Výsledky vyhledávání - Conditional variational autoencoder network*

Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder Autor Singh, Prithvipal, Singh, Sandeep, Singh, Gurupdesh, Singh, Amritpal

“…Since, Artificial Intelligence is highly developing and concatenating into several domains, cybersecurity is an important field of delivering both the…”
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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2 Autor Liu, Junhao, Luo, Zeyu, Wang, Rui, Li, Xin, Sun, Yawen, Chen, Zongqing, Zhang, Yu-Juan

“… Then, utilizing conditional variational inference to reduce the ESM2 features to a lower-dimensional latent representation…”
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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2 Autor Junhao Liu, Zeyu Luo, Rui Wang, Xin Li, Yawen Sun, Zongqing Chen, Yu-Juan Zhang

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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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Network intrusion detection based on conditional wasserstein variational autoencoder with generative adversarial network and one-dimensional convolutional neural networks Autor He, Jiaxing, Wang, Xiaodan, Song, Yafei, Xiang, Qian, Chen, Chen

“… We propose Conditional Wasserstein Variational Autoencoders with Generative Adversarial Network (CWVAEGAN…”
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Conditional Variational Autoencoder Networks for Autonomous Vehicle Path Prediction Autor Jagadish, D. N., Chauhan, Arun, Mahto, Lakshman

“… We explore variational autoencoder networks to get multimodal predictions of agents. In our work, we condition the network on past trajectories of agents and traffic scenes as well…”
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Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network Autor Yang, Yanqing, Zheng, Kangfeng, Wu, Chunhua, Yang, Yixian

“… We propose a novel intrusion detection model that combines an improved conditional variational AutoEncoder (ICVAE…”
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Defect detection and data generation of shunt between three layers of resistance spot welding based on deep convolutional generative adversarial network and conditional variational autoencoder Autor Deng, Haofeng, Gao, Xiangdong, Zhang, Dongfang, Lu, Wuqi, Gao, Pengyu, Zhang, Yanxi

“… To cope with this problem, this paper proposes a defect generation and classification method based on a Deep Convolutional Generative Adversarial Network-Conditional Variational Autoencoder (DCGAN-CVAE…”
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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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Online nonlinear data reconciliation to enhance nonlinear dynamic process monitoring using conditional dynamic variational autoencoder networks with particle filters Autor Chiu, Kuanhsuan, Chen, Junghui, Zhang, Zhengjiang

“… a method called Conditional Dynamic Variational Autoencoder combined with a Particle Filter (CDVAE-PF…”
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Remaining useful-life prediction of lithium battery based on neural-network ensemble via conditional variational autoencoder: Remaining useful-life prediction of lithium battery based Autor Zhang, Hengshan, Guo, Kaijie, Chen, Yanping, Sun, Jiaze

“… This study presents an RUL-prediction method for LiBs based on a neural-network ensemble via a Conditional Variational Autoencoder (CVAE…”
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Remaining useful-life prediction of lithium battery based on neural-network ensemble via conditional variational autoencoder Autor Zhang, Hengshan, Guo, Kaijie, Chen, Yanping, Sun, Jiaze

“… This study presents an RUL-prediction method for LiBs based on a neural-network ensemble via a Conditional Variational Autoencoder (CVAE…”
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Spectrum-compatible artificial accelerograms via conditional variational autoencoder with generative adversarial networks Autor Hu, Xiaohu, Chen, Su, Ding, Yi, Fu, Lei, Li, Xiaojun

“… This study proposes a Conditional Variational Autoencoder with Generative Adversarial Networks (CVAE-GAN…”
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Conditional Variational Autoencoder and generative adversarial network-based approach for long-tailed fault diagnosis for the motor system Autor Huang, Mei, Sheng, Chenxing, Rao, Xiang

“… We propose the LT-CVAE-GAN model, which integrates a Conditional Variational Autoencoder (CVAE) with a Conditional Generative Adversarial Network…”
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A theme music generation model based on hybrid variational autoencoders and conditional generative adversarial networks Autor Jin, Fangzhu, Li, Peng, Wu, Xiaojun

“… coherence in the generated results. In this paper, we propose a thematic music generation model based on a generative adversarial network, named Thematic Music Conditional Generative Adversarial Network (TM-CGAN…”
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Brain fingerprinting and cognitive behavior predicting using functional connectome of high inter-subject variability Autor Lu, Jiayu, Yan, Tianyi, Yang, Lan, Zhang, Xi, Li, Jiaxin, Li, Dandan, Xiang, Jie, Wang, Bin

“…•Conditional deep generative network for extracting shared information of inter-subject.•Embed the state information into the conditional deep generative network…”
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Predicting critical heat flux with uncertainty quantification and domain generalization using conditional variational autoencoders and deep neural networks Autor Alsafadi, Farah, Furlong, Aidan, Wu, Xu

“… In this work, we developed a conditional variational autoencoder (CVAE) to augment critical heat flux (CHF…”
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Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder Autor Chen, Yuncheng, Yang, Yingbao, Pan, Xin, Meng, Xiangjin, Hu, Jia

“… In this study, we propose a spatiotemporal fusion network for LST based on a conditional variational autoencoder (CVAE-LSTFM…”
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Predicting critical heat flux with uncertainty quantification and domain generalization using conditional variational autoencoders and deep neural networks Autor Alsafadi, Farah, Furlong, Aidan, Wu, Xu

“… In this work, we developed a conditional variational autoencoder (CVAE) to augment critical heat flux (CHF…”
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Conditional Enhanced Variational Autoencoder-Heterogeneous Graph Attention Neural Network: A Novel Fault Diagnosis Method for Electric Rudders Based on Heterogeneous Information Autor Cao, Ximing, Yang, Ruifeng, Guo, Chenxia, Qin, Hao

“… Initially, we facilitate interaction between conditional information and the original features, followed by dimensional reduction via a conditional enhanced variational autoencoder, thereby achieving…”
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