Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Nurlan TASHATOV"'
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
Autor:
Ablaikhan Kadyrov, Altay Ussenbayev, Dariyash Kurenkeyeva, Berdaly Kurenkey, Sarsenbay Abdrakhmanov, Nurlan Tashatov
The paper is the first to use principal component analysis (PCA) in veterinary epidemiology and aims to identify the most significant agents of diarrhoea in calves. Data were collected from 245 calves on 32 farms within 13 districts of Northern Kazak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66a965f083adfcdf1d9803e4327f602d
https://zenodo.org/record/8012990
https://zenodo.org/record/8012990
Publikováno v:
Trudy Universiteta. :333-337
Autor:
Gaukhar Alina, Nurlan Tashatov, Galina Tatkeyeva, Madi Bauyrzhanuly, Dinara Kaibassova, Margulan Nurtay
Publikováno v:
Eastern-European Journal of Enterprise Technologies; Vol. 6 No. 9 (120) (2022): Information and controlling system; 80-88
Eastern-European Journal of Enterprise Technologies; Том 6 № 9 (120) (2022): Інформаційно-керуючі системи; 80-88
Eastern-European Journal of Enterprise Technologies; Том 6 № 9 (120) (2022): Інформаційно-керуючі системи; 80-88
This research is devoted to the development of software to increase the efficiency of autonomous wind-generating substations using panel structures, which will allow the use of wind energy to generate electricity with minimal losses and for the life
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::456301f1cbf20646af04adecddc14197
https://zenodo.org/record/7524192
https://zenodo.org/record/7524192
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Autor:
Ablaikhan S. Kadyrov, Ersyn Mukhanbetkalyev, Sarsenbay K. Abdrakhmanov, Nurlan Tashatov, Altay Ussenbayev, Dina Satybaldina
Publikováno v:
Computational Science and Its Applications – ICCSA 2019 ISBN: 9783030243012
ICCSA (3)
ICCSA (3)
Analysis of the retrospective and current states of the epidemiological situation on economically significant zoonoses (rabies, anthrax, and animal foot and mouth disease) in Kazakhstan over the past eight decades is considered. A reliable factual da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab977ca0b5c54571ec195fac296402d
https://doi.org/10.1007/978-3-030-24302-9_39
https://doi.org/10.1007/978-3-030-24302-9_39
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319651262
MMM-ACNS
MMM-ACNS
We present a new approach for malware clustering in the domain of their behavior. To this end, we use a system called tLab that offers analysis and detection of modern complex malware including user-oriented and targeted attacks. Due to technologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49e80082686285c307d529df2d00fb8e
https://doi.org/10.1007/978-3-319-65127-9_16
https://doi.org/10.1007/978-3-319-65127-9_16
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319651262
MMM-ACNS
MMM-ACNS
We present a new system that offers detection and analysis of modern complex malware including user-oriented and targeted attacks. These attacks stem from users’ misbehavior, e.g. misinterpreting or ignoring security alerts, which lead to prolifera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eebc6c25121b01aba3e24e67cfafe142
https://doi.org/10.1007/978-3-319-65127-9_17
https://doi.org/10.1007/978-3-319-65127-9_17
Publikováno v:
2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT).
Multithreshold decoding algorithms for self-orthogonal error-correction codes have been considered. Analytical estimations of their efficiency in the uncorrelated Rayleigh and Rician channels have been represented. Results of the computer simulation
Publikováno v:
2016 Third International Conference on Mathematics and Computers in Sciences and in Industry (MCSI).
Multithreshold decoder (MTD) is the simplest type of majority decoder that decodes self-orthogonal codes. Low computational complexity and simple decoding hardware implementation of multithreshold decoders allow using them in high speed communication