Showing 121 - 140 results of 2,541 for search '((((classification OR modification) OR quantifications) OR identification) OR certifications)', query time: 0.12s Refine Results
  1. 121

    A Bayesian Approach to Feature Selection in Classification Problems by Emarly, Maher

    Published 2024
    “…Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).…”
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    doctoralThesis
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    Lung nodule classification utilizing support vector machines by Mousa, W.A.H.

    Published 2002
    “…We intend to automate the pre-processing detection process to further enhance the overall classification.…”
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    article
  6. 126

    Review on classification of resonant converters for electric vehicle application by Sheetal Deshmukh (Gore) (17148340)

    Published 2021
    “…However, the detailed classification of resonant converters used in EVs is not sufficiently discussed in the literature. …”
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    Robust Training of Social Media Image Classification Models by Firoj Alam (14158866)

    Published 2022
    Subjects: “…Social media image classification…”
  11. 131

    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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    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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