Search Results - (( developing finding pollination algorithm ) OR ( java application path algorithm ))

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  1. 1
    Smart appointment organizer for mobile application / Mohd Syafiq Adam

    Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

    Published 2009
    “…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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    Thesis
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  2. 2
    Visdom: Smart guide robot for visually impaired people

    Visdom: Smart guide robot for visually impaired people by Lee, Zhen Ting

    Published 2025
    “…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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    Final Year Project / Dissertation / Thesis
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    Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy

    Assessing optimization based strategies for t-way test suite generation: The case for flower-based strategy by Abdullah, Nasser, Sariera, Yazan A., Alsewari, Abdulrahman A., Kamal Z., Zamli

    Published 2016
    “…In order to summarize the achievements so far and facilitate future development, the main focus of this paper is, first, to present a critical comparison of adoption optimization algorithms (OA) as a basis of the t-way test suite generation strategy and, second, to propose a new t-way strategy based on Flower Pollination Algorithm, called Flower Strategy (FS). …”
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    Hyper-heuristic strategy for input-output-based interaction testing

    Hyper-heuristic strategy for input-output-based interaction testing by Din, Fakhrud, Kamal Zuhairi, Zamli

    Published 2022
    “…New strategies known as t-way strategies (where t expresses interaction strength) have been developed for finding interaction faults. However, existing t-way strategies for input-output-based relationship (IOR) interaction testing mostly adopt greedy algorithms which often generate poor quality test data. …”
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