Search Results - bidirectional denoising autoencoder

Bidirectional Denoising Autoencoders Based Robust Representation Learning for Underwater Acoustic Target Signal Denoising by Dong, Yafen, Shen, Xiaohong, Wang, Haiyan

“… channels, which brings adverse effects to underwater acoustic target recognition. To improve the recognition accuracy of underwater targets under background noise interference, a bidirectional denoising autoencoder (BDAE…”
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A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks by Marchi, Erik, Vesperini, Fabio, Eyben, Florian, Squartini, Stefano, Schuller, Bjorn

“… In our approach auditory spectral features are processed by a denoising autoencoder with bidirectional Long Short-Term Memory recurrent neural networks…”
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Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory by Abdelli, Khouloud, Grieser, Helmut, Tropschug, Carsten, Pachnicke, Stephan

“… To address this problem, a novel method combining a denoising convolutional autoencoder (DCAE) and a bidirectional long short-term memory…”
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A denoising autoencoder based on U-Net and bidirectional long short-term memory for multi-level random telegraph signal analysis by Deng, Bowen, Yang, HeeBong, Kim, Na Young

“… To address this challenge, we developed a novel denoising autoencoder model with U-Net and bidirectional long short-term memory (DAE UBL…”
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Study on State of Health of Power Battery Prediction Using Denoising Autoencoder and Bidirectional Long Short-Term Memory Networks by Bao, Caijilahu, Wang, Xin, Ma, Zhiqiang, Liu, Guangchen, Gao, Jundong, Gao, Wenjun

“… Firstly, feature learning and extraction of the power battery data are performed using a denoising auto encoder, which is able to extract key information and capture variations over time from the data…”
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Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory by Abdelli, Khouloud, Griesser, Helmut, Tropschug, Carsten, Pachnicke, Stephan

“… To address this problem, a novel method combining a denoising convolutional autoencoder (DCAE) and a bidirectional long short-term memory…”
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Multimodal cloud resources utilization forecasting using a Bidirectional Gated Recurrent Unit predictor based on a power efficient Stacked denoising Autoencoders by Ikhlasse, Hamzaoui, Benjamin, Duthil, Vincent, Courboulay, Hicham, Medromi

“… Toward efficient cloud instances rightsizing and scheduling, we adopt in this paper a new Bidirectional Gated Recurrent Unit predictor based on a power efficient Stacked Denoising Autoencoders…”
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Novel stacked hybrid autoencoder for imputing LISA data gaps by Mao, Ruiting, Lee, Jeong Eun, Edwards, Matthew C.

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A Bidirectional Long Short-Term Memory Autoencoder Transformer for Remaining Useful Life Estimation by Fan, Zhengyang, Li, Wanru, Chang, Kuo-Chu

“…, such as natural languages. We adopt the encoder part of the full Transformer as the backbone of our framework, integrating it with a self-supervised denoising autoencoder that utilizes bidirectional LSTM for improved feature extraction…”
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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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A dual-path interactive denoising autoencoder for removing mixed noise in multi-lead electrocardiogram signals by Zhang, Xiuxin, Chen, Meng, Li, Yongjian, Gao, Jiahui, Sun, Yiheng, Liu, Feifei, Wei, Shoushui

“… Based on the time-frequency characteristics of common noise in ECG acquisition, this study introduces the Dual-Path Interactive Denoising Autoencoder (DP-IDAE…”
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Bidirectional self-Attention Gated Recurrent Unit for Health Index Prediction of Rolling Bearings by Li, Jingwei, Li, Sai, Ding, Zhixia, Zheng, Aiai, Ye, Xuan

“… information, namely, a bidirectional gated self-attention unit. Firstly, the time-domain features of the rolling bearings life-cycle vibration data are extracted, and then fused as health index using deep denoising autoencoder…”
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Deep Learning Algorithms for Human Activity Recognition in Manual Material Handling Tasks by Bassani, Giulia, Avizzano, Carlo Alberto, Filippeschi, Alessandro

“…: Bidirectional Long Short-Term Memory (BiLSTM), Sparse Denoising Autoencoder (Sp-DAE), Recurrent Sp-DAE, and Recurrent Convolutional Neural Network (RCNN…”
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Multi-lingual handwriting recovery framework based on convolutional denoising autoencoder with attention model by Rabhi, Besma, Elbaati, Abdelkarim, Boubaker, Houcine, Pal, Umapada, Alimi, Adel M.

“… The proposed framework consists of extracting robust features from a handwriting image using a stacked denoising autoencoder and an encoder Bidirectional Gated Recurrent Unit (BGRU) model…”
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A high comprehensive performance ECG noise reduction architecture based on conditional generative adversarial net by Zeng, Ming, Tian, Lan, Liu, Guoyang, Wang, Xiaoyu, Liu, Wei, Liu, Zhaoyang, Ma, Shenghao

“… In this paper, an improved ECG denoising architecture based on bidirectional long short-term memory autoencoder (BiLSTMAE…”
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Robust prediction of remaining useful lifetime of bearings using deep learning by Magadán, L., Granda, J.C., Suárez, F.J.

“…Predicting the remaining useful lifetime (RUL) of bearings in electric motors is crucial to reduce repair costs in industrial maintenance. With the…”
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A Prediction Method for Recycling Prices Based on Bidirectional Denoising Learning of Retired Battery Surface Data by Liu, Qian, Jiang, Zhigang, Duan, Rong, Shao, Zhichao, Yan, Wei

“… Firstly, factors influencing recycling prices are selected based on self-factor and market fluctuations, a bidirectional denoising autoencoder and support vector regression model (BDAE-SVR) is established…”
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An improved pollution forecasting model with meteorological impact using multiple imputation and fine-tuning approach by Samal, K. Krishna Rani, Panda, Ankit Kumar, Babu, Korra Sathya, Das, Santos Kumar

“…Air pollution forecasting is a significant step for air quality pollution management to mitigate pollution’s negative impact on the environment and people’s…”
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A new deep federated learning model with high generalizability for electrical load forecasting against data integrity attacks by Moradzadeh, Arash, Amjady, Nima, Massoud, Ahmed M., Shah, Rakibuzzaman, Al-Emadi, Naser, Muyeen, S.M.

“… In this study, a cyber-secure forecasting model with high generalizability, which is a combination of stacked denoising autoencoder (SDAE…”
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Stochastic optimal scheduling strategy for a campus-isolated microgrid energy management system considering dependencies by Dong, Weichao, Sun, Hexu, Mei, Chunxiao, Li, Zheng, Zhang, Jingxuan, Yang, Huifang, Ding, Yinan

“…•A stochastic optimal scheduling strategy that considered dependencies was proposed.•A multilayer hybrid forecasting model achieves high wind and load forecast…”
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