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Measurement accuracy of RVFL+ JS against other metaheuristi..:

Emad T. Elkabbash (11731506) ; Reham R. Mostafa (10954040) ; Sherif I. Barakat (11731509)
https://figshare.com/articles/dataset/Measurement_accuracy_of_RVFL_JS_against_other_metaheuristic_algorithms_/17051970. , 2021

Link: https://doi.org/10.1371/journal.pone.0260232.t006

RT Journal
T1 <Title>Measurement accuracy of RVFL+ JS against other metaheuristic algorithms</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17051970&Exemplar=1&LAN=DE
				
A1 Emad T. Elkabbash (11731506)
A1 Reham R. Mostafa (10954040)
A1 Sherif I. Barakat (11731509)
YR 2021
K1 Biotechnology
K1 Ecology
K1 Space Science
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 source operating systems
K1 significant market share
K1 nearly ubiquitous worldwide
K1 malicious actors target
K1 improve classification performance
K1 best performance metrics
K1 artificial jellyfish search
K1 active user population
K1 android application features
K1 source operating system
K1 android operating system
K1 android provides
K1 vulnerabilities present
K1 optimized models
K1 optimal configurations
K1 metaheuristic optimization
K1 learning algorithms
K1 exploit users
K1 dataset consisting
K1 conventional machine
K1 consumer reliance
K1 class applications
K1 598 multi
K1 471 static
JF https://figshare.com/articles/dataset/Measurement_accuracy_of_RVFL_JS_against_other_metaheuristic_algorithms_/17051970
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0260232.t006
DO https://doi.org/10.1371/journal.pone.0260232.t006
SF ELIB - SuUB Bremen

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