Search Results - (( process application cell algorithm ) OR ( java implication based algorithm ))

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    A Collision Detection Algorithm For Virtual Robot-Centered Flexible Manufacturing Cell by Arshad, Haslina

    Published 2008
    “…This thesis presents a collision detection algorithm for accurate simulation of a virtual flexible manufacturing cell. …”
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    Thesis
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    Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi by Hanapi, Suhadiyana

    Published 2018
    “…Three alternative configurations of a vehicle system were considered namely, without DC/DC converter, with DC/DC converter on the supercapacitors side and with DC/DC converter on the PEM fuel cell side. In the process of evaluating the best system configuration, Multi-Criteria Decision Making technique (MCDM) through the Analytical Hierarchy Process (AHP), was used for evaluation, comparison and applicability assessment. …”
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    Book Section
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    Improvement of the processing of initial and final conditions of particles undergoing DEP effects in homogenous suspension using MATLAB / Noor Hidayah Amir Hassan by Noor Hidayah, Amir Hassan

    Published 2012
    “…The physiological characteristics of cell populations are being extracted from DEP spectrum which was obtained from image processing technique which previously involves histogram-based algorithm and CMIS method. …”
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    Thesis
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    Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks by Kousha, Mohammad

    Published 2014
    “…The proposed algorithm also leverages the location dependency of the joint processing. …”
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    Thesis
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    Interaction effect of process parameters and Pd-electrocatalyst in formic acid electro-oxidation for fuel cell applications: Implementing supervised machine learning algorithms by Hossain S.K.S., Ali S.S., Rushd S., Ayodele B.V., Cheng C.K.

    Published 2023
    “…Carbon nanotubes; Electrocatalysts; Electrooxidation; Forestry; Formic acid; Gaussian distribution; Learning algorithms; Palladium; Parameter estimation; Regression analysis; Support vector machines; Formic acid electrooxidation; Fuel cell application; Gaussian kernel functions; Gaussian process regression; Interaction effect; Machine learning algorithms; Performance; Process parameters; Regression trees; Support vector machine regressions; Sensitivity analysis…”
    Article
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