Výsledky vyhledávání - "stacked convolutional autoencoder"

SCAE—Stacked Convolutional Autoencoder for Fault Diagnosis of a Hydraulic Piston Pump with Limited Data Samples Autor Eraliev, Oybek, Lee, Kwang-Hee, Lee, Chul-Hee

“… In this study, we propose a novel DL model based on a stacked convolutional autoencoder (SCAE) to address the challenge of limited data…”
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CRE-TSCAE: A Novel Classification Model Based on Stacked Convolutional Autoencoder for Dual-Target RSVP-BCI Tasks Autor Chen, Hongying, Wang, Dan, Xu, Meng, Chen, Yuanfang

“…: This paper proposed a novel classification model named Common Representation Extraction-Targeted Stacked Convolutional Autoencoder (CRE-TSCAE…”
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FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling Autor Wu, Ping, Miao, Zengdi, Wang, Ke, Gao, Jinfeng, Zhang, Xujie, Lou, Siwei, Yang, Chunjie

“… In this study, a spatio-temporal model, termed the feature-aligned stacked convolutional autoencoder with long short-term memory, is proposed to develop soft sensors for nonlinear dynamic industrial processes…”
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Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder Autor Zhu, Yi, Zhou, Xinke, Wu, Xindong

“…Unsupervised domain adaptation involves knowledge transfer from a labeled source to unlabeled target domains to assist target learning tasks. A critical aspect…”
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Medical image denoising system based on stacked convolutional autoencoder for enhancing 2-dimensional gel electrophoresis noise reduction Autor Saleh Ahmed, Aya, El-Behaidy, Wessam H., Youssif, Aliaa A.A.

“…•Stacked Convolutional Autoencoder (CAES) is proposed for denoising 2-DGE images…”
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Leveraging applied linguistics with stacked convolutional autoencoder for Arabic sentiment analysis and text-to-speech accessibility for visually impaired people Autor Selim, Mahmoud M., Assiri, Mohammed S.

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Gait Recognition Method of Underground Coal Mine Personnel Based on Densely Connected Convolution Network and Stacked Convolutional Autoencoder Autor Liu, Xiaoyang, Liu, Jinqiang

“… (DenseNet) and stacked convolutional autoencoder (SCAE). The mainstream network based on DenseNet is mainly used to learn the similarity of dynamic deep features containing spatiotemporal information in the gait pattern…”
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Structural inversion of radar emitter based on stacked convolutional autoencoder and deep neural network Autor Jiang, Yilin, Song, Yu, Zhang, Wei, Guo, Limin

“… For this reason, a radar emitter structural inversion method is proposed based on a stacked convolutional autoencoder and deep neural network (SCAE‐DNN…”
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An Improved Data Compression Framework for Wireless Sensor Networks Using Stacked Convolutional Autoencoder (S-CAE) Autor Kumble, Lithin, Patil, Kiran Kumari

“…Data compression is crucial in the networks as there is limited energy which is accessible to sensor nodes in wireless sensor networks (WSNs). The sensor nodes…”
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Research on fault diagnosis and early warning of reciprocating compressor based on stacked convolutional autoencoder optimized by gradient differential evolution Autor Li, H, Liu, XM, Mao, ZW, Zhang, JJ

“… are utilized, and an early-warning-model based on Gradient-Differential-Evolution and Stacked-Convolutional-Autoencoder is proposed…”
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Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury Autor Lee, Seung-Bo, Kim, Hakseung, Kim, Young-Tak, Zeiler, Frederick A, Smielewski, Peter, Czosnyka, Marek, Kim, Dong-Joo

“…Monitoring intracranial and arterial blood pressure (ICP and ABP, respectively) provides crucial information regarding the neurological status of patients with…”
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Stacked Convolutional Autoencoder (SCAE) for Breast Cancer Classification Autor Haryoko, Seniwati, Erni, Sasongko, Theopilus Bayu, Lukman, Achmad, Gunawan, Faris Abid

“… on artificial intelligence to address the problem of breast cancer. We propose an approach method that implements a stacked convolutional autoencoder to classify…”
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Unsupervised quantitative judgment of furnace combustion state with CBAM-SCAE-based flame feature extraction Autor Lv, You, Qi, Xinyu, Zheng, Xi, Fang, Fang, Liu, Jizhen

“…) and stacked convolutional autoencoder (SCAE), is constructed to extract combustion features from flame images…”
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A Load State Identification Method of Ball Milling Based on Particle Swarm Optimization and Stacked Convolutional Autoencoder Autor Sun, Kai, Zhang, Qiang, Lu, Cunrui, Zhang, Xiaoxu, Li, Haozhe

“…) algorithm, a stacked convolutional autoencoder(SCAE) is proposed to judge the load. Firstly, an infinite impulse response(IIR…”
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A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images Autor Chen, Huayue, Chen, Ye, Wang, Qiuyue, Chen, Tao, Zhao, Huimin

“… Therefore, the stacked convolutional autoencoder network and transfer learning strategy are employed in order to design a new stacked convolutional autoencoder network model transfer (SCAE-MT…”
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Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI Autor Ba-Alawi, Abdulrahman H., Heo, SungKu, Aamer, Hanaa, Chang, Roberto, Woo, TaeYong, Kim, MinHan, Yoo, ChangKyoo

“…Monitoring total nitrogen (TN) and total phosphorus (TP) concentrations in rivers is essential to assess the water quality and control the eutrophication risk…”
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Improving diversity and quality of adversarial examples in adversarial transformation network Autor Nguyen, Duc-Anh, Minh, Kha Do, Le, Khoi Nguyen, Nguyen, Le-Minh, Hung, Pham Ngoc

“…) including the low diversity and the low quality of adversarial examples. In order to deal with the first issue, this research proposes a stacked convolutional autoencoder based on patterns to generalize ATN…”
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Face Recognition Based on Stacked Convolutional Autoencoder and Sparse Representation Autor Chang, Liping, Yang, Jianjun, Li, Sheng, Xu, Hong, Liu, Kai, Huang, Chaogeng

“… To solve this problem, a stacked convolutional autoencoder (SCAE) based on deep learning theory is used to extract deeper features…”
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Gait recognition method of coal mine personnel based on Two-Stream neural network Autor Liu Xiaoyang, Liu Jinqiang, Zheng Haolin

“… personnel.To solve this problem, a Two-Stream neural network(TS-GAIT)gait recognition method is proposed based on the residual neural network and the stacked convolutional autoencoder…”
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基于双流神经网络的煤矿井下人员步态识别方法 Autor 刘晓阳, 刘金强, 郑昊琳

“…TP393; 人脸、指纹和虹膜等生物识别方法在井下复杂环境限制下常常比较模糊,导致基于这些生物特征的煤矿井下人员身份识别率不高.本文在残差神经网络和栈式卷积自动编码器的…”
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