Search Results - "Convolutional variational autoencoder"

Video anomaly detection and localization via Gaussian Mixture Fully Convolutional Variational Autoencoder by Fan, Yaxiang, Wen, Gongjian, Li, Deren, Qiu, Shaohua, Levine, Martin D., Xiao, Fei

“…We present a novel end-to-end partially supervised deep learning approach for video anomaly detection and localization using only normal samples. The insight…”
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Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions by 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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Hydrogeophysical Characterization of Nonstationary DNAPL Source Zones by Integrating a Convolutional Variational Autoencoder and Ensemble Smoother by 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 by 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 by 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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RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier by 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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Intrusion Detection for Blockchain‐Based Internet of Things Using Gaussian Mixture–Fully Convolutional Variational Autoencoder Model by 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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Designing Multi-Task Convolutional Variational Autoencoder for Radio Tomographic Imaging by 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 by 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 by Ning, Chunxiao, Xie, Yazhou

“…‐time Fourier transform (STFT), encodes and decodes their latent features through convolutional variational autoencoder (CVAE…”
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Dynamics-Based Peptide-MHC Binding Optimization by a Convolutional Variational Autoencoder: A Use-Case Model for CASTELO by 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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Unsupervised convolutional variational autoencoder deep embedding clustering for Raman spectra by 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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Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder by Zhang, Xiaodi, Maltbie, Eric A., Keilholz, Shella D.

“…•Variational autoencoder reveals characteristic spatiotemporal trajectories in rs-fMRI.•The trajectories are the building blocks for all spatiotemporal…”
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Application of domain-adaptive convolutional variational autoencoder for stress-state prediction by 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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Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators by Zemouri, Ryad, Levesque, Melanie, Amyot, Normand, Hudon, Claude, Kokoko, Olivier, Tahan, Souheil Antoine

“…Hydrogenerators are strategic assets for power utilities. Their reliability and availability can lead to significant benefits. For decades, monitoring and…”
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Convolutional variational autoencoder for Northeast US coastal wind and flood hazard data augmentation by Jia, Yiming, Sasani, Mehrdad

“… (wind speed and flood elevation) by leveraging convolutional variational autoencoders, a deep learning technique…”
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Non-Invasive Detection of Rotor Inter-Turn Short Circuit in Large Hydrogenerators by Using Stray Flux Measurement Combined With Convolutional Variational Autoencoder Analysis (CVAE) by Bechara, Helene, Zemouri, Ryad, Kedjar, Bachir, Merkhouf, Arezki, Al-Haddad, Kamal, Tahan, Antoine

“… The Convolutional Variational AutoEncoder (CVAE) is used to cluster signals according to the fault severity, and to visualize them in 2D space…”
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History matching of a three dimensional channelized reservoir using a beta-convolutional variational autoencoder and ensemble smoother with multiple data assimilation by Ahn, Youngbin, Choe, Jonggeun, Min, Baehyun

“… The study's scheme was divided into three stages. First, a beta-convolutional variational autoencoder network was trained using rock facies of reservoir models…”
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Convolutional variational autoencoder and multi-scale attention convolutional neural network based diagnostics on filament current sensors for mass spectrometers by 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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Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals by Criscuolo, Sabatina, Apicella, Andrea, Prevete, Roberto, Longo, Luca

“…Electroencephalography (EEG) allows the investigation of brain activity. However, neural signals often contain artefacts, hindering signal analysis. For…”
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