Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Aleksander Byrski"'
Autor:
Krzysztof Odrzywolek, Zuzanna Karwowska, Jan Majta, Aleksander Byrski, Kaja Milanowska-Zabel, Tomasz Kosciolek
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Understanding the function of microbial proteins is essential to reveal the clinical potential of the microbiome. The application of high-throughput sequencing technologies allows for fast and increasingly cheaper acquisition of data from mi
Externí odkaz:
https://doaj.org/article/35fb79437522462488bbdfd223c572d4
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 69, Iss 4 (2021)
Externí odkaz:
https://doaj.org/article/15115691d074416abdd7a1550f378c22
Autor:
Mateusz Paciorek, Damian Poklewski-Koziełł, Kinga Racoń-Leja, Aleksander Byrski, Mateusz Gyurkovich, Wojciech Turek
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 69, Iss 4 (2021)
The ongoing period of the pandemic makes everybody focused on the matters related to fighting this immense problem posed to the societies worldwide. The governments deal with the threat by publishing regulations which should allow to mitigate the pan
Externí odkaz:
https://doaj.org/article/95abb91102ae45cab3305c7402acae28
Autor:
Leszek Siwik, Dawid Kala, Mateusz Godzik, Wojciech Turek, Aleksander Byrski, Marek Kisiel-Dorohinick
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 4 (2017)
Mobile Computing and Mobile Cloud Computing are the areas where intensive research is observed. The “mobility” landscape (devices, technologies, apps, etc.) evolves so fast that definitions and taxonomies do not catch up with so dynamic changes
Externí odkaz:
https://doaj.org/article/845062d8fb9c43729ca0926ff27cd6fd
Publikováno v:
Journal of Digital Forensics, Security and Law, Vol 5, Iss 1, Pp 49-62 (2010)
Based on existing software aimed at investigation support in the analysis of computer data storage overtaken during investigation (PyFlag), an extension is proposed involving the introduction of dedicated components for data identification and filter
Externí odkaz:
https://doaj.org/article/5a81ed437aea403d9f1f3a1bef1d58cc
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 2 (2013)
In this paper, an application of Evolutionary Multiagent Systems (EMAS) and its memetic version to the optimization of advisory strategy (in this case, Sudoku advisory strategy) is considered. The problem is tackled using an EMAS, which has already p
Externí odkaz:
https://doaj.org/article/a193cacd456342d9b7a835ba050294d0
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 1 (2012)
In the paper an agent-based framework deployed in hybrid cluster and volunteer computing environment is presented. It utilizes two concepts proposed by the authors: Augmented Cloud and Agent Platform as a Service (AgPaaS). Both concepts are discussed
Externí odkaz:
https://doaj.org/article/c013762a3396492f9b879ae1f4a49bcc
Autor:
Aleksander Byrski, Michal Felus, Jakub Gawlik, Rafal Jasica, Pawel Kobak, Grzegorz Jankowski, Edward Nawarecki, Michal Wroczynski, Przemyslaw Majewski, Tomasz Krupa, Jacek Strychalski
Publikováno v:
Computer Science, Vol 14, Iss 1, p 153 (2013)
Volunteer environments usually consist of a large number of computing nodes,with highly dynamic characteristics, therefore reliable models for a planning ofthe whole computing are highly desired. An easy to implement approach to mo-delling and simula
Externí odkaz:
https://doaj.org/article/3b374da3a67a4e2a9e5e0cb182435c01
Autor:
Aleksander Byrski
Publikováno v:
Computer Science, Vol 14, Iss 3, p 491 (2013)
In this paper an Evolutionary Multi-agent system based computing processis subjected to detailed analysis of the parameters in order to ground a basefor better understanding this meta-heuristics from the practitioner's point of view.After reviewing t
Externí odkaz:
https://doaj.org/article/76cc54bf0b1946cd90d12f2eafe3cba3
Publikováno v:
Computer Science, Vol 14, Iss 3, p 367 (2013)
The paper tackles the application of evolutionary multi-agent computing to solving inverse problems. High costs of fitness function call become a major difficulty when approachingthese problems with population-based heuristics, however evolutionary a
Externí odkaz:
https://doaj.org/article/9f30755be3734ccc82dc491a0963a0cf