Search Results - denoising autoencoder network

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model by Mei, Shuang, Wang, Yudan, Wen, Guojun

“… This approach is used to reconstruct image patches with a convolutional denoising autoencoder network at multiple Gaussian pyramid levels and to synthesize detection results from the corresponding resolution channels…”
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A novel denoising autoencoder hybrid network for remaining useful life estimation of lithium‐ion batteries by Xia, Wei, Xu, Jinli, Liu, Baolei, Duan, Huiyun

“… To augment the precision of predicting the remaining useful life (RUL), this paper introduces a pioneering architecture for a denoising autoencoder (DAE…”
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RETRACTION: DAE‐GAN: An Autoencoder Based Adversarial Network for Gaussian Denoising

“…RETRACTION: A. Samanta, A. Saha, S. C. Satapathy, H. Lin, “DAE‐GAN: An Autoencoder Based Adversarial Network for Gaussian Denoising,” Expert Systems (Early View): e12709, https://doi.org/10.1111/exsy.12709…”
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Infrared Dim and Small Target Detection Based on Denoising Autoencoder Network by Shi, Manshu, Wang, Huan

“…) based on denoising autoencoder network and convolutional neural network, which treats small targets as “noise…”
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Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network: Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network by Zhang, Yan, Cao, Jie, Zhao, Xiaoqiang, Hui, Yongyong

“… to prediction performance. Therefore, a denoising autoencoder-Spatial Temporal Convolution Attention Fusion Network (DAE-STCAFN…”
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Deep learning for electrolysis process anode effect prediction based on long short-term memory network and stacked denoising autoencoder by Yin, Gang, Li, Yi-Hui, Yan, Fei-Ya, Quan, Peng-Cheng, Wang, Min, Cao, Wen-Qi, Xu, Heng-Quan, Lu, Jian, He, Wen

“… A stacked denoising autoencoder is utilized to denoise and extract features from a large number of long-period parameter data…”
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Molecular Dynamics Properties without the Full Trajectory: A Denoising Autoencoder Network for Properties of Simple Liquids by Moradzadeh, Alireza, Aluru, N R

“…Molecular dynamics (MD) simulation is a popularly used computational tool to compute microscopic and macroscopic properties of a variety of systems including…”
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Wind turbine generator early fault diagnosis using LSTM-based stacked denoising autoencoder network and stacking algorithm by Yan, Junshuai, Liu, Yongqian, Meng, Hang, Li, Li, Ren, Xiaoying

“… Specifically, a multivariate spatiotemporal condition monitoring model (LSDAE) was established by combining the LSTM and SDAE networks, which can detect generator early anomalies through real-time monitoring the reconstruction residual…”
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Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural network by Zhu, Kun, Zhang, Nana, Ying, Shi, Zhu, Dandan

“… Therefore, the authors propose a novel just-in-time defect prediction model named DAECNN-JDP based on denoising autoencoder and convolutional neural network in this study, which has three main advantages…”
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Temporal convolutional denoising autoencoder network for air pollution prediction with missing values by Samal, K. Krishna Rani, Babu, Korra Sathya, Das, Santos Kumar

“… These issues make air quality models more complex and challenging to introspect. So, we developed Temporal Convolutional Denoising Autoencoder (TCDA…”
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Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines by Wu, Jing, Yang, Yingfeng, Lin, Zeyu, Lin, Yizhou, Wang, Yan, Zhang, Weiwei, Ma, Hongwei

“…•The denoising autoencoder integrated with convolutional neural network has good signal denoising ability…”
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Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network by Yan, Ting, Yan, Zhenpeng, Liu, Lili, Zhang, Xiaoyu, Chen, Guohui, Xu, Feng, Li, Ying, Zhang, Lijuan, Peng, Meilan, Wang, Lu, Li, Dandan, Zhao, Dong

“…). In this study, a convolutional denoising autoencoder (DAE) network combined with the loss function of the Cox proportional hazard regression model was used to extract features for survival prediction…”
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The integration of knowledge graph convolution network with denoising autoencoder by Kaur, Gurinder, Liu, Fei, Phoebe Chen, Yi-Ping

“… In this study, we integrate the KGCN model with denoising autoencoder (DAE) to improve its recommendation performance…”
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Test of artificial neural networks in likelihood-free cosmological constraints: A comparison of information maximizing neural networks and denoising autoencoder by Chen, Jie-Feng, Wang, Yu-Chen, Zhang, Tingting, Zhang, Tong-Jie

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VLSI Architecture Design for Compact Shortcut Denoising Autoencoder Neural Network of ECG Signal by Lai, Shin-Chi, Wang, Szu-Ting, Salahuddin Morsalin, S. M., Lin, Jia-He, Hsia, Shih-Chang, Chang, Chuan-Yu, Sheu, Ming-Hwa

“… We have introduced Compact Shortcut Denoising Auto-encoder (CS-DAE) neural network, which reduces the noise from ECG signals…”
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IMATAC imputes single-cell ATAC-seq data by deep hierarchical network with denoising autoencoder by Li, Yao, Lyu, Hongqiang, Li, Kexin, Liu, Yuan, Zhang, Xinman, Liu, Ze, Jing, Pengcheng, Han, Peng

“… Herein, we propose IMATAC, a deep hierarchical network with denoising autoencoder for imputing scATAC-seq data in the form of peak by cell…”
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Robust inverse-design of scattering spectrum in core-shell structure using modified denoising autoencoder neural network by Hu, Baiqiang, Wu, Bei, Tan, Dong, Xu, Jing, Chen, Yuntian

“… circumstances that the exact target response may not exist. We introduce a modified denoising autoencoder network to ensure the robustness of neural network-based inverse design, which consists of (1…”
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RETRACTED: DAE‐GAN: An autoencoder based adversarial network for Gaussian denoising by Samanta, Abhishek, Saha, Aheli, Satapathy, Suresh Chandra, Lin, Hong

“… A denoising autoencoder has been employed as the Generator to learn image distributions and generate denoised images while the discriminator penalizes…”
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MDGN: Circuit design of memristor‐based denoising autoencoder and gated recurrent unit network for lithium‐ion battery state of charge estimation by Wang, Jiayang, Zhang, Xinghao, Han, Yifeng, Lai, Chun Sing, Dong, Zhekang, Ma, Guojin, Gao, Mingyu

“…‐based denoising autoencoder and gated recurrent unit network (MDGN) for fast and accurate SOC estimation of lithium‐ion batteries…”
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Evaluation Algorithm of Teaching Work Quality in Colleges and Universities Based on Deep Denoising Autoencoder Network by Liu, Yu

“… A novel combination of deep denoising autoencoder and support vector machine was proposed…”
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