Search Results - "Variational autoencoder generative adversarial network"

Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation by Tian, Chenxi, Ma, Yuliang, Cammon, Jared, Fang, Feng, Zhang, Yingchun, Meng, Ming

“…The current data scarcity problem in EEG-based emotion recognition tasks leads to difficulty in building high-precision models using existing deep learning…”
Get full text

Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network by Ding, Yuanming, Kang, Wei, Feng, Jianxin, Peng, Bo, Yang, Anna

“…The rapid spread of mobile banking and e-commerce has coincided with a dramatic increase in fraudulent online payments in recent years. Although machine…”
Get full text

MCVAE-GAN: A Novel Diagnosis Method for Solving Harmonic Reducer Fault Signal Scarcity and Sample Diversity Problem by Zhao, Zida, Sun, Shilong, Wang, Dong, Xu, Wenfu

“…Harmonic reducers are vital for robotics and aerospace due to their ability to deliver high torque and reduction, but they face challenges in fault diagnosis…”
Get full text

Data augmentation and machine learning techniques for control strategy development in bio-polymerization process by Wei, Sizhou, Chen, Zhiyuan, Arumugasamy, Senthil Kumar, Chew, Irene Mei Leng

“…Machine learning has been increasingly used in biochemistry. However, in organic chemistry and other experiment-based fields, data collected from real…”
Get full text

Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network by Lin, Mansheng, Teng, Shuai, Chen, Gongfa, Bassir, David

“…Owing to the complexity of obtaining the landslide inventory data, it is a challenge to establish a landslide spatial prediction model with limited labeled…”
Get full text

Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data by Hu, Miao, Jiang, Shujiao, Jia, Fenglong, Yang, Xiaomei, Li, Zhiqiang

“…Building a reasonable model for predicting biodiversity using limited data is challenging. Expanding limited experimental data using a variational autoencoder…”
Get full text

基于VAE-GAN数据增强算法的小样本滚动轴承故障分类方法 by 张钊光, 蒋庆磊, 詹瑜滨, 侯修群, 郑英, 崔运佳

“…TP277%TH17; 近些年,数据增强算法被广泛应用于小样本故障分类中.然而,传统的数据增强模型在训练中经常出现梯度爆炸、梯度消失等问题,这在一定程度上限制了其在滚动轴承故障…”
Get full text

An Improved Variational Autoencoder Generative Adversarial Network with Convolutional Neural Network for Fraud Financial Transaction Detection by Gudivaka, Basava Ramanjaneyulu, Almusawi, Muntather, Priyanka, M S, Dhanda, Madhava Rao, Thanjaivadivel, M

“…In recent years, the rapid development of ecommerce technologies has made it possible for people to conveniently shop from stores worldwide without leaving…”
Get full text

A conditional variational autoencoding generative adversarial networks with self-modulation for rolling bearing fault diagnosis by Liu, Yunpeng, Jiang, Hongkai, Wang, Yanfeng, Wu, Zhenghong, Liu, Shaowei

“…•Translating and scaling is performed on the input to alleviate overfitting.•Self-Modulation module is adopted in generator to achieve Nash…”
Get full text

A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model by Sun, Shilong, Ding, Hao, Huang, Haodong, Zhao, Zida, Wang, Dong, Xu, Wenfu

“…In actual industrial production, differences in product ion conditions lead to variations in the collected data distribution. This gives rise to a particular…”
Get full text