Hasil Pencarian - Clemens Gühmann

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  1. 1
    Autoencoder-Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm

    Autoencoder-Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm oleh Jonas Kohne, Lars Henning, Clemens Guhmann

    Diterbitkan 2023-01-01
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  2. 2
    RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters

    RIANN—A Robust Neural Network Outperforms Attitude Estimation Filters oleh Daniel Weber, Clemens Gühmann, Thomas Seel

    Diterbitkan 2021-09-01
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  3. 3
    Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review

    Improvement of Generative Adversarial Network and Its Application in Bearing Fault Diagnosis: A Review oleh Diwang Ruan, Xuran Chen, Clemens Gühmann, Jianping Yan

    Diterbitkan 2023-02-01
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  4. 4
    Collaborative Optimization of CNN and GAN for Bearing Fault Diagnosis under Unbalanced Datasets

    Collaborative Optimization of CNN and GAN for Bearing Fault Diagnosis under Unbalanced Datasets oleh Diwang Ruan, Xinzhou Song, Clemens Gühmann, Jianping Yan

    Diterbitkan 2021-10-01
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  5. 5
    FranSys—A Fast Non-Autoregressive Recurrent Neural Network for Multi-Step Ahead Prediction

    FranSys—A Fast Non-Autoregressive Recurrent Neural Network for Multi-Step Ahead Prediction oleh Daniel O. M. Weber, Clemens Guhmann, Thomas Seel

    Diterbitkan 2024-01-01
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  6. 6
    Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction

    Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction oleh Diwang Ruan, Jinzhao Han, Jianping Yan, Clemens Gühmann

    Diterbitkan 2023-04-01
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  7. 7
    Bearing Digital Twin Based on Response Model and Reinforcement Learning

    Bearing Digital Twin Based on Response Model and Reinforcement Learning oleh Zhaorong Li, Jiaoying Wang, Diwang Ruan, Jianping Yan, Clemens Gühmann

    Diterbitkan 2023-11-01
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  8. 8
    Friction and Wear Monitoring Methods for Journal Bearings of Geared Turbofans Based on Acoustic Emission Signals and Machine Learning

    Friction and Wear Monitoring Methods for Journal Bearings of Geared Turbofans Based on Acoustic Emission Signals and Machine Learning oleh Noushin Mokhtari, Jonathan Gerald Pelham, Sebastian Nowoisky, José-Luis Bote-Garcia, Clemens Gühmann

    Diterbitkan 2020-03-01
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  9. 9
    The Impact of an Overlaid Ripple Current on Battery Aging: The Development of the SiCWell Dataset

    The Impact of an Overlaid Ripple Current on Battery Aging: The Development of the SiCWell Dataset oleh Erik Goldammer, Marius Gentejohann, Michael Schlüter, Daniel Weber, Wolfgang Wondrak, Sibylle Dieckerhoff, Clemens Gühmann, Julia Kowal

    Diterbitkan 2022-01-01
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