Výsledky vyhľadávania - "Variational autoencoder generative adversarial network"

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

“… However, oversampling still has disadvantages. Hence, we improve the generator part of the Variational Autoencoder Generative Adversarial Network (VAEGAN…”
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Marginal region-integrated regressive conditional variational autoencoder-generative adversarial network: A soft sensing enhancement method Autor Liu, Guo-yu, Zhu, Qun-Xiong, Luo, Yi, Ke, Wei, He, Yan-Lin, Zhang, Yang, Zhang, Ming-Qing, Xu, Yuan

“…, ultimately affecting the fitting performance of soft sensing models. To address this challenge, we propose a marginal Isolation Mega Trend Diffusion with Regressor Conditional Variational Autoencoder-Generative Adversarial Network (IRCVGAN…”
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Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home Autor Razghandi, Mina, Zhou, Hao, Erol-Kantarci, Melike, Turgut, Damla

“… To this end, in this paper, we propose a Variational AutoEncoder Generative Adversarial Network (VAE-GAN) as a smart grid data generative model which is capable of learning various types…”
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Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance Autor Ooi, Sai Kit, Tanny, Dave, Chen, Junghui, Wang, Kai

“… Such discrepancy exists because of the time lag for obtaining quality data. This paper proposes semi-supervised variational autoencoder-generative adversarial network (S2-VAE/GAN…”
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AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network Autor Li, Yantao, Ouyang, Caike, Huang, Hongyu

“… In this article, we present AEGANAuth, a lightweight and effective autoencoder GAN (AEGAN)-based continuous Authentication system for mobile devices using conditional variational autoencoder generative adversarial network (CVAEGAN…”
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Three-dimensional shape generation via variational autoencoder generative adversarial network with signed distance function Autor Ajayi, Ebenezer Akinyemi, Lim, Kian Ming, Chong, Siew-Chin, Lee, Chin Poo

“…Mesh-based 3-dimensional (3D) shape generation from a 2-dimensional (2D) image using a convolution neural network (CNN) framework is an open problem in the…”
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Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network Autor 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…”
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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 Autor Hu, Miao, Jiang, Shujiao, Jia, Fenglong, Yang, Xiaomei, Li, Zhiqiang

“… Expanding limited experimental data using a variational autoencoder generative adversarial network (VAEGAN…”
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Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation Autor Tian, Chenxi, Ma, Yuliang, Cammon, Jared, Fang, Feng, Zhang, Yingchun, Meng, Ming

“… To tackle this problem, a dual encoder variational autoencoder-generative adversarial network (DEVAE-GAN…”
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An Improved Variational Autoencoder Generative Adversarial Network with Convolutional Neural Network for Fraud Financial Transaction Detection Autor Gudivaka, Basava Ramanjaneyulu, Almusawi, Muntather, Priyanka, M S, Dhanda, Madhava Rao, Thanjaivadivel, M

“… them. To overcome these problems this paper proposed an improved generator part of the Variational Autoencoder Generative Adversarial Network (VAEGAN…”
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MCVAE-GAN: A Novel Diagnosis Method for Solving Harmonic Reducer Fault Signal Scarcity and Sample Diversity Problem Autor Zhao, Zida, Sun, Shilong, Wang, Dong, Xu, Wenfu

“…-based fault diagnosis methods. To address this, we propose a novel approach, the multiconditional variational autoencoder generative adversarial network (MCVAE-GAN…”
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基于VAE-GAN数据增强算法的小样本滚动轴承故障分类方法 Autor 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…”
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Data augmentation and machine learning techniques for control strategy development in bio-polymerization process Autor 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…”
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Data Augmentation for Monaural Singing Voice Separation Based on Variational Autoencoder-Generative Adversarial Network Autor He, Boxin, Wang, Shengbei, Yuan, Weitao, Wang, Jianming, Unoki, Masashi

“…Random mixing and circularly shifting for augmenting the training set are used to improve the separation effect of deep neural network (DNN)-based monaural…”
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Deep Beacon: Image Storage and Broadcast over BLE Using Variational Autoencoder Generative Adversarial Network Autor Shao, Chong, Nirjon, Shahriar

“…This paper describes Deep Beacon which uses a set of cheap, low-power, storage-constrained Bluetooth Low Energy (BLE) devices to beacon (i.e. broadcast) a…”
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Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home Autor Razghandi, Mina, Zhou, Hao, Erol-Kantarci, Melike, Turgut, Damla

“… To this end, in this paper, we propose a Variational AutoEncoder Generative Adversarial Network (VAE-GAN) as a smart grid data generative model which is capable of learning various types…”
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Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning Autor Ren, Ziqi, Li, Jie, Xue, Xuetong, Li, Xin, Yang, Fan, Jiao, Zhicheng, Gao, Xinbo

“…•We combined a dual-VAE structure with GAN to build a D-Vae/Gan framework.•Gan-based inter-modality knowledge distillation was introduced for feature…”
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A conditional variational autoencoding generative adversarial networks with self-modulation for rolling bearing fault diagnosis Autor 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…”
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A review of enzyme design in catalytic stability by artificial intelligence Autor Ming, Yongfan, Wang, Wenkang, Yin, Rui, Zeng, Min, Tang, Li, Tang, Shizhe, Li, Min

“…) algorithms including natural language processing, machine learning, deep learning, variational autoencoder/generative adversarial network, message passing neural network (MPNN…”
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A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model Autor Sun, Shilong, Ding, Hao, Huang, Haodong, Zhao, Zida, Wang, Dong, Xu, Wenfu

“… Subsequently, an enhanced variational autoencoder generative adversarial network (VAEGAN) is trained using the envelope order spectra…”
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