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Showing 1 - 7 results of 7 for search '((motion model) OR (python code)) reduction', query time: 0.06s Refine Results
  1. 1
    Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis

    Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis by Md. Shafayet Hossain (16888833)

    Published 2022
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  2. 2
    A Two-Tier Post-Processing Framework for Lightweight Video Anomaly Detection

    A Two-Tier Post-Processing Framework for Lightweight Video Anomaly Detection by Akhtar, Muhammad Hannan

    Published 2025
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    doctoralThesis
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  3. 3
    MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network

    MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network by Sakib Mahmud (15302404)

    Published 2022
    “…The performance of the deep learning models is measured using three well-known performance matrices viz. mean absolute error (MAE)-based construction error, the difference in the signal-to-noise ratio (ΔSNR), and percentage reduction in motion artifacts (<i>η</i>). …”
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  4. 4
    Characterization and modeling of the ionomer-conductor interface in ionic polymer

    Characterization and modeling of the ionomer-conductor interface in ionic polymer by Akle, Barbar J.

    Published 2005
    “…Computing model parameters based on experimental results demonstrated that the active areas model collapses the bending data from a maximum variation of 200% for the strain per charge, to less than 68% for the model linear term. …”
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    masterThesis
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  5. 5
    Modeling of oblique penetration into geologic targets using cavity expansion penetrator loading with target free-surface effects

    Modeling of oblique penetration into geologic targets using cavity expansion penetrator loading with target free-surface effects by Tabbara, Mazen R.

    Published 2017
    “…The penetrator is modeled with the explicit dynamics, finite element computer program PRONTO 3D and the coupled pressure on the penetrator is given in a new loading option based on a separate cavity expansion (CE) solution that accounts for the pressure reduction from a nearby target free surface. …”
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  6. 6
    Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques

    Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

    Published 2017
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  7. 7
    Cloud-based deep learning-assisted system for diagnosis of sports injuries

    Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

    Published 2022
    “…Using the metrics accuracy, precision, recall, and F1-score, the performance of the proposed model is assessed and compared with current models.…”
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