C&EN

Soft Measurement Modeling Method Based on Quality-Related Mixed Variational Autoencoder Regression

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...
C&EN

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data

State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.
IEEE

LSTM-Transformer Fusion Variational Autoencoder (LTF-VAE) for ADS-B Anomaly Detection

Abstract: Automatic Dependent Surveillance-Broadcast (ADS-B) is a critical component of next-generation air traffic management systems. However, its vulnerability to spoofing attacks stems from the ...
IEEE

A Sensor Data Imputation Method Based on Variational Autoencoder Generative Adversarial Networks

Abstract: Data from industrial processes often experiences loss of critical information due to sensor or transmission equipment failures. This results in significant deviations in subsequent data ...
GitHub

VideoVAE+: Large Motion Video Autoencoding with Cross-modal Video VAE

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 ...
Frontiers

Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines

Existing studies indicate that dysregulation or abnormal expression of small nucleolar RNA (snoRNA) is closely associated with various diseases, including lung cancer. Furthermore, these diseases ...