Výsledky vyhledávání - improved autoencoder

Improved autoencoder for unsupervised anomaly detection Autor Cheng, Zhen, Wang, Siwei, Zhang, Pei, Wang, Siqi, Liu, Xinwang, Zhu, En

“…Deep autoencoder‐based methods are the majority of deep anomaly detection. An autoencoder learning on training data is assumed to produce higher reconstruction…”
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Improved Autoencoder Model With Memory Module for Anomaly Detection Autor Huang, Wei, Liu, Zhen, Jin, Xiaohang, Xu, Jinshan, Yao, Xinwei

“…As a commonly used model for anomaly detection, the autoencoder model for anomaly detection does not train the objective for extracted features, which is a downside of autoencoder model…”
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Sensor anomaly detection for small modular reactors utilizing improved autoencoder Autor Zhang, Bowen, Zhu, Hao, Cheng, Shouyu, Ma, Haochen

“…•Correction of Nomenclature and Grammar: The entire manuscript was thoroughly checked, and proprietary nomenclature errors and grammar mistakes pointed out by…”
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A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation Autor Li, Mengyang, Hei, Xinhong, Ji, Wenjiang, Zhu, Lei, Wang, Yichuan, Qiu, Yuan

“…In recent years, with the rapid increase in coverage and lines, security maintenance has become one of the top concerns with regard to railway transportation…”
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An Interpretable Fault Detection Approach for Industrial Processes Based on Improved Autoencoder Autor Ma, Zhen-Lei, Li, Xiao-Jian, Nian, Fu-Qiang

“…Deep learning has recently emerged as a promising method for data-driven fault detection in industrial processes, especially autoencoders (AEs…”
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An improved autoencoder for recommendation to alleviate the vanishing gradient problem Autor Liu, Dong, Wang, Yong, Luo, Chenhong, Ma, Jun

“… of training model with the data from active users and theoretically analyze its root cause. Then, an improved autoencoder is proposed…”
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Construction and optimization of representative actual driving cycles based on the improved autoencoder Autor Zhao, Zhichao, Sun, Xilei, Wang, Xun, Wang, Yi, Fu, Jianqin, Liu, Jingping

“…In this study, much work has been performed to accurately and efficiently develop representative actual driving cycles. Electric vehicle road tests were…”
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Improved AutoEncoder With LSTM Module and KL Divergence for Anomaly Detection Autor Huang, Wei, Zhang, Bingyang, Zhang, Kaituo, Gao, Hua, Wan, Rongchun

“… To address these problems, we propose the Improved AutoEncoder with LSTM module and Kullback-Leibler divergence (IAE-LSTM-KL…”
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Parameter selection of Touzi decomposition and a distribution improved autoencoder for PolSAR image classification Autor Wang, Jianlong, Hou, Biao, Ren, Bo, Zhang, Yake, Yang, Meijuan, Wang, Shuang, Jiao, Licheng

“…Touzi decomposition provides more scattering information corresponding to parameters describing different targets. It is possible to explore the selection…”
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Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine Autor Cui, Mingliang, Wang, Youqing, Lin, Xinshuang, Zhong, Maiying

“…In recent years, autoencoder has been widely used for the fault diagnosis of mechanical equipment because of its excellent performance in feature extraction and dimension reduction…”
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Yarn-dyed fabric defect detection based on an improved autoencoder with Fourier convolution Autor Xiang, Jun, Pan, Ruru, Gao, Weidong

“… In addition, a defect detection algorithm based on Fourier convolution and a convolutional autoencoder is proposed…”
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Enhanced IoT Intrusion Detection Using an Improved Autoencoder and Adversarial Convolutional Encoders Autor Peng, Yukun, Chen, Yu

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Covert fault detection with imbalanced data using an improved autoencoder for optical networks Autor Zhang, Chunyu, Zhang, Min, Liu, Songlin, Liu, Zhuo, Wang, Danshi

“…Covert faults are characterized by the performance parameters falling within the normal range, without any observable abnormalities. These types of faults pose…”
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An improved hierarchical variational autoencoder for cell–cell communication estimation using single-cell RNA-seq data Autor Liu, Shuhui, Zhang, Yupei, Peng, Jiajie, Shang, Xuequn

“… To this end, we propose an improved hierarchical variational autoencoder (HiVAE) based model to fully use single-cell RNA-seq data for automatically estimating…”
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An improved autoencoder-based approach for anomaly detection in industrial control systems Autor Aslam, Muhammad Muzamil, Tufail, Ali, De Silva, Liyanage Chandratilak, Haji Mohd Apong, Rosyzie Anna Awg, Namoun, Abdallah

“… To overcome the research gap of high false positive rate (precision), accuracy, and computational complexity in the literature, the study presents an Improved autoencoder (ImpAE…”
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An improved autoencoder for denoising acoustic emission signals in rock fracturing Autor Wang, Tingting, Qin, Yifan, Zhao, Wanchun, Pathegama Gamage, Ranjith, Jiang, Jingyi, Du, Xuetong

“… In this study, we propose an enhanced model for denoising rock fracture AE signals, called simplified fully convolutional denoising autoencoder (SFCDAE…”
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Fault diagnosis method for multi-source heterogeneous data based on improved autoencoder Autor Zheng, Shuai, Ma, Zhiguo

“… proposes a multi-source heterogeneous data fault diagnosis method based on convolutional autoencoder (CAE…”
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Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems Autor Bi, Jing, Wang, Ziqi, Yuan, Haitao, Zhang, Jia, Zhou, MengChu

“… them may easily trap into local optima. To solve this problem, this work proposes a Self-adaptive Teaching-learning-based Optimizer with an improved Radial basis function model and a sparse Autoencoder (STORA…”
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Transfer learning based on improved stacked autoencoder for bearing fault diagnosis Autor Luo, Shuyang, Huang, Xufeng, Wang, Yanzhi, Luo, Rongmin, Zhou, Qi

“… Stacked autoencoder (SAE) has been widely employed in deep transfer learning research since it is a semi-supervised algorithm…”
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Abnormal Detection in Big Data Video with an Improved Autoencoder Autor Bian, Yihan, Tang, Xinchen

“… The detection methods using reconstruction errors based on deep autoencoders have been widely discussed…”
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