Search Results - noise learning based denoising autoencoder*

Noise Learning-Based Denoising Autoencoder by Lee, Woong-Hee, Ozger, Mustafa, Challita, Ursula, Sung, Ki Won

“…), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of the input data…”
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Investigation of denoising autoencoder-based deep learning model in noise-riding experimental data for reliable state-of-charge estimation by Hong, Seonri, Kang, Moses, Kim, Jonghoon, Baek, Jongbok

“… To address the performance degradation resulting from data quality deterioration, this paper introduces a denoising autoencoder is implemented as a stacked multi-layer perceptron, which learns…”
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Noise Learning Based Denoising Autoencoder by Lee, Woong-Hee, Ozger, Mustafa, Challita, Ursula, Sung, Ki Won

“…), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of the input data…”
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INTERNATIONAL PATENT: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL) FILES APPLICATION FOR "NOISE LEARNING-BASED DENOISING AUTOENCODER"

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Ultrasonic image denoising using machine learning in point contact excitation and detection method by Singh, Himanshu, Ahmed, Arif Sheikh, Melandsø, Frank, Habib, Anowarul

“… Recently, deep learning (DL) has been implemented for the reduction of noises from the signals and in images…”
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A swarm anomaly detection model for IoT UAVs based on a multi-modal denoising autoencoder and federated learning by Lu, Yu, Yang, Tao, Zhao, Chong, Chen, Wen, Zeng, Rong

“…•A multimodal denoising autoencoder has been designed to achieve multi-source heterogeneous sensor noise removal…”
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Autoencoders Based Deep Learner for Image Denoising by Bajaj, Komal, Singh, Dushyant Kumar, Ansari, Mohd. Aquib

“… Sometimes, images get infected with noise due to many reasons such as defects in camera sensors, transmission in noisy channel, faulty memory locations in the hardware etc…”
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Deep Learning-Based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients by Lai, Ying-Hui, Tsao, Yu, Lu, Xugang, Chen, Fei, Su, Yu-Ting, Chen, Kuang-Chao, Chen, Yu-Hsuan, Chen, Li-Ching, Po-Hung Li, Lieber, Lee, Chin-Hui

“…We investigate the clinical effectiveness of a novel deep learning-based noise reduction (NR…”
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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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Contrastive blind denoising autoencoder for real time denoising of industrial IoT sensor data by Langarica, Saúl, Núñez, Felipe

“… This work proposes a purely data-driven self-supervised learning-based approach, based on a blind denoising autoencoder, for real time denoising of industrial sensor data…”
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Deep denoising autoencoder-assisted continuous scoring of peak quality in high-resolution LC−MS data by Ji, Hongchao, Tian, Jing

“… Here we put forward AutoMS, which employs a deep learning-based denoising autoencoder to grasp the common characteristics of chromatographic peaks, and predict noise-deducted peaks from the original peak profiles…”
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Measurement Noise Recommendation for Efficient Kalman Filtering over a Large Amount of Sensor Data by Park, Sebin, Gil, Myeong-Seon, Im, Hyeonseung, Moon, Yang-Sae

“… In particular, if the noise parameters determined based on the user’s experience are incorrect, the accuracy of Kalman filtering may be reduced significantly…”
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Lamb wave-based damage imaging of CFRP composite structures using autoencoder and delay-and-sum by Yu, Yinghong, Liu, Xiao, Wang, Yihan, Wang, Yishou, Qing, Xinlin

“…) imaging method based on denoising autoencoder (DAE) learning is developed for complex composite structures…”
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Research on Acoustic Emission Signal Denoising Based on Autoencoder by Zhou, Jun, Yang, mei, Yin, Yue

“… Therefore, a noise denoising model of acoustic emission signal based on noise reduction autoencoder is proposed…”
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Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information by Jiang, Guoqian, Xie, Ping, He, Haibo, Yan, Jun

“… To this end, this paper proposes a new fault detector based on a recently developed unsupervised learning method, denoising autoencoder (DAE…”
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Denoising Low‐Power CEST Imaging Using a Deep Learning Approach With a Dual‐Power Feature Preparation Strategy by Kurmi, Yashwant, Viswanathan, Malvika, Yin, Leqi, Chen, You, Jiang, Xiaoyu, Xu, Junzhong, Zu, Zhongliang

“…‐based deep learning approach (DPDL), for denoising LP Z‐spectra. This method leverages the high CNR of higher saturation power and the enhanced peak resolvability of low saturation power. Methods…”
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Automatic modulation classification of radar signals utilizing X-net by Chen, Kuiyu, Zhang, Jingyi, Chen, Si, Zhang, Shuning, Zhao, Huichang

“… Owing to the X-shaped structure, the recognition network is named X-net. A residual learning convolutional denoising autoencoder (RLCDAE…”
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Improved Environment-Aware–Based Noise Reduction System for Cochlear Implant Users Based on a Knowledge Transfer Approach: Development and Usability Study by Li, Lieber Po-Hung, Han, Ji-Yan, Zheng, Wei-Zhong, Huang, Ren-Jie, Lai, Ying-Hui

“…–based noise reduction, such as noise classification and deep denoising autoencoder (NC+DDAE), can benefit the intelligibility performance of patients with cochlear implants compared to classical noise reduction algorithms…”
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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

“…In this article, a machine learning method to classify signal with Gaussian noise based on denoising auto encoder (DAE…”
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Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder by Zhao, Rui, Mao, Kezhi

“…) is developed via semantic extension of the popular deep learning model stacked denoising autoencoder (SDA…”
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