Suchergebnisse - "Convolutional Denoising Autoencoder"

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

“… Fabric defect detection is a necessary and essential step of quality control in the textile manufacturing industry. Traditional fabric inspections are usually …”
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An Unsupervised-Learning-Based Approach for Automated Defect Inspection on Textured Surfaces von Mei, Shuang, Yang, Hua, Yin, Zhouping

“… Automated defect inspection has long been a challenging task especially in industrial applications, where collecting and labeling large amounts of defective …”
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Terahertz spectra reconstructed using convolutional denoising autoencoder for identification of rice grains infested with Sitophilus oryzae at different growth stages von Pu, Hongbin, Yu, Jingxiao, Luo, Jie, Paliwal, Jitendra, Sun, Da-Wen

“… [Display omitted] •THz-TDS technology was used to identify rice grains infested with Sitophilus oryzae at different growth stages.•CDAE was developed to …”
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CCpos: WiFi Fingerprint Indoor Positioning System Based on CDAE-CNN von Qin, Feng, Zuo, Tao, Wang, Xing

“… WiFi is widely used for indoor positioning because of its advantages such as long transmission distance and ease of use indoors. To improve the accuracy and …”
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A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM von Dasan, Evangelin, Panneerselvam, Ithayarani

“… •Compressing the signal before transmission can reduce the signal transmission cost in wearable technology.•Reduced transmission time can increase the battery …”
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Fault Diagnosis of Rolling Bearing Using Convolutional Denoising Autoencoder and Siamese Neural Network With Small Sample von Zhao, Xufeng, Chen, Ying, Yang, Mengshu, Xiang, Jiawei

“… Bearing fault diagnosis is critical for ensuring mechanical reliability and operational safety. Industrial Internet of Things (IIoT) sensors provide real-time …”
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Nocturnal low glucose detection in healthy elderly from one-lead ECG using convolutional denoising autoencoders von Porumb, Mihaela, Griffen, Corbin, Hattersley, John, Pecchia, Leandro

“… Hypoglycemia is a condition caused by low blood glucose levels, mainly affecting people with diabetes. Low levels of blood glucose can be dangerous, causing …”
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Enhanced recognition of bonding interface defects within CFRP-steel adhesive structures via thermal signals in low-power vibrothermography von Zhang, Yubin, Xu, Changhang, Liu, Pengqian, Xie, Jing, Liu, Rui, Zhao, Qing

“… Carbon fiber reinforced polymers (CFRP) have been used as one of the options to strengthen steel structures through adhesive bonding, particularly in specific …”
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Automatic modulation classification of radar signals utilizing X-net von Chen, Kuiyu, Zhang, Jingyi, Chen, Si, Zhang, Shuning, Zhao, Huichang

“… Automatic modulation classification (AMC) of radar signals has long been a challenge, especially in the area of electronic reconnaissance, where collecting and …”
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A Power System Disturbance Classification Method Robust to PMU Data Quality Issues von Li, Zikang, Liu, Hao, Zhao, Junbo, Bi, Tianshu, Yang, Qixun

“… Data quality issues exist in practical phasor measurement units (PMUs) due to communication errors or signal interferences. As a result, the performances of …”
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Assessment of flame stability through a convolutional denoising autoencoder and statistical analysis von Han, Zhezhe, Tang, Xiaoyu, Hossain, Md. Moinul, Xu, Chuanlong

“… Flame stability assessment is essential for optimizing combustion operation and improving combustion quality. However, an accurate and reliable assessment of …”
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Denoising-driven information extraction network (DENet) for Brillouin optical time-domain analyzer von Zhang, Zhihao, Zhu, Borong, Qian, Yuhao, Wang, Liang, Ma, Xiaole, Yu, Kuanglu

“… •DENet integrates denoising and information extraction for BOTDA, enabling real-time processing.•Achieves high-fidelity results on low signal-to-noise ratio …”
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Deep Spatio-Temporal Representation and Ensemble Classification for Attention Deficit/Hyperactivity Disorder von Liu, Shuaiqi, Zhao, Ling, Wang, Xu, Xin, Qi, Zhao, Jie, Guttery, David S., Zhang, Yu-Dong

“… Attention deficit/Hyperactivity disorder (ADHD) is a complex, universal and heterogeneous neurodevelopmental disease. The traditional diagnosis of ADHD relies …”
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A Robust Approach for Securing Audio Classification Against Adversarial Attacks von Esmaeilpour, Mohammad, Cardinal, Patrick, Lameiras Koerich, Alessandro

“… Adversarial audio attacks can be considered as a small perturbation unperceptive to human ears that is intentionally added to an audio signal and causes a …”
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Recognition and Localization of FBG Temperature Sensing Based on Combined CDAE and 1-DCNN von Jiang, Hong, Tang, Rui, Wang, Chenyang, Zhao, Yihan, Li, Hao

“… In quasi-distributed fiber Bragg grating (FBG) temperature sensor networks, noise and spectral distortions affect the demodulation accuracy of the fiber …”
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Intelligent FCDAE Denoiser for Reliable Decoding Over Correlated Noise Channel von Li, Yan, Lu, Huaiyin, Zhang, Lin, Chen, Jianyuan, Wu, Zhiqiang

“… In practical systems, colored noise commonly imposes on the data delivered, since the ideal white noise can hardly be achieved. In order to suppress the noise, …”
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Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder von Shi, Hongmei, Chen, Jingcheng, Si, Jin, Zheng, Changchang

“… Intelligent fault diagnosis algorithm for rolling bearings has received increasing attention. However, in actual industrial environments, most rolling bearings …”
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Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network von Qu, Zhiyu, Wang, Wenyang, Hou, Changbo, Hou, Chenfan

“… Radar signal intra-pulse modulation recognition is an important technology in electronic warfare. A radar signal intra-pulse modulation recognition method …”
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RunDAE model: Running denoising autoencoder models for denoising ECG signals von Samann, Fars, Schanze, Thomas

“… The denoising autoencoder (DAE) is commonly used to denoise bio-signals such as electrocardiogram (ECG) signals through dimensional reduction. Typically, the …”
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Optimal Compensation of MEMS Gyroscope Noise Kalman Filter Based on Conv-DAE and MultiTCN-Attention Model in Static Base Environment von Huo, Zimin, Wang, Fuchao, Shen, Honghai, Sun, Xin, Zhang, Jingzhong, Li, Yaobin, Chu, Hairong

“… Errors in microelectromechanical systems (MEMS) inertial measurement units (IMUs) are large, complex, nonlinear, and time varying. The traditional noise …”
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