Suchergebnisse - "conditional variational autoencoder"

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. In current …”
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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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Molecular generative model based on conditional variational autoencoder for de novo molecular design von Lim, Jaechang, Ryu, Seongok, Kim, Jin Woo, Kim, Woo Youn

“… We propose a molecular generative model based on the conditional variational autoencoder for de novo molecular design …”
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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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MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder von Lee, Myeonghun, Min, Kyoungmin

“… The performance of the molecular graph conditional variational autoencoder (MGCVAE) for generating molecules with specific desired properties was investigated by comparing it to a molecular graph variational autoencoder (MGVAE …”
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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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Power Plant Model Parameter Calibration Using Conditional Variational Autoencoder von Khazeiynasab, Seyyed Rashid, Zhao, Junbo, Batarseh, Issa, Tan, Bendong

“… Then, synchrophasor measurement-based conditional variational autoencoder is developed to estimate the parameters' posterior distributions even in the presence of a high-dimensional case …”
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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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Sensing anomaly of photovoltaic systems with sequential conditional variational autoencoder von Li, Ding, Zhang, Yufei, Yang, Zheng, Jin, Yaohui, Xu, Yanyan

“… This study proposes the Sequential Conditional Variational Autoencoder (SCVAE), which can cope with the sequential impacts of the environment on PV …”
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Semi-Supervised Deep Conditional Variational Autoencoder for Soft Sensor Modeling von Tang, Xiaochu, Yan, Jiawei, Li, Yuan, Zhang, Xinmin, Song, Zhihuan

“… Variational autoencoder (VAE) as an unsupervised deep generated model has been widely applied to process modeling for industrial processes due to its excellent …”
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Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach von Ivanovic, Boris, Leung, Karen, Schmerling, Edward, Pavone, Marco

“… of several different approaches. In this work, we provide a self-contained tutorial on a conditional variational autoencoder (CVAE …”
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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. This imposes much more stringent requirements on the …”
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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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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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One-step variation included compact modeling with conditional variational autoencoder von Wang, Shuhan, Zhou, Zheng, Tang, Zili, Xu, Jinghan, Liu, Xiaoyan, Zhang, Xing

“… •A machine learning assisted compact modeling approach is proposed to include variation in one step by conditional variational autoencoder …”
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Conditional Variational Autoencoder Informed Probabilistic Wind Power Curve Modeling von Zheng, Zhong, Yang, Luoxiao, Zhang, Zijun

“… In this paper, a conditional variational autoencoder based method is proposed for the probabilistic wind power curve modeling task …”
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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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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

“… In this article, in order to better handle this problem, a novel generative model named the conditional variational autoencoder with an adversarial training process (CVA 2 E …”
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Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling von Mu, Guoqing, Chen, Junghui

“… To deal with the typically insufficiently labeled samples involved in practical spectroscopy measurements, a conditional variational autoencoder (CVAE …”
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