Abstract: In this paper, a physics-informed generative adversarial network (GAN) framework is proposed for computationally efficient radiation pattern synthesis of series-fed linear arrays. In the ...
Abstract: Generative models have gained significant attention in computer vision and natural language processing for their ability to generate realistic samples from complex data distributions.
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