkomnika.v20i2.21887
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030576714
DB&IS
DB&IS
The aim of the work is to develop an application for hand gestures identification based on a convolutional neural network using the TensorFlow & Keras deep learning frameworks. The gesture recognition system consists of a gesture presentation, a gest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e2c8dcbafedfd3cb6f68e164d5d86b3
https://doi.org/10.1007/978-3-030-57672-1_5
https://doi.org/10.1007/978-3-030-57672-1_5