Video surveillance systems are essential for an intelligent and smart traffic monitoring system. Detecting and recognizing traffic anomalies is the foremost task for the safety and security of human ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

Intelligent music generation is a significant application of artificial intelligence. To better achieve the function of video background music generation, finer-grained control is necessary to enable ...

Latent Diffusion Model Implementation is a Python project exploring the implementation of a latent diffusion model using a variational autoencoder (VAE) and a conditional U-Net. It currently targets ...

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

Subsequently, using a variational autoencoder, and combining the parking vehicle sequence data, the range of charging pile installation numbers, and the parking lot layout, multiple simulated ...