Reducing the amount of projection data in computed tomography (CT), specifically sparse-view CT, can reduce exposure dose; however, image artifacts can occur. We quantitatively evaluated the effects ...
This research examines the application of the Conditional Generative Adversarial Network (cGAN) on historic map datasets of Java, Indonesia. The procedure is divided into four stages: input, ...
What Is A Generative Adversarial Network? A generative adversarial network (GAN) is a type of machine learning model that uses two competing neural networks to generate new data that resembles the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results