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Deep variational autoencoder for proteomics mass spectrometry data analysis

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 ...
IEEE

Latent Space Bayesian Parameter Topology Optimization of Permanent Magnet Synchronous Motors via a Variational Autoencoder

Abstract: This study introduces a novel approach that combines a variational autoencoder and Bayesian optimization to accelerate the simultaneous parameter and topology optimization of interior ...
Nanowerk

Generative AI predicts antiferromagnets for ultrafast spintronics

A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ...
IEEE

Reinforcement Learning and Spatio-Temporal Graph Neural Networks for Alzheimer's Disease Progression Prediction with Variational Autoencoder-Based Data Imputation

Abstract: Early detection and accurate modeling of Alzheimer's disease (AD) progression are still significant challenges because of its intricate neurodegenerative patterns. Traditional deep learning ...