Search Results - convolutional denoising autoencoder-convolutional neural network

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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Video Analytics in Train Cabin Using Deep Learning by Hsien, Lur Tze, Atmosukarto, Indriyati

“… Our proposed solution is to process extracted images from train cabin security footages using Convolutional Denoising Autoencoder-Convolutional Neural Network (CDAE-CNN…”
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Image dehazing using autoencoder convolutional neural network by Singh, Richa, Dubey, Ashwani Kumar, Kapoor, Rajiv

“… autoencoder that compress the data using machine learning and learns through Convolutional Neural Network (CNN…”
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A denoising semi-supervised deep learning model for remaining useful life prediction of turbofan engine degradation by Wang, Youming, Wang, Yue

“… To address these problems, a denoised semi-supervised model based on fully convolutional denoising autoencoder, convolutional neural network, and long short-term memory network (FCDAE-CNN-LSTM…”
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Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network by Qu, Zhiyu, Wang, Wenyang, Hou, Changbo, Hou, Chenfan

“…) and deep convolutional neural network (DCNN) is proposed in this paper. First, we use Cohen's time-frequency distribution to convert radar signals into time-frequency images (TFIs…”
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Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder by Jung, Yuyeon, Kim, Taewan, Han, Mi-Ryung, Kim, Sejin, Kim, Geunyoung, Lee, Seungchul, Choi, Youn Jin

“…Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE…”
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PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions by Zhou, Haoran, Wekesa, Jael Sanyanda, Luan, Yushi, Meng, Jun

“… Results In this study, we propose an ensemble deep learning model to predict plant lncRNA-protein interactions using stacked denoising autoencoder and convolutional neural network based on sequence…”
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Author Correction: Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder by Jung, Yuyeon, Kim, Taewan, Han, Mi-Ryung, Kim, Sejin, Kim, Geunyoung, Lee, Seungchul, Choi, Youn Jin

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Seismic Random Noise Attenuation Using a Tied-Weights Autoencoder Neural Network by Zhou, Huailai, Guo, Yangqin, Guo, Ke

“… Herein, a deep denoising convolutional autoencoder network based on self-supervised learning was developed herein to attenuate seismic random noise…”
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Competent Ultra Data Compression By Enhanced Features Excerption Using Deep Learning Techniques by Nagaraj, P., Rao, J. Surendra, Muneeswaran, V., Sudheer Kumar, A., Muthamil sudar, K.

“…%. The Convolutional LSTM model is compared with other models such as autoencoder, denoising autoencoder, convolutional neural network and our present work shows better RMSE compared to the other…”
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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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Design and development of an indoor navigation system using denoising autoencoder based convolutional neural network for visually impaired people by Akilandeswari, J., Jothi, G., Naveenkumar, A., Sabeenian, R. S., Iyyanar, P., Paramasivam, M. E.

“… of implementation, and limitations. This paper presents a denoising auto…”
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Intelligent fault diagnosis method of rolling bearing based on stacked denoising autoencoder and convolutional neural network by Che, Changchang, Wang, Huawei, Ni, Xiaomei, Fu, Qiang

“…) and convolutional neural network (CNN) is proposed in this paper. The SDAE is used to process the time series data with multiple dimensions and noise interference…”
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Intelligent Fault Diagnosis Method for Blade Damage of Quad-Rotor UAV Based on Stacked Pruning Sparse Denoising Autoencoder and Convolutional Neural Network by Yang, Pu, Wen, Chenwan, Geng, Huilin, Liu, Peng

“…This paper introduces a new intelligent fault diagnosis method based on stack pruning sparse denoising autoencoder and convolutional neural network (sPSDAE-CNN…”
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Enhancement of land-use change modeling using convolutional neural networks and convolutional denoising autoencoders by Du, Guodong, Liang, Yuan, Shin, Kong Joo, Managi, Shunsuke

“…The neighborhood effect is a key driving factor for the land-use change (LUC) process. This study applies convolutional neural networks…”
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Video surveillance image enhancement via a convolutional neural network and stacked denoising autoencoder by Che Aminudin, Muhamad Faris, Suandi, Shahrel Azmin

“… To address these issues, a deep learning image enhancement (DLIE) model is proposed. By utilizing a deep learning architecture such as a convolutional neural network (CNN…”
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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 Robust System for Noisy Image Classification Combining Denoising Autoencoder and Convolutional Neural Network by Singha, Sudipta, Imran, Sk, A., M., Murase, Kazuyuki

“…) to restore original images from noisy images and then Convolutional Neural Network (CNN) is used for classification…”
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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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Condition monitoring and performance forecasting of wind turbines based on denoising autoencoder and novel convolutional neural networks by Jia, Xiongjie, Han, Yang, Li, Yanjun, Sang, Yichen, Zhang, Guolei

“… In this study, a data-driven modelling framework based on deep convolutional neural networks is constructed for wind turbines condition monitoring (CM…”
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