Evolutionary-Enhanced GAN With Wavelet-Based Discrimination: A Hardware-Accelerated Architecture for Efficient Synthetic Image Generation

This study presents a resource-efficient synthetic image generation architecture that integrates evolutionary optimization with wavelet-based adversarial learning. The proposed framework embeds a genetic algorithm within the generator to adaptively optimize network parameters, while the discriminato...

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書誌詳細

主要な著者:	Charudatta Gurudas Korde, K. G. Shreeharsha, R. K. Siddharth, M. H. Vasantha, Y. B. Nithin Kumar
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2025-01-01
シリーズ:	IEEE Access
主題:	Evolutionary algorithm generative adversarial networks genetic algorithm field programmable gate array data security deep learning
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11288977/
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