Výsledky vyhledávání - "denoising autoencoder (dae)"

Deep learning approach for active classification of electrocardiogram signals Autor Rahhal, M.M. Al, Bazi, Yakoub, AlHichri, Haikel, Alajlan, Naif, Melgani, Farid, Yager, R.R.

“…In this paper, we propose a novel approach based on deep learning for active classification of electrocardiogram (ECG) signals. To this end, we learn a…”
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Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information Autor Jiang, Guoqian, Xie, Ping, He, Haibo, Yan, Jun

“…Data-driven approaches have gained increasing interests in the fault detection of wind turbines (WTs) due to the difficulty in system modeling and the…”
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Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks Autor Tian, Ye, Lu, Chang, Zhang, Xingyi, Tan, Kay Chen, Jin, Yaochu

“…Due to the curse of dimensionality of search space, it is extremely difficult for evolutionary algorithms to approximate the optimal solutions of large-scale…”
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Robust Monitoring and Fault Isolation of Nonlinear Industrial Processes Using Denoising Autoencoder and Elastic Net Autor Yu, Wanke, Zhao, Chunhui

“…Robust process monitoring and reliable fault isolation in industrial processes usually encounter different challenges, including process nonlinearity and noise…”
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A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application Autor Yan, Weiwu, Tang, Di, Lin, Yujun

“…Soft sensors have been widely used in industrial processes. The core issue of data-driven soft sensors is building soft sensor models with excellent…”
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Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes Autor Ou, Chen, Zhu, Hongqiu, Shardt, Yuri A. W., Ye, Lingjian, Yuan, Xiaofeng, Wang, Yalin, Yang, Chunhua, Gui, Weihua

“…Missing values are a common occurrence in industrial datasets, resulting from the multiple sampling rates, sensor malfunctions, and transmission errors, whose…”
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Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification Autor Singh, Prateek, Sharma, Ambalika

“…This article presents a fast and accurate electrocardiogram (ECG) denoising and classification method for low-quality ECG signals. To achieve this, a novel…”
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Spiking Neural Network Using Synaptic Transistors and Neuron Circuits for Pattern Recognition With Noisy Images Autor Kim, Hyungjin, Hwang, Sungmin, Park, Jungjin, Yun, Sangdoo, Lee, Jong-Ho, Park, Byung-Gook

“…We demonstrate the hardware implementation of spiking neural network (SNN) with synaptic transistors and neuron circuits. The method of conversion from…”
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Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders Autor Jiang, Ke, Jiang, Zhaohui, Xie, Yongfang, Pan, Dong, Gui, Weihua

“…Accurate monitoring of abnormalities is of great significance to the stable operation of the blast furnace ironmaking process. This article proposes a…”
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Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation Autor Wu, Fan, Luo, Haiyong, Jia, Hongwei, Zhao, Fang, Xiao, Yimin, Gao, Xile

“…In the recent years, the availability of accurate vehicle position becomes more urgent. The global navigation satellite systems/inertial navigation system…”
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Classification of silicon content variation trend based on fusion of multilevel features in blast furnace ironmaking Autor Jiang, Ke, Jiang, Zhaohui, Xie, Yongfang, Chen, Zhipeng, Pan, Dong, Gui, Weihua

“…•A data-driven model is proposed based on multilevel features fusion to classify the variation trend of silicon content.•Multilevel features are extracted…”
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Heart rate estimation for U-Net and LSTM models combining multiple attention mechanisms Autor Li, Ahui, Cai, Jun

“…•Innovative DRL-Unet Framework:○Combines Denoising Autoencoders, U-Net, LSTM, and Multi-Head Attention for heart rate estimation in complex noise…”
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Prediction of Multiple Molten Iron Quality Indices in the Blast Furnace Ironmaking Process Based on Attention-wise Deep Transfer Network Autor Jiang, Ke, Jiang, Zhaohui, Xie, Yongfang, Pan, Dong, Gui, Weihua

“…Molten iron quality (MIQ) indices prediction based on data-driven models is an important way to monitor product quality and smelting status in the blast…”
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Multifault Feature Wasserstein Generative Adversarial Networks for Fault Diagnosis in Unbalanced Data Autor Ren, Weibo, Wang, Zhijian, Chen, Zhongxin, Zhao, Shun, Dong, Lei, Li, Yanfeng, Fan, Xin

“…Due to the limitation of industrial conditions in production, raw sensor data are always shown as an unbalanced dataset, characterized by abundant normal…”
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Robust remaining useful life prediction of lithium-ion battery with convolutional denoising autoencoder Autor Yuliani, Asri Rizki, Pardede, Hilman Ferdinandus, Ramdan, Ade, Zilvan, Vicky, Yuwana, Raden Sandra, Amri, M Faizal, Kusumo, R. Budiarianto Suryo, Pramanik, Subrata

“…Using lithium-ion (Li-ion) batteries exceeding their useful lifetime may be dangerous for users, and hence, developing an accurate prediction system for…”
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A Twice Denoising Autoencoder Framework for Random Seismic Noise Attenuation Autor Liao, Zhangquan, Li, Yong, Xia, En, Liu, Yingtian, Hu, Rui

“…Many seismic denoising algorithms are easily trapped in the dilemma of signal leaking and noise remaining. However, between the two situations, more complex…”
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Segmentation Is Not the End of Road Extraction: An All-Visible Denoising Autoencoder for Connected and Smooth Road Reconstruction Autor Han, Lingyi, Hou, Lu, Zheng, Xiangxiang, Ding, Ziyue, Yang, Haojun, Zheng, Kan

“…With a plethora of remote sensing (RS) images, deep neural network-based semantic segmentation model (SegModel) achieves commendable road extraction…”
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A Data Augmentation-Based Method for Robust Device-Free Localization in Changing Environments of Passive Radio Frequency Identification System Autor Ma, Yongtao, Ning, Wanru, Wang, Bobo, Liang, Xiuyan

“…Device-free localization (DFL) is playing a critical role in many applications which do not require any device attached to the target. Because of environmental…”
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A Self-Supervised Contrastive Denoising Autoencoder-Based Noise Suppression Method for Micro Thrust Measurement Signals Processing Autor Chen, Xingyu, Zhao, Liye, Xu, Jiawen, Liu, Zhikang, Zhang, Chengxin, Xu, Luxiang, Guo, Ning

“…Noise suppression is of great significance in high-precision micro thrust calibration and measurement. Existing methods cannot simultaneously recover both the…”
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Optimization of Energy Resolution in Topmetal-II‾ Pixel Detector: An Exploration of Neural Network and Curve-Fitting Strategies Autor Fang, Ni, Wang, Dong, Zhou, Zhuo, Liu, Huidi, Wang, Hui, Zhou, Shiqiang, Chen, Ran

“…This study aims to enhance the energy resolution of the Topmetal-II<inline-formula> <tex-math notation="LaTeX">^{-} </tex-math></inline-formula> pixel…”
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