A Medical Image Classification Model based on Quantum-Inspired Genetic Algorithm

This study used a Quantum-Inspired Genetic Algorithm (QIGA) to select the proper functionality and reduce the dimensions, classification time, and computational cost of a learning dataset. QIGA reduces the complexity of solutions and improves the selection of the best features. The application of qu...

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Veröffentlicht in:Engineering, technology & applied science research technology & applied science research, 2024-10, Vol.14 (5), p.16692-16700
Hauptverfasser: Ibrahim, Hussain K., Rokbani, Nizar, Wali, Ali, Ouahada, Khmaies, Chabchoub, Habib, Alimi, Adel M.
Format: Artikel
Sprache:eng
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