Search Results - (( java application optimisation algorithm ) OR ( software classification matching 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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    Software metrics selection model for predicting maintainability of object-oriented software using genetic algorithms by Bakar, Abubakar Diwani

    Published 2016
    “…The study proposes the use of software metric thresholds in the classification process during the GA representation. …”
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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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    Early detection of high water saturation spots for landslide prediction using thermal image analysis by Aufa Huda, Muhammad Zin

    Published 2018
    “…There are three segmentation algorithm used in this study which are HSV, K-Means and Feature Matching. …”
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    Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control by Mohd Hanafi, Muhammad Sidik

    Published 2020
    “…This method would be a control method to activate power assist system and selected based on conditions set in the algorithm. These findings indicated that open source Arduino board is capable of running real time pattern, non-pattern recognition based control methods by producing classification accuracy up to 99.48% even though it is known as just a microcontroller that has limitation to run complex classifiers. …”
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    Auditory evoked potential in normal hearing and sensorineural hearing loss among Malay and Chinese adults / Ibrahim Amer Ibrahim by Ibrahim Amer , Ibrahim

    Published 2019
    “…This study presents accurate and novel formulated indices for classifying brain auditory responses and human hearing abilities. A classification algorithm was used to classify the CAEP responses evoked from multiple auditory stimulus for normal hearing subjects and SNHL patients in the case of both ethnicities. …”
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