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Showing 141 - 160 results of 1,882 for search '((((modification OR modification) OR identification) OR modifications) OR classifications)', query time: 0.12s Refine Results
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    Robust Training of Social Media Image Classification Models by Firoj Alam (14158866)

    Published 2022
    Subjects: “…Social media image classification…”
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    Multi-Label Image Classification by Feature Attention Network by Zheng Yan (194231)

    Published 2019
    “…The label correlation is the key to solve the multi-label classification but it is too abstract to model. Most solutions try to learn image label dependencies to improve multi-label classification performance. …”
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    A Bayesian Approach to Feature Selection in Classification Problems by Emarly, Maher

    Published 2024
    “…A Master of Science thesis in Mathematics by Maher Emarly entitled, “A Bayesian Approach to Feature Selection in Classification Problems”, submitted in July 2024. Thesis advisor is Dr. …”
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    doctoralThesis
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    Drone/Bird Classification Based on Features of Tracks Trajectories by Kengeskanov, Maksat

    Published 2023
    “…Standard Machine Learning methods such as SVM and Random Forest are used for learning this classification. Features based on the kinematics, Gabor filter, and Gray Level Co-occurrence Matrix are utilized. …”
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    STRUCTURE IDENTIFICATION CRITERIA OF NONLINEAR-SYSTEMS VIA BISPECTRUM by Emara-Shabaik, Husam

    Published 2020
    “…These models, known in the literature as generalized Wiener-Hammerstein models, are extensively used to represent nonlinear dynamic systems,The bispectrum characteristics of the output sequence are investigated, and useful results are obtained which facilitate the structure identification of the underlying nonlinear system. Numerical examples are simulated by using noisy output measurements to illustrate the results…”
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    article
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    Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis by Sami Elzeiny (16891521)

    Published 2021
    “…This work leverages the output of wearable technology to provide automatic stress and stressor identification model. In particular, this study proposes a novel algorithm that first detects instances of stress and then classifies the stressor type using photoplethysmography (PPG) data from wearable smartwatches. …”
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