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Esra?a Alkafaween, Ahmad Hassanat, Ehab Essa and Samir Elmougy
The genetic algorithm (GA) is a well-known metaheuristic approach for dealing with complex problems with a wide search space. In genetic algorithms (GAs), the quality of individuals in the initial population is important in determining the final optimal ...
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Alaa Alqatawneh, Rania Alhalaseh, Ahmad Hassanat and Mohammad Abbadi
In this paper, an efficient, accurate, and nonparametric epilepsy detection and classification approach based on electroencephalogram (EEG) signals is proposed. The proposed approach mainly depends on a feature extraction process that is conducted using ...
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Ahmad Hassanat, Khalid Almohammadi, Esra?a Alkafaween, Eman Abunawas, Awni Hammouri and V. B. Surya Prasath
Genetic algorithm (GA) is an artificial intelligence search method that uses the process of evolution and natural selection theory and is under the umbrella of evolutionary computing algorithm. It is an efficient tool for solving optimization problems. I...
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Ahmad HASSANAT
Pág. 15 - 30
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Ahmad B. Hassanat, V. B. Surya Prasath, Mohammed Ali Abbadi, Salam Amer Abu-Qdari and Hossam Faris
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