Search Results - (( developing intensive graph algorithm ) OR ( java implication based algorithm ))

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    The nonlinear fabry-perot resonator: direct numerical integration by Chew, Khian Hooi, Tilley, D.R., Osman, J.

    Published 2001
    “…The optical polarization P, rather than the optical E field, is retained as the dynamical variable. We develop an algorithm for integration of the nonlinear wave equation in P and with addition of the nonlinear boundary conditions at the resonator surfaces we are able to find the transmission as a function of intensity and frequency. …”
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    Recent research in cooperative path planning algorithms for multi-agent using mixed- integer linear programming by Che Ku, Nor Azie Hailma, Omar, Rosli, Sabudin Elia Nadira, Sabudin Elia Nadira

    Published 2016
    “…This paper will review and compare the performances of those existing methods that can find solution without graph search algorithm such as Mixed-Integer Linear Programming (MILP) techniques which exactly solves the problem and then propose four alternative MILP formulations which are computationally less intensive and suited for real-time purposes, but yield a theoretically guaranteed suboptimal solution.…”
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    Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking by Boroujeni, Farsad Zamani

    Published 2012
    “…Over the last decade, many algorithms have been developed to address this problem. …”
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    Keyword query processing interface model of ontological natural language manipulation by Hasany, Syed Muhammad Noman

    Published 2010
    “…For the problem of conversion, techniques with fixed templates face scalability problems; while graph only techniques are processing intensive. We propose a variable template based conversion with inexpensive graph techniques to handle lengthy queries and exploring indirect connectivity among elements. …”
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    Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba by Ghulam , Mujtaba

    Published 2018
    “…These master feature vectors were fed as input to six machine learning algorithms to construct and evaluate the classification models. …”
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