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  1. 1

    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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    A systematic review of Arabic text classification: areas, applications, and future directions by Wahdan, Ahlam

    Published 2023
    Subjects: “…Arabic, Text classification, Natural language processing, Systematic review…”
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    Staging classifications for hepatocellular carcinoma by Van Deusen, Mathew

    Published 2014
    “…The benefits and limitations of these classification systems are discussed in this review. Considerable controversy remains over which classification system provides the optimum staging of hepatocellular carcinoma. …”
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    article
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    Performance Prediction Using Classification by MOOLIYIL, GITA

    Published 2019
    “…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …”
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    Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

    Published 2015
    Subjects: “…Automatic Modulation Classification (AMC)…”
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    doctoralThesis
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    Automatic Plastic Bottle Classification System for Recycling by Tachwali, Yahia

    Published 2005
    “…A Master of Science Thesis in Mechatronics Engineering Submitted by Yahia Tachwali, "Automatic Plastic Bottle Classification System for Recycling," December 2005.Advisor for the Thesis is Dr. …”
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    doctoralThesis
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    Improving the Classification of Multiple Disorders with Problem Decomposition by Abdel-Aal, Radwan E.

    Published 2020
    “…Three problem decomposition scenarios are investigated, including class decomposition and two hierarchical approaches based on clinical practice and class separability properties. Two-stage classification schemes based on hierarchical decomposition boost the classification accuracy from 91% for the single-classifier monolithic approach to 99%, matching the theoretical upper limit reported in the literature for the accuracy of classifying the dataset. …”
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    article
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