Search Results - (( bubble detection using algorithm ) OR ( java implementation path algorithm ))

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  1. 1

    Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

    Published 2017
    “…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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    Thesis
  2. 2

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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  3. 3

    Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

    Published 2021
    “…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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  4. 4

    A comprehensive comparative experiment of edge detection for OMR by Sahri, Zahriah, Othman, Zuraini, Kasmin, Fauziah, Basiron, Halizah

    Published 2022
    “…These captured images go through a few image processing steps to display the grades. Edge detection is one of the steps. This study compares different established edge detection algorithms to detect edges of interest in OMR answer sheets such as bubbles or rectangles containing the bubbles. …”
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    Article
  5. 5

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

    Published 2009
    “…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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  6. 6

    Online simulation to monitor multiphase flow using laser source as transmitter by Naizatul Shima, Mohd Fadzil, Ruzairi, Abdul Rahim, Juliza, Jamaludin, Mohd Hafiz, Fazalul Rahiman, Siti Zarina, Muji, Yasmin, Abdul Wahab

    Published 2021
    “…The voltage drop at the sensor directly shows the existence of bubbles between the transmitter and receiver. Linear Back-projection (LBP) is the algorithm that is used to reconstruct the image in real-time. …”
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    Application Of Defect Detection In Gluing Line Using Shape-Based Matching Approach by Harun, Mohamad Haniff, Mohd Annuar, Khalil Azha, Noordin, Aminurrashid, Che Hasan, Mohd Hanif, Mohd Ab Halim, Mohd Firdaus, Saealal, Muhammad Salihin, Ibrahim, Muhammad Fareq

    Published 2015
    “…This paper investigates various approaches for automated inspection of gluing process using shape-based matching application. A new supervised defect detection approach to detect gap defect, bumper defect and bubble defect in gluing application is proposed. …”
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    Conference or Workshop Item
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    Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks by Akanji, Oluwatobi Shadrach, Abisoye, Opeyemi Aderiike, Iliyasu, Mohammed Awwal

    Published 2021
    “…This study contributes to the ongoing research in detecting and mitigating slow HTTP DDoS attacks with emphasis on the use of machine learning classification and meta-heuristic algorithms.…”
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    Article
  12. 12

    3D Gluing Defect Inspection System Using Shape-Based Matching Application From Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Lim Wee, Teck, Mohd Kazim, Mohd Nor Fakhzan

    Published 2013
    “…These paper stresses on the vision algorithm used which mainly focus on the shape matching properties to identify defects occur on the product. …”
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    Article
  13. 13

    A 3D Gluing Defect Inspection System Using Shape-Based Matching Application from Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Mohamad Haniff , Harun, Lim , Wee Teck, Mohd Nor Fakhzan, Moha Kazim

    Published 2013
    “…These paper stresses on the vision algorithm used which mainly focus on the shape matching properties to identify defects occur on the product. …”
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  14. 14

    DEFECT INSPECTION SYSTEM FOR SHAPE-BASED MATCHING USING TWO CAMERAS by Sulaiman , Marizan, Shah, HNM, Harun, Mohd Hanif, Fakhzan, MN

    Published 2014
    “…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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  15. 15

    Defect Inspection System for Shape-Based Matching Using Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

    Published 2014
    “…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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    Article
  16. 16

    Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

    Published 2017
    “…The more the algorithm use in a project the better performance will be in result.…”
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    Defect Inspection System For Shape-Based Matching Using Two Cameras by Sulaiman, Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Mohd Kazim, Mohd Nor Fakhzan

    Published 2014
    “…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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    Article
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    Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning by Abuzaraida, Mustafa Ali, A. L. gaud, Sarah, Abrahim Hneish, Hamza, Attarbashi, Zainab

    Published 2026
    “…Using the YOLOv8 algorithm, a model was trained to detect and track the state of coffee in real time. …”
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    Proceeding Paper
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    Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

    Published 2019
    “…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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