Search Results - (( program e function algorithm ) OR ( java application optimisation algorithm ))

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    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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    Evaluation of fast evolutionary programming, firefly algorithm and mutate-cuckoo search algorithm in single-objective optimization / Muhammad Zakyizzuddin Rosselan, Shahril Irwan S... by Rosselan, Muhammad Zakyizzuddin, Sulaiman, Shahril Irwan, Othman, Norhalida

    Published 2016
    “…In this study proposes an evaluation of different computational intelligences, i.e Fast-Evolutionary Algorithm (FEP), Firefly Algorithm (FA) and Mutate-cuckoo Search Algorithm (MCSA) for solving single-objective optimization problem. …”
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    E-Raser: file shredder application with content replacement by using random words function by Mohd Nahar, Nur Farah Aqilah, Ab Rahman, Nurul Hidayah, Mohammad, Kamarudin Malik

    Published 2018
    “…Thus, this study proposed a file shredding application named E-Raser which replacing the content of the file using random words function algorithm. …”
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    Small Farmers' Decisions: Utility Versus Profit Maximization by Mohayidin, Mohd. Ghazali

    Published 1982
    “…Farmer's risk attitudes are modelled using the Cobb-Douglas, transcendental, negative exponential, and conjoint measurement utility functions. The farmers' perception of the riskiness ofaltemative crops are also measured and a quadratic programming algorithm is used to derive the most efficient expected meanvariance (E- V) frontier of each farmer. …”
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