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Evaluating Neural Network Models For Predicting Dynamic Signature Signals Cover

Evaluating Neural Network Models For Predicting Dynamic Signature Signals

Journal of Artificial Intelligence and Soft Computing Research
Volume 14 (2024): Issue 4 (July 2024)
By: Marcin Zalasiński,  Andrzej Cader,  Zofia Patora-Wysocka and  Min Xiao  
Open Access
|Jul 2024

Authors

Marcin Zalasiński

marcin.zalasinski@pcz.pl

Department of Intelligent Computer Systems, Cz˛estochowa University of Technology, Cz˛estochowa, Poland

Andrzej Cader

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

Zofia Patora-Wysocka

Management Department, University of Social Sciences, Łódź, Poland

Min Xiao

College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China
DOI: https://doi.org/10.2478/jaiscr-2024-0019
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Language: English
Page range: 361 - 372
Submitted on: Jan 16, 2024
|
Accepted on: Jul 16, 2024
|
Published on: Jul 29, 2024
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
dynamic signature,
prediction,
neural networks,
artificial intelligence,
bio-metrics
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2024 Marcin Zalasiński, Andrzej Cader, Zofia Patora-Wysocka, Min Xiao, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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