This paper presents an unsupervised learning method to classify and label transients observed in the distribution grid. A Convolutional Variational Autoencoder (CVAE) was developed for this purpose.

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 ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

A Variational Autoencoder Enhanced Deep Learning Model for Wafer Defect Imbalanced Classification Abstract: In semiconductor foundries, wafer map defect analysis is crucial to prevent yield excursion.

Detection of outliers using Autoencoder. Contribute to ruyunnuyur/Deep-learning-project development by creating an account on GitHub.

Keywords: protein system, conformational space, variational autoencoder, molecular dynamics, deep learning Citation: Tian H, Jiang X, Trozzi F, Xiao S, Larson EC and Tao P (2021) Explore Protein ...