Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...
Abstract: Estimation of distribution algorithms (EDAs) face substantial difficulty in navigating complex landscapes efficiently due to predefined prior assumptions. Deep generative model-based EDAs ...
This project presents a comprehensive implementation of a Variational Autoencoder system designed for unsupervised anomaly detection in high-dimensional datasets. The implementation emphasizes ...
A state-of-the-art Video Variational Autoencoder (VAE) designed for high-fidelity video reconstruction. This project leverages cross-modal and joint video-image training to enhance reconstruction ...
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