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Showing 1 - 11 results of 11 for search '(( code image classification ) OR ( code debt classification ))', query time: 0.12s Refine Results
  1. 1
    An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

    An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge by Zaulkernan, Imran

    Published 2022
    “…Second, due to manual coding, the results are often stale by the time they get to the ecologists. …”
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  2. 2
    User-independent recognition of Arabic sign language for facilitating communication with the deaf community

    User-independent recognition of Arabic sign language for facilitating communication with the deaf community by Shanableh, Tamer

    Published 2011
    “…The prediction errors of consecutive segmented images are then accumulated into two images according to the directionality of the motion. …”
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  3. 3
    Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data

    Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

    Published 2021
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  4. 4
    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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  5. 5
    Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing

    Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing by Towheed, Mohammad Asif

    Published 2019
    “…DCT and zonal coding is then applied to these matrices to form one concise feature vector that represents a walk. …”
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  6. 6
    InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification

    InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification by Khaled Al-Thelaya (17302711)

    Published 2021
    “…We demonstrate the capabilities of our framework in the context of visual analysis and unsupervised classification of 2D histology images and 3D nuclear envelopes extracted from serial section electron microscopy stacks.…”
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  7. 7
    HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images

    HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images by Zahoor Ahmad (358103)

    Published 2025
    “…<p>We introduce an end-to-end framework for the automated visual annotation of histopathology whole slide images. Our method integrates deep learning models to achieve precise localization and classification of cell nuclei with spatial data aggregation to extend classes of sparsely distributed nuclei across the entire slide. …”
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  8. 8
    Why does the adverse effect of inappropriate MRI for LBP vary by geographic location? An exploratory analysis

    Why does the adverse effect of inappropriate MRI for LBP vary by geographic location? An exploratory analysis by Mujahed Shraim (14153145)

    Published 2019
    “…LBP cases with at least 1 day of work disability were identified by reviewing indemnity service records and medical bills using a comprehensive list of codes from the International Classification of Diseases, Ninth Edition (ICD-9) indicating LBP or nonspecific back pain, excluding medically complicated cases.…”
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  9. 9
    Oversampling techniques for imbalanced data in regression

    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…We adapt K-Nearest Neighbor Oversampling-Regression (KNNOR-Reg), originally for imbalanced classification, to address imbalanced regression in low population datasets, evolving to KNNOR-Deep Regression (KNNOR-DeepReg) for high-population datasets. …”
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  10. 10
    Face Recognition in Uncontrolled Indoor Environment

    Face Recognition in Uncontrolled Indoor Environment by Abuqaaud, Kamal Adel

    Published 2013
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  11. 11
    Data Embedding and Extraction in Scrambled Video using Machine Learning

    Data Embedding and Extraction in Scrambled Video using Machine Learning by Ahmed, Afaf Eltayeb Mohamedelbagir

    Published 2020
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