IEEE

Fault Detection and Identification of Underwater Thruster Without Fault Sample Based on Adversarial Variational Autoencoder

Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...

Penny Liang: Understanding Large Models for Humanities Students (1.0)

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

Machine Learning Enhances Quantum Physics: Revealing Hidden Dynamics in Bose Gases

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...
IEEE

TMAE: Entropy-Aware Masked Autoencoder for Low-Cost Traffic Flow Map Inference

Abstract: Accurate traffic flow measurement is essential for the development of smart cities, yet the deployment of ubiquitous monitoring sensors using traditional methods is often cost-prohibitive.