Search Results - Convolutional denoising autoencoder (DAE)

Fault Diagnosis of Rolling Bearing Using Convolutional Denoising Autoencoder and Siamese Neural Network With Small Sample by Zhao, Xufeng, Chen, Ying, Yang, Mengshu, Xiang, Jiawei

“…) the scarcity of fault data for effective diagnostic tasks in practical scenarios. To address these issues, this article proposes a novel method termed convolutional denoising autoencoder and siamese neural network (CDAE-SNN…”
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A Power System Disturbance Classification Method Robust to PMU Data Quality Issues by Li, Zikang, Liu, Hao, Zhao, Junbo, Bi, Tianshu, Yang, Qixun

“… A new feature extraction scheme that uses the univariate temporal convolutional denoising autoencoder (UTCN-DAE) is proposed…”
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Deep Spatio-Temporal Representation and Ensemble Classification for Attention Deficit/Hyperactivity Disorder by Liu, Shuaiqi, Zhao, Ling, Wang, Xu, Xin, Qi, Zhao, Jie, Guttery, David S., Zhang, Yu-Dong

“… We propose an algorithm based on convolutional denoising autoencoder (CDAE) and adaptive boosting decision trees (AdaDT…”
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Galaxy Model Subtraction with a Convolutional Denoising Autoencoder by Liu, Rongrong, Peng, Eric W., Wang, Kaixiang, Ferrarese, Laura, Côté, Patrick

“… We build a convolutional denoising autoencoder (DAE) for galaxy model subtraction: images are compressed to a latent representation and reconstructed to yield the smooth galaxy, suppressing other objects…”
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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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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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Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network by Singh, Prateek, Sharma, Ambalika, Maiya, Shreesha

“… Denoising autoencoders (DAEs) utilising convolutional neural networks (CNNs) as backbones outperformed the other two DAE models…”
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Denoising autoencoder based topology identification in distribution systems with missing measurements by Raghuvamsi, Y., Teeparthi, Kiran, Kosana, Vishalteja

“… A temporal convolutional denoising autoencoder (TCDAE) is developed for dimensionality reduction, reconstruction of incomplete…”
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NOISY IMAGE CLASSIFICATION USING HYBRID DEEP LEARNING METHODS by Roy, Sudipta Singha, Ahmed, Mahtab, Akhand, Muhammad Aminul Haque

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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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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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ECG Noise Removal Using FCN DAE Method by Kollem, Sreedhar, Baig, Mirza Rahman, Lasya, Donthireddy, Kalyan, Eligeti Ashwad, Varma, Karre Nithin

“… To recycle pure data in its audio version, a denoising autoencoder (DAE) might be utilized. The results of experiments on ECG signals with various degrees of SNR input reveal that FCN outperforms fully connected neural network-and convolutional neural-based denoising network models significantly…”
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Hybrid Deep Learning Framework for Road Surface Classification: Integrating Autoencoder-Based Denoising and CNN-Based Classification by Kumar, Ajay, Tiwari, Raj Gaurang, Trivedi, Naresh Kumar

“…: Denoising Autoencoder(DAE) and Convolutional Denoising Autoencoder(CDAE). Proper categorization requires models that filter noise and increase visual clarity…”
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Missing-Insensitive Short-Term Load Forecasting Leveraging Autoencoder and LSTM by Park, Kyungnam, Jeong, Jaeik, Kim, Dongjoo, Kim, Hongseok

“… Specifically, autoencoder (AE), denoising autoencoder (DAE), convolutional autoencoder (CAE), and denoising convolutional autoencoder (DCAE…”
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Comparative analysis of the denoising effect of unstructured vs. convolutional autoencoders by Majeed, Sajid, Mansoor, Yusra, Qabil, Sana, Majeed, Farooq, Khan, Behraj

“… Denoising Autoencoders (DAE) and Convolutional…”
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Accurate classification of Listeria species by MALDI-TOF mass spectrometry incorporating denoising autoencoder and machine learning by Li, Yunhong, Gan, Zeyu, Zhou, Xi, Chen, Zhiwei

“…Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the pathogen of listeriosis, potentially lethal disease for humans…”
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Modulation classification based on denoising autoencoder and convolutional neural network with GNU radio by Wang, Jun, Wang, Wenfeng, Luo, Feixiang, Wei, Shaoming

“…) and convolutional neural network (CNN) is proposed. We combine denoising autoencoder's denoising ability with CNN's feature extraction capability…”
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Integration Design of Portable ECG Signal Acquisition With Deep-Learning Based Electrode Motion Artifact Removal on an Embedded System by Jhang, Yu-Syuan, Wang, Szu-Ting, Sheu, Ming-Hwa, Wang, Szu-Hong, Lai, Shin-Chi

“…) noise using the proposed low memory shortcut connection-based denoised autoencoder (LMSC-DAE). The simulation results demonstrate that the proposed algorithm significantly improves the signal-to-noise ratio…”
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A Data Augmentation-Based Method for Robust Device-Free Localization in Changing Environments of Passive Radio Frequency Identification System by Ma, Yongtao, Ning, Wanru, Wang, Bobo, Liang, Xiuyan

“… Looking at dropout as a prior-knowledge-free data augmentation operation, we propose a convolutional denoising autoencoder (DAE…”
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Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders by Chiang, Hsin-Tien, Hsieh, Yi-Yen, Fu, Szu-Wei, Hung, Kuo-Hsuan, Tsao, Yu, Chien, Shao-Yi

“… A denoising autoencoder (DAE) can be applied to reconstruct the clean data from its noisy version…”
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