Zobrazeno 1 - 10
of 1 923
pro vyhledávání: '"A. Tchernykh"'
Autor:
Pulido-Gaytan, Bernardo1 (AUTHOR), Tchernykh, Andrei1,2 (AUTHOR) chernykh@cicese.mx
Publikováno v:
PLoS ONE. 7/22/2024, Vol. 19 Issue 7, p1-31. 31p.
Publikováno v:
IEEE Access, Vol 12, Pp 182203-182231 (2024)
This systematic review offers a comprehensive analysis of scheduling algorithms designed for scientific workflows, particularly those handling Big Data. By examining research published between 2010 and 2023, we aim to provide a structured overview of
Externí odkaz:
https://doaj.org/article/f40316a8e7ba45219485eeafdebc50d8
As the population grows, the need for a quality level of medical services grows correspondingly, so does the demand for information technology in medicine. The concept of "Smart Healthcare" offers many approaches aimed at solving the acute problems f
Externí odkaz:
http://arxiv.org/abs/2106.11728
As the Internet of Things (IoT) becomes a part of our daily life, there is a rapid growth in connected devices. A well-established approach based on cloud computing technologies cannot provide the necessary quality of service in such an environment,
Externí odkaz:
http://arxiv.org/abs/2106.11726
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0306420 (2024)
The widespread adoption of cloud computing necessitates privacy-preserving techniques that allow information to be processed without disclosure. This paper proposes a method to increase the accuracy and performance of privacy-preserving Convolutional
Externí odkaz:
https://doaj.org/article/9411b06664d24867bb6207f4d7b8c7db
Publikováno v:
IEEE Access, Vol 11, Pp 102189-102206 (2023)
The security issues that arise in public cloud environments raise several concerns about privacy-preserving. Conventional security practices successfully protect stored and transmitted data by encryption, but not during data processing where the data
Externí odkaz:
https://doaj.org/article/d4c390fd66a94f09ae5ff4d03456e201
Publikováno v:
IEEE Access, Vol 11, Pp 26807-26819 (2023)
Improving the characteristics of digital signal processing devices is an important task in many practical problems. The paper proposes the architecture of a two-dimensional digital filter with a $5\times 5$ mask, in which calculations are performed a
Externí odkaz:
https://doaj.org/article/44df75ae6a57427c91acad973dbad4c0
Autor:
Alexander Feoktistov, Alexei Edelev, Andrei Tchernykh, Sergey Gorsky, Olga Basharina, Evgeniy Fereferov
Publikováno v:
Computation, Vol 11, Iss 12, p 243 (2023)
Implementing high-performance computing (HPC) to solve problems in energy infrastructure resilience research in a heterogeneous environment based on an in-memory data grid (IMDG) presents a challenge to workflow management systems. Large-scale energy
Externí odkaz:
https://doaj.org/article/3973a32b895a446594e74a50245d85b5
Autor:
Sergio Nesmachnow, Andrei Tchernykh
Publikováno v:
Urban Science, Vol 7, Iss 4, p 113 (2023)
Urban mobility and strategies for public transportation play a vital role in promoting a more sustainable, accessible, and livable urban environment in smart cities. Data-driven decision making, multi-modal integration, and innovative means are key e
Externí odkaz:
https://doaj.org/article/490418bc42294997886fd89894feaf7f
Autor:
Mikhail Babenko, Elena Golimblevskaia, Andrei Tchernykh, Egor Shiriaev, Tatiana Ermakova, Luis Bernardo Pulido-Gaytan, Georgii Valuev, Arutyun Avetisyan, Lana A. Gagloeva
Publikováno v:
Big Data and Cognitive Computing, Vol 7, Iss 2, p 84 (2023)
Homomorphic encryption (HE) is a promising solution for handling sensitive data in semi-trusted third-party computing environments, as it enables processing of encrypted data. However, applying sophisticated techniques such as machine learning, stati
Externí odkaz:
https://doaj.org/article/7e4539b70412475087d12613715de42e