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Review on classification of resonant converters for electric vehicle application
Published 2021“…However, the detailed classification of resonant converters used in EVs is not sufficiently discussed in the literature. …”
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LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
Published 2024Subjects: Get full text
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A systematic review of Arabic text classification: areas, applications, and future directions
Published 2023Subjects: “…Arabic, Text classification, Natural language processing, Systematic review…”
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Staging classifications for hepatocellular carcinoma
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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Performance Prediction Using Classification
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
Published 2015Subjects: “…Automatic Modulation Classification (AMC)…”
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Neuro-Classification for Handwritten Arabic Text
Published 2003Get full text
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Homotopic Classification of Euler-Lagrange Systems
Published 2002Get full text
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Benchmark on a large cohort for sleep-wake classification with machine learning techniques
Published 2019Subjects: -
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Automatic Plastic Bottle Classification System for Recycling
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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Group Classification of Poisson equation on Surfaces of Revolution
Published 2020Get full text
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Improving the Classification of Multiple Disorders with Problem Decomposition
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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Identification and classification of helicopters using neural nets.
Published 1998Get full text
masterThesis