Výsledky vyhledávání - "memory autoencoder"

Convolutional Long Short-Term Memory Autoencoder-Based Feature Learning for Fault Detection in Industrial Processes Autor Yu, Jianbo, Liu, Xing, Ye, Lyujiangnan

“… This article proposes a new deep neural network (DNN), convolutional long short-term memory autoencoder (CLSTM-AE…”
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Learning topology optimization process via convolutional long‐short‐term memory autoencoder‐decoder Autor Ma, Qiaochu, DeMeter, Edward C., Basu, Saurabh

“…This article proposed an autoencoder‐decoder architecture with convolutional long‐short‐term memory (ConvLSTM) cell for the purpose of learning topology…”
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MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection Autor Chen, Yurong, Zhang, Hui, Wang, Yaonan, Yang, Yimin, Zhou, Xianen, Wu, Q. M. Jonathan

“…Anomaly detection refers to the identification of cases that do not conform to the expected pattern, which takes a key role in diverse research areas and…”
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De-noising of transient electromagnetic data based on the long short-term memory-autoencoder Autor Wu, Sihong, Huang, Qinghua, Zhao, Li

“…SUMMARY Late-time transient electromagnetic (TEM) data contain deep subsurface information and are important for resolving deeper electrical structures…”
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Motion Artifact Removal in Functional Near‐Infrared Spectroscopy Based on Long Short‐Term Memory‐Autoencoder Model Autor Yang, Pan, Wang, Junhong, Wang, Ting, Li, Lihua, Xu, Dongjuan, Xi, Xugang

“…ABSTRACT Motion artifact removal is a critical issue in functional near‐infrared spectroscopy (fNIRS) analysis tasks, with traditional methods relying heavily…”
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Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection Autor Ma, Ziyang, Zhang, Yongshan, Lian, Yuyun, Jiang, Xinwei, Liu, Xiaobo, Cai, Zhihua

“… In this letter, we propose an HAD method based on multiscale memory autoencoder and spatial filtering, abbreviated as SFM2AE…”
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Orthogonal long short-term memory autoencoder for semi-supervised soft sensor modeling Autor Ma, Fangyuan, Ji, Cheng, Wang, Jingde, Sun, Wei, Romagnoli, Jose A.

“…Data-driven soft sensor methods are popularly applied to predict hard-to-measure variables in industrial production processes. However, in practice, the number…”
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Photovoltaic power forecasting with a long short-term memory autoencoder networks Autor Sabri, Mohammed, El Hassouni, Mohammed

“…In many developed countries, photovoltaic solar power, which is considered the most cost-effective renewable energy source, accounts for a major portion of…”
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Early weak anomaly detection and uncertainty quantification of equipment based on multi-task and multi-domain temporal memory autoencoder Autor Li, Chuanrui, Ma, Liyong

“… To address these limitations, we propose a multi-task and multi-domain temporal memory autoencoder (MTMAE…”
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Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting Autor Moon, Yeeun, Lee, Younjeong, Hwang, Yejin, Jeong, Jongpil

“…) and a Long Short-Term Memory Autoencoder (LSTM-AE) to accurately forecast power consumption…”
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A Wavelet-Based Memory Autoencoder for Noncontact Fingerprint Presentation Attack Detection Autor Liu, Yi-Peng, Yu, Hangtao, Fang, Haonan, Li, Zhanqing, Chen, Peng, Liang, Ronghua

“…Fingerprint presentation attack detection (FPAD) is essential in fingerprint identification systems. Noncontact methods such as fingerprint biometrics are…”
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Spatial-temporal generative network based on deep long short-term memory autoencoder for hand skeleton data sequences reconstruction and recognition Autor Ameur, Safa, Mahjoub, Mohamed Ali, Ben Khalifa, Anouar

“…Convolutional neural networks attract the highest research focus in the developing field of Hand Gesture Recognition (HGR). Nevertheless, these approaches…”
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Wear anomaly detection method of tunnel boring machine disc cutters based on anomaly-attention improved long short-term memory autoencoder Autor Zhang, Kai, Wang, Junren, Zheng, Qing, Ding, Guofu, Li, Zhixuan, Zhang, Zhonghua

“… Hence, this paper proposes a wear anomaly detection method for TBM disc cutters using an anomaly attention mechanism-improved long short-term memory autoencoder (Anomaly-LSTMAE) model…”
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Long short-term memory autoencoder based network of financial indices Autor Tuhin, Kamrul Hasan, Nobi, Ashadun, Rakib, Mahmudul Hasan, Lee, Jae Woo

“…We present a novel approach for analyzing financial time series data using a Long Short-Term Memory Autoencoder (LSTMAE…”
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Melt pool level flaw detection in laser hot wire directed energy deposition using a convolutional long short-term memory autoencoder Autor Abranovic, Brandon, Sarkar, Sulagna, Chang-Davidson, Elizabeth, Beuth, Jack

“…While additive manufacturing has seen rapid proliferation in recent years, process monitoring and quality assurance methods capable of detecting common flaws…”
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Monte Carlo Dropout Uncertainty Quantification of Long Short-Term Memory Autoencoder Anomaly Detection in a Liquid Sodium Cold Trap Autor Akins, Alexandra, Kultgen, Derek, Wu, Xu, Heifetz, Alexander

“…Advanced high-temperature fluid reactors, such as sodium-cooled fast reactors (SFRs) and molten salt-cooled reactors (MSCRs), require coolant purification…”
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Implementation of a Sequence-to-Sequence Stacked Sparse Long Short-Term Memory Autoencoder for Anomaly Detection on Multivariate Timeseries Data of Industrial Blower Ball Bearing Units Autor Karapalidou, Elisavet, Alexandris, Nikolaos, Antoniou, Efstathios, Vologiannidis, Stavros, Kalomiros, John, Varsamis, Dimitrios

“…, analyzed and modeled using a Sequence-to-Sequence Stacked Sparse Long Short-Term Memory Autoencoder. Specifically the right and left mounted ball bearing units…”
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Anomaly Detection in Liquid Sodium Cold Trap Operation with Multisensory Data Fusion Using Long Short-Term Memory Autoencoder Autor Akins, Alexandra, Kultgen, Derek, Heifetz, Alexander

“…Sodium-cooled fast reactors (SFR), which use high temperature fluid near ambient pressure as coolant, are one of the most promising types of GEN IV reactors…”
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MOLA: Enhancing Industrial Process Monitoring Using a Multi-Block Orthogonal Long Short-Term Memory Autoencoder Autor Ma, Fangyuan, Ji, Cheng, Wang, Jingde, Sun, Wei, Tang, Xun, Jiang, Zheyu

“…In this work, we introduce MOLA, a multi-block orthogonal long short-term memory autoencoder paradigm, to conduct accurate, reliable fault detection of industrial processes…”
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Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection Autor Lian, Yuyun, Zhang, Yongshan, Feng, Xuxiang, Jiang, Xinwei, Cai, Zhihua

“… To address these problems, in this paper, we propose a low-rank constrained memory autoencoder (LRMAE…”
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