Výsledky vyhledávání - convolutional variational autoencoder

Intrusion Detection for Blockchain‐Based Internet of Things Using Gaussian Mixture–Fully Convolutional Variational Autoencoder Model Autor Om Kumar, C. U., Marappan, Suguna, Murugeshan, Bhavadharini, Beaulah, P. Mercy Rajaselvi

“…ABSTRACT The Internet of Things (IoT) is an evolving paradigm that has dramatically transformed the traditional style of living into a smart lifestyle. IoT…”
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Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO Autor Bell, David R, Domeniconi, Giacomo, Yang, Chih-Chieh, Zhou, Ruhong, Zhang, Leili, Cong, Guojing

“… antigens of increased MHC-II binding affinity for a type 1 diabetes-implicated system. We build upon a small-molecule lead optimization algorithm by training a convolutional variational autoencoder (CVAE…”
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Convolutional variational autoencoder and multi-scale attention convolutional neural network based diagnostics on filament current sensors for mass spectrometers Autor Li, Xinshuo, Zhou, Wenxing, Yin, Jiancheng, Zhang, Zhen, Huang, Gang, Sheng, Yunlong, Li, Pinghua, Zhuang, Xuye

“… of the filament current sensor when the fault samples are insufficient. The improved convolutional variational autoencoder (CVAE…”
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Video anomaly detection and localization via Gaussian Mixture Fully Convolutional Variational Autoencoder Autor Fan, Yaxiang, Wen, Gongjian, Li, Deren, Qiu, Shaohua, Levine, Martin D., Xiao, Fei

“…), while anomalies either do not belong to any Gaussian component. The method is based on Gaussian Mixture Variational Autoencoder, which can learn feature representations of the normal samples as a Gaussian Mixture Model trained using deep learning…”
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Corrections to "Unsupervised Anomaly Detection of Industrial Robots Using Sliding-Window Convolutional Variational Autoencoder" Autor Chen, Tingting, Liu, Xueping, Xia, Bizhong, Wang, Wei, Lai, Yongzhi

“…Presents corrections to the above mentioned paper…”
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Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions Autor Yan, Xiaoan, She, Daoming, Xu, Yadong

“…•A novel model named DOWCVAE is proposed for bearing fault identification.•An optimizer hailed as MOGWO is introduced for parameter adaptive selection.•Our…”
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GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug–protein interaction prediction Autor Xuan, Ping, Fan, Mengsi, Cui, Hui, Zhang, Tiangang, Nakaguchi, Toshiya

“… First, a framework based on graph convolutional autoencoder is constructed to learn attention-enhanced topological embedding that integrates the topology structure…”
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Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data Autor Choi, Seung-Hwan, An, Dawn, Lee, Inho, Lee, Suwoong

“…This paper proposes a deep learning-based anomaly detection method using time-series vibration and current data, which were obtained from endurance tests on…”
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Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother Autor Kang, Xueyuan, Kokkinaki, Amalia, Kitanidis, Peter K., Shi, Xiaoqing, Lee, Jonghyun, Mo, Shaoxing, Wu, Jichun

“… We trained a convolutional variational autoencoder (CVAE) using data from multiphase modeling that captures the physics of DNAPL infiltration…”
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Unsupervised Anomaly Detection of Industrial Robots using Sliding-Window Convolutional Variational Autoencoder Autor Chen, Tingting, Liu, Xueping, Xia, Bizhong, Wang, Wei, Lai, Yongzhi

“…With growing dependence of industrial robots, a failure of an industrial robot may interrupt current operation or even overall manufacturing workflows in the…”
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Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder Autor Jang, Jong-Hwan, Kim, Tae Young, Lim, Hong-Seok, Yoon, Dukyong

“… It is difficult to manually define all ECG features. We propose an unsupervised feature learning method using a convolutional variational autoencoder (CVAE…”
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Evolving Deep Convolutional Variational Autoencoders for Image Classification Autor Chen, Xiangru, Sun, Yanan, Zhang, Mengjie, Peng, Dezhong

“…Variational autoencoders (VAEs) have demonstrated their superiority in unsupervised learning for image processing in recent years…”
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RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier Autor Remadna, Ikram, Terrissa, Labib Sadek, Al Masry, Zeina, Zerhouni, Noureddine

“… A deep convolutional variational autoencoder with an attention mechanism (ACVAE) has been developed and tested using the aero-engine C-MAPSS dataset…”
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Designing Multi-Task Convolutional Variational Autoencoder for Radio Tomographic Imaging Autor Wu, Hongzhuang, Ma, Xiaoli, Liu, Songyong

“… In this work, the received signal strength (RSS) measurements are collected from an uncalibrated network, and a multi-task convolutional variational autoencoder model is proposed to realize RTI…”
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Personalized Car-Following Strategy Based on Convolutional Variational Autoencoder and Mildly Conservative Q-Learning Autor He, Rui, Chang, Yupeng, Zhang, Sumin, Meng, Zhiwei, Li, Wenfeng

“…, where it provides advantages in interpretability and transferability. We propose a personalized car-following strategy framework based on a one-dimensional convolutional variational autoencoder (conVAE…”
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Convolutional variational autoencoder for ground motion classification and generation toward efficient seismic fragility assessment Autor Ning, Chunxiao, Xie, Yazhou

“…‐time Fourier transform (STFT), encodes and decodes their latent features through convolutional variational autoencoder (CVAE…”
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Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder Autor Zhang, Xiaodi, Maltbie, Eric A., Keilholz, Shella D.

“…•Variational autoencoder reveals characteristic spatiotemporal trajectories in rs-fMRI…”
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Application of domain-adaptive convolutional variational autoencoder for stress-state prediction Autor Lee, Sang Min, Park, Sang-Youn, Choi, Byoung-Ho

“… To achieve this transfer of knowledge, discrepancy-based unsupervised domain adaptation is adopted into a convolutional variational autoencoder structure…”
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Unsupervised convolutional variational autoencoder deep embedding clustering for Raman spectra Autor Guo, Yixin, Jin, Weiqi, Wang, Weilin, Guo, Zongyu, He, Yuqing

“… This study presents an unsupervised clustering algorithm for Raman spectra, called the convolutional variational autoencoder deep embedding clustering method (CVDE…”
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Convolutional variational autoencoder for Northeast US coastal wind and flood hazard data augmentation Autor Jia, Yiming, Sasani, Mehrdad

“… (wind speed and flood elevation) by leveraging convolutional variational autoencoders, a deep learning technique…”
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