Search Results - "improved autoencoder"

Improved autoencoder for unsupervised anomaly detection by 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…”
Get full text

Improved Autoencoder Model With Memory Module for Anomaly Detection by 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…”
Get full text

A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation by 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…”
Get full text

Sensor anomaly detection for small modular reactors utilizing improved autoencoder by 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…”
Get full text

An Interpretable Fault Detection Approach for Industrial Processes Based on Improved Autoencoder by 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), which have…”
Get full text

An improved autoencoder for recommendation to alleviate the vanishing gradient problem by 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…”
Get full text

Construction and optimization of representative actual driving cycles based on the improved autoencoder by 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…”
Get full text

Improved AutoEncoder With LSTM Module and KL Divergence for Anomaly Detection by 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…”
Get full text

Parameter selection of Touzi decomposition and a distribution improved autoencoder for PolSAR image classification by 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…”
Get full text

Yarn-dyed fabric defect detection based on an improved autoencoder with Fourier convolution by Xiang, Jun, Pan, Ruru, Gao, Weidong

“…Compared with solid-colored fabrics, the textures in yarn-dyed fabric images are more complex, making the task of defect detection more challenging. To achieve…”
Get full text

Enhanced IoT Intrusion Detection Using an Improved Autoencoder and Adversarial Convolutional Encoders by Peng, Yukun, Chen, Yu

Get full text

Covert fault detection with imbalanced data using an improved autoencoder for optical networks by 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…”
Get full text

An improved autoencoder-based approach for anomaly detection in industrial control systems by 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…”
Get full text

An improved autoencoder for denoising acoustic emission signals in rock fracturing by Wang, Tingting, Qin, Yifan, Zhao, Wanchun, Pathegama Gamage, Ranjith, Jiang, Jingyi, Du, Xuetong

“…Rock fracture acoustic emission (AE) signals are commonly used non-destructive testing data in geological exploration, resource exploitation, and engineering…”
Get full text

Abnormal Detection in Big Data Video with an Improved Autoencoder by Bian, Yihan, Tang, Xinchen

“…With the rapid growth of video surveillance data, there is an increasing demand for big data automatic anomaly detection of large-scale video data. The…”
Get full text

Fault diagnosis method for multi-source heterogeneous data based on improved autoencoder by Zheng, Shuai, Ma, Zhiguo

“…In response to the difficulties in feature extraction and insufficient diagnostic accuracy of traditional fault diagnosis methods when facing complex…”
Get full text

Optimizing identification of mine water inrush source with manifold reduction and semi-supervised learning using improved autoencoder by Wang, Shichao, Zhai, Peihe, Yu, Xiaoge, Han, Jin, Shi, Longqing

“… identification model based on an improved autoencoder—the “Masked Autoencoder-based Classifier…”
Get full text

Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system by Rajapaksha, Sampath, Kalutarage, Harsha, Al-Kadri, M. Omar, Petrovski, Andrei, Madzudzo, Garikayi

“…Modern automobiles are equipped with a large number of electronic control units (ECUs) to provide safe, driver assistance and comfortable services. The…”
Get full text

Intrusion Detection Model for Industrial Internet of Things Based on Improved Autoencoder by Zhang, Wumei, Zhang, Yongzhen

“…With the gradual advancement of informatization and industrialization, the safety and controllability of industrial Internet of things (IoT) have attracted…”
Get full text

OIAE: Overall Improved Autoencoder with Powerful Image Reconstruction and Discriminative Feature Extraction by Zhao, Haifeng, Wu, Haiting, Wang, Xin

“… In this paper, we come up with a new AE, overall improved autoencoder (OIAE). Its main contribution is twofold…”
Get full text