Suchergebnisse - (conditional OR conditioning) variational autoencoder network

Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network von 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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Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT von Lopez-Martin, Manuel, Carro, Belen, Sanchez-Esguevillas, Antonio, Lloret, Jaime

“… The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host’s network …”
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Data-driven design exploration method using conditional variational autoencoder for airfoil design von Yonekura, Kazuo, Suzuki, Katsuyuki

“… In the present work, we achieve this goal using a conditional variational autoencoder (CVAE). The method enables us to analyze the relationship between aerodynamic performance and the shape of aerodynamic parts, and to explore new designs for the parts …”
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Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder von Xu, Xing, Li, Jie, Yang, Yang, Shen, Fumin

“… To tackle this problem, in this article, we propose a novel deep learning-based intrusion detection method named log-cosh conditional variational autoencoder (LCVAE …”
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Rapid Generation of Kilonova Light Curves Using Conditional Variational Autoencoder von Saha, Surojit, Williams, Michael J., Datrier, Laurence, Hayes, Fergus, Nicholl, Matt, Kong, Albert K. H., Hendry, Martin, Heng, IK Siong, Lamb, Gavin P., Lin, En-Tzu, Williams, Daniel

“… The discovery of the optical counterpart, along with the gravitational waves (GWs) from GW170817, of the first binary neutron star merger has opened up a new …”
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Degradation Prediction of Semiconductor Lasers Using Conditional Variational Autoencoder von Abdelli, Khouloud, Grieser, Helmut, Neumeyr, Christian, Hohenleitner, Robert, Pachnicke, Stephan

“… Semiconductor lasers have been rapidly evolving to meet the demands of next-generation optical networks …”
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Asset Pricing via the Conditional Quantile Variational Autoencoder von Yang, Xuanling, Zhu, Zhoufan, Li, Dong, Zhu, Ke

“… To study conditional quantiles of the return, we propose a new conditional quantile variational autoencoder (CQVAE) network …”
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Spatiotemporal Fusion Network for Land Surface Temperature Based on a Conditional Variational Autoencoder von 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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Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy von Gabbard, Hunter, Messenger, Chris, Heng, Ik Siong, Tonolini, Francesco, Murray-Smith, Roderick

“…  min on a limited range of key source parameters. Here, we show that a conditional variational autoencoder pretrained on binary black hole signals can return Bayesian …”
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ICVAE: Interpretable Conditional Variational Autoencoder for De Novo Molecular Design von Fan, Xiaqiong, Fang, Senlin, Li, Zhengyan, Ji, Hongchao, Yue, Minghan, Li, Jiamin, Ren, Xiaozhen

“… Among them, Conditional Variational Autoencoder (CVAE) is a powerful approach to generate molecules with desired physiochemical and pharmacological properties. However …”
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Generating multivariate load states using a conditional variational autoencoder von Wang, Chenguang, Sharifnia, Ensieh, Gao, Zhi, Tindemans, Simon H., Palensky, Peter

“… In this paper, a multivariate load state generating model on the basis of a conditional variational autoencoder (CVAE …”
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CVA2E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification von Wang, Xue, Tan, Kun, Du, Qian, Chen, Yu, Du, Peijun

“… Deep generative models such as the generative adversarial network (GAN) and the variational autoencoder (VAE …”
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Conditional Variational Autoencoder for Learned Image Reconstruction von Zhang, Chen, Barbano, Riccardo, Jin, Bangti

“… Once the network is trained using the conditional variational autoencoder loss, it provides a computationally efficient sampler for the approximate …”
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Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder von 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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AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network von 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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mmFall: Fall Detection Using 4-D mmWave Radar and a Hybrid Variational RNN AutoEncoder von Jin, Feng, Sengupta, Arindam, Cao, Siyang

“… ) a hybrid variational recurrent neural network (RNN) autoencoder (HVRAE) to compute the anomaly level of the body motion based on the acquired point cloud …”
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Spectrum-compatible artificial accelerograms via conditional variational autoencoder with generative adversarial networks von 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 Informed Probabilistic Wind Power Curve Modeling von Zheng, Zhong, Yang, Luoxiao, Zhang, Zijun

“… The conditional variational autoencoder is composed of an encoder and a decoder network. The encoder infers the state of the latent random variable given the wind speed …”
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Marginal region-integrated regressive conditional variational autoencoder-generative adversarial network: A soft sensing enhancement method von 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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Generating functional protein variants with variational autoencoders von Hawkins-Hooker, Alex, Depardieu, Florence, Baur, Sebastien, Couairon, Guillaume, Chen, Arthur, Bikard, David

“… in the design of novel proteins remains largely unexplored. Here we show that variational autoencoders trained on a dataset of almost 70000 luciferase-like oxidoreductases …”
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