Showing 1 - 20 results of 1,934 for search '((((notification OR modification) OR justification) OR classification) OR identifications)', query time: 0.22s Refine Results
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    Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

    Published 2005
    “…In this work, a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification is proposed. A General Algorithm is employed, to engineer state justification sequences vector by vector. …”
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    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

    Published 2001
    “…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

    Published 2001
    “…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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    article
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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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    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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    COLOR IMAGE IDENTIFICATION AND RESTORATION by Al-Suwailem, Dr. Umar A.

    Published 2020
    “…Image identification involves estimating the properties of an imperfect imaging system from an observed image prior to the restoration process. …”
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