The purpose of this work is to explore methods of visual communication based on generative artificial intelligence in the context of new media. This work proposes an image automatic generation and ...

Academics from UK and China have developed a new machine learning algorithm that can break text-based CAPTCHA systems with less effort, faster, and with higher accuracy than all previous methods. This ...

Ancient Chinese cultural relics have a long history and, to some extent, reflect the pursuits and longings of people during certain periods. However, intact murals are rare; therefore, mural ...

Abstract: Generative adversarial networks(GAN) are widely used in various fields. However, when generating text data with contextual correlation characteristics such as fault data, GAN has many ...

Abstract: An adaptive genetic algorithm for parameter extraction is proposed, which solves the problem of low efficiency of parameter extraction and improves the accuracy of parameter extraction.

The polygons for large circles have many segments, and the polygons for small circles have fewer segments (but never fewer than 8). CalliGAN is a high-performance Rust implementation of the QQL ...