Search Results - (( variable visualization matching algorithm ) OR ( java application path algorithm ))

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  1. 1
    KNN Algorithm to Determine Optimum Agricultural Commodities in Smart Farming

    KNN Algorithm to Determine Optimum Agricultural Commodities in Smart Farming by Cucus, Ahmad, Al Fahim, Mubarak Ali, Afrig, Aminuddin, Pristyanto, Yoga, Abdulloh, Ferian Fauzi, Zafril Rizal, M. Azmi

    Published 2023
    “…The algorithm used in this research is KNN, which was chosen because the variable has a numeric data type to perform the matching. …”
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    Conference or Workshop Item
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  2. 2
    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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  3. 3
    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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  4. 4
    Mathematical snalysis of blood vessels segmentation based on three retinal images datasets

    Mathematical snalysis of blood vessels segmentation based on three retinal images datasets by Bilal, Sara Mohammed Osman Saleh, Munir, Fatin, Khalifa, Othman Omran

    Published 2014
    “…Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. In this work, three basic algorithms for segmenting retinal blood vessels, based on different image processing techniques which are Matched filter, Hough transform and Morphological operations are used and their strengths and weaknesses in terms of retinal images segmentation are compared mathematically. …”
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  5. 5
    Blood vessels segmentation based on three retinal images datasets

    Blood vessels segmentation based on three retinal images datasets by Bilal, Sara Mohammed Osman Saleh, Munir, Fatin, Karbasi, Mostafa

    Published 2016
    “…Due to the acquisition process, usually these images are non-uniformly illuminated and demonstate local lu minosity and contrast variability. Based on four image processing techniques, namely, Matched filter, Hough transform, Morphological operations and Watershed, the retinal blood vessels have been segmented. …”
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