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Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach Cover

Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach

Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 4 (October 2022)
By: Marcin Zalasiński,  Łukasz Laskowski,  Tacjana Niksa-Rynkiewicz,  Krzysztof Cpałka,  Aleksander Byrski,  Krzysztof Przybyszewski,  Paweł Trippner and  Shi Dong  
Open Access
|Oct 2022

Authors

Marcin Zalasiński

marcin.zalasinski@pcz.pl

Częstochowa University of Technology, Department of Intelligent Computer Systems, Częstochowa, Poland

Łukasz Laskowski

Polish Academy of Sciences, Institute of Nuclear Physics, Kraków, Poland

Tacjana Niksa-Rynkiewicz

Gdańsk University of Technology, Faculty of Ocean Engineering and Ship Technology, Gdańsk, Poland

Krzysztof Cpałka

Częstochowa University of Technology, Department of Intelligent Computer Systems, Częstochowa, Poland

Aleksander Byrski

AGH University of Science and Technology, Institute of Computer Science, Kraków, Poland

Krzysztof Przybyszewski

University of Social Sciences, Institute of Information Technologies, Łódź, Poland

Paweł Trippner

University of Social Science, Management Department, Łódź, Poland

Shi Dong

Zhoukou Normal University, School of Computer Science and Technology, China
DOI: https://doi.org/10.2478/jaiscr-2022-0018
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Language: English
Page range: 267 - 279
Submitted on: Mar 23, 2022
Accepted on: Oct 11, 2022
Published on: Oct 29, 2022
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
identity verification,
dynamic signature,
hybrid partitions,
partitions’ selection,
evolutionary algorithm
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2022 Marcin Zalasiński, Łukasz Laskowski, Tacjana Niksa-Rynkiewicz, Krzysztof Cpałka, Aleksander Byrski, Krzysztof Przybyszewski, Paweł Trippner, Shi Dong, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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