Suchergebnisse - noise learning based denoising autoencoder

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

    ISSN: 1089-7798, 1558-2558, 1558-2558
    Veröffentlicht: New York IEEE 01.09.2021
    Veröffentlicht in IEEE communications letters (01.09.2021)
    “… ), 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 von Hong, Seonri, Kang, Moses, Kim, Jonghoon, Baek, Jongbok

    ISSN: 2352-152X, 2352-1538
    Veröffentlicht: Elsevier Ltd 25.11.2023
    Veröffentlicht in Journal of energy storage (25.11.2023)
    “… 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 von Lee, Woong-Hee, Ozger, Mustafa, Challita, Ursula, Sung, Ki Won

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 21.06.2021
    Veröffentlicht in arXiv.org (21.06.2021)
    “… ), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of the input data …”
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  4. 4

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

    ISSN: 0041-624X, 1874-9968, 1874-9968
    Veröffentlicht: Elsevier B.V 01.01.2023
    Veröffentlicht in Ultrasonics (01.01.2023)
    “… 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 von Lu, Yu, Yang, Tao, Zhao, Chong, Chen, Wen, Zeng, Rong

    ISSN: 0360-8352
    Veröffentlicht: Elsevier Ltd 01.10.2024
    Veröffentlicht in Computers & industrial engineering (01.10.2024)
    “… •A multimodal denoising autoencoder has been designed to achieve multi-source heterogeneous sensor noise removal …”
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  7. 7

    Autoencoders Based Deep Learner for Image Denoising von Bajaj, Komal, Singh, Dushyant Kumar, Ansari, Mohd. Aquib

    ISSN: 1877-0509, 1877-0509
    Veröffentlicht: Elsevier B.V 2020
    Veröffentlicht in Procedia computer science (2020)
    “… 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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  8. 8

    Contrastive blind denoising autoencoder for real time denoising of industrial IoT sensor data von Langarica, Saúl, Núñez, Felipe

    ISSN: 0952-1976, 1873-6769
    Veröffentlicht: Elsevier Ltd 01.04.2023
    Veröffentlicht in Engineering applications of artificial intelligence (01.04.2023)
    “… 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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    Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines von Wu, Jing, Yang, Yingfeng, Lin, Zeyu, Lin, Yizhou, Wang, Yan, Zhang, Weiwei, Ma, Hongwei

    ISSN: 0263-2241
    Veröffentlicht: Elsevier Ltd 01.01.2025
    “… •The denoising autoencoder integrated with convolutional neural network has good signal denoising ability …”
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    Deep denoising autoencoder-assisted continuous scoring of peak quality in high-resolution LC−MS data von Ji, Hongchao, Tian, Jing

    ISSN: 0169-7439, 1873-3239
    Veröffentlicht: Elsevier B.V 15.12.2022
    Veröffentlicht in Chemometrics and intelligent laboratory systems (15.12.2022)
    “… 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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    Lamb wave-based damage imaging of CFRP composite structures using autoencoder and delay-and-sum von Yu, Yinghong, Liu, Xiao, Wang, Yihan, Wang, Yishou, Qing, Xinlin

    ISSN: 0263-8223
    Veröffentlicht: Elsevier Ltd 01.01.2023
    Veröffentlicht in Composite structures (01.01.2023)
    “… ) imaging method based on denoising autoencoder (DAE) learning is developed for complex composite structures …”
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    Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information von Jiang, Guoqian, Xie, Ping, He, Haibo, Yan, Jun

    ISSN: 1083-4435, 1941-014X
    Veröffentlicht: IEEE 01.02.2018
    Veröffentlicht in IEEE/ASME transactions on mechatronics (01.02.2018)
    “… 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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    Blind Denoising Autoencoder von Majumdar, Angshul

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Veröffentlicht: United States IEEE 01.01.2019
    “… Dictionary learning- and transform learning-based formulations for blind denoising are well known …”
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    Deep Learning-Based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients von 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

    ISSN: 1538-4667, 1538-4667
    Veröffentlicht: United States 01.07.2018
    Veröffentlicht in Ear and hearing (01.07.2018)
    “… We investigate the clinical effectiveness of a novel deep learning-based noise reduction (NR …”
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    Journal Article
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    Research on Acoustic Emission Signal Denoising Based on Autoencoder von Zhou, Jun, Yang, mei, Yin, Yue

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: IOP Publishing 01.09.2021
    Veröffentlicht in Journal of physics. Conference series (01.09.2021)
    “… Therefore, a noise denoising model of acoustic emission signal based on noise reduction autoencoder is proposed …”
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    Measurement Noise Recommendation for Efficient Kalman Filtering over a Large Amount of Sensor Data von Park, Sebin, Gil, Myeong-Seon, Im, Hyeonseung, Moon, Yang-Sae

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Switzerland MDPI 07.03.2019
    Veröffentlicht in Sensors (Basel, Switzerland) (07.03.2019)
    “… 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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    uDAS: An Untied Denoising Autoencoder With Sparsity for Spectral Unmixing von Qu, Ying, Qi, Hairong

    ISSN: 0196-2892, 1558-0644
    Veröffentlicht: New York IEEE 01.03.2019
    Veröffentlicht in IEEE transactions on geoscience and remote sensing (01.03.2019)
    “… learning models, in specific, the autoencoder models, where the decoder serves as the endmembers and the hidden …”
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    Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising von Fan, Fenglei, Shan, Hongming, Kalra, Mannudeep K., Singh, Ramandeep, Qian, Guhan, Getzin, Matthew, Teng, Yueyang, Hahn, Juergen, Wang, Ge

    ISSN: 0278-0062, 1558-254X, 1558-254X
    Veröffentlicht: United States IEEE 01.06.2020
    Veröffentlicht in IEEE transactions on medical imaging (01.06.2020)
    “… architectures, simulating human-like learning in the form of "quadratic-neuron-based deep learning …”
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    Modulation classification based on denoising autoencoder and convolutional neural network with GNU radio von Wang, Jun, Wang, Wenfeng, Luo, Feixiang, Wei, Shaoming

    ISSN: 2051-3305, 2051-3305
    Veröffentlicht: The Institution of Engineering and Technology 01.10.2019
    Veröffentlicht in Journal of engineering (Stevenage, England) (01.10.2019)
    “… In this article, a machine learning method to classify signal with Gaussian noise based on denoising auto encoder (DAE …”
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    Bidirectional Denoising Autoencoders Based Robust Representation Learning for Underwater Acoustic Target Signal Denoising von Dong, Yafen, Shen, Xiaohong, Wang, Haiyan

    ISSN: 0018-9456, 1557-9662
    Veröffentlicht: New York IEEE 2022
    “… 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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