Search Results - (( java implementation path algorithm ) OR ( using guided based algorithm ))

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  1. 1

    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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    Thesis
  2. 2

    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
  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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    Article
  4. 4

    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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    Thesis
  5. 5

    Conflict-free automated guided vehicles routing using multi-objective genetic algorithm by Umar, Ali Umar, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Napsiah, Tang, Sai Hong

    Published 2013
    “…The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) for priority-based representation and parameterized uniform crossover (PUX) for random-key based representation. …”
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    Article
  6. 6

    A quick gbest guided artificial bee colony algorithm for stock market prices prediction by Shah, Habib, Tairan, Nasser, Garg, Harish, Ghazali, Rozaida

    Published 2018
    “…In this respect, in the present manuscript, we propose an algorithm based on ABC to minimize the error in the trend and actual values by using the hybrid technique based on neural network and artificial intelligence. …”
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    Article
  7. 7

    Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm. by Sulaiman, Shamsuddin, Mohd Ariffin, Mohd Khairol Anuar, Badakshian, Mostafa

    Published 2012
    “…This paper presents a job-based GA that is based on job sequencing. Through the optimization, the FLC is used to control the GAoperators (crossover and mutation rate) simultaneous to solve the AGV scheduling problem…”
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    Article
  8. 8

    Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems by Umar, Umar Ali

    Published 2014
    “…The algorithm used weight mapping crossover (WMX) and Insertion Mutation (IM) as genetic operators for sub-chromosomes represented with priority-based representation. …”
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    Thesis
  9. 9

    Landmark detection for vision based of autonomous guided vehicle by Nurul Atiqah Syazwani, Kamarudin

    Published 2012
    “…The aim of this project is to develop an algorithm for vision based AGV. Several image processing pipelines involved in this project. …”
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    Undergraduates Project Papers
  10. 10

    Positioning estimation of undetected marker using Kalman filter for colored reference markers based image-guided surgery system by Elsamnah, Fahed, Sediono, Wahju, Al Jeroudi, Yazan

    Published 2017
    “…This paper proposed an optimal estimation algorithm to be used in image-guided surgery system to estimate the position of the undetected reference markers in space. …”
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    Proceeding Paper
  11. 11

    Global gbest guided-artificial bee colony algorithm for numerical function optimization by Shah, Habib, Tairan, Nasser, Garg, Harish, Ghazali, Rozaida

    Published 2018
    “…The two well-known honeybees-based upgraded algorithms, Gbest Guided Artificial Bee Colony (GGABC) and Global Artificial Bee Colony Search (GABCS), use the foraging behavior of the global best and guided best honeybees for solving complex optimization tasks. …”
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    Article
  12. 12
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    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…Algorithm conversion to C code programming has been done throughout the project for the obstacle avoidance and path planning algorithms based upon the GA platform ofAI.…”
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    Final Year Project
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    Damage visualization based on frequency shift of single-mode ultrasound-guided wavefield by Shahrim, Muhamad Azim, Harmin, Mohammad Yazdi, Romli, Fairuz Izzuddin, Chia, Chen Ciang, Jung-Ryul, Lee

    Published 2022
    “…However, the challenge lies in the complexity of the algorithm for mode isolation. For this study, the damage visualization is performed based on frequency shift of single-mode ultrasound-guided wavefield. …”
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    Article
  17. 17

    Medical navigation based on coloured markers for image-guided surgery by Elsamnah, Fahed, Sediono, Wahju

    Published 2014
    “…As a result, medical navigation based on coloured markers contributes a promising result of Image-Guided Surgery. …”
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    Article
  18. 18

    A Hybrid Ant-Wolf Algorithm to Optimize Assembly Sequence Planning Problem by M. F. F., Ab Rashid

    Published 2017
    “…Purpose – This paper aims to optimize the assembly sequence planning (ASP) problem using a proposed hybrid algorithm based on Ant Colony Optimization (ACO) and Gray Wolf Optimizer (GWO). …”
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    Article
  19. 19

    Medical navigation based on coloured markers for image-guided surgery by Elsamnah, Fahed, Sediono, Wahju

    Published 2013
    “…As a result, medical navigation based on coloured markers contributes a promising result of image-guided surgery. …”
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    Proceeding Paper
  20. 20

    Gradient Magnitude Differences And Guided Filter For Stereo Video Matching Algorithm by Hamid, Mohd Saad, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan, Abd Gani, Shamsul Fakhar, A Aziz, Khairul Azha, Salam, Saifullah, Tg. Wook, Tg Mohd Faizal

    Published 2018
    “…This paper proposes a new stereo video matching algorithm which uses Gradient Magnitude (GM) differences and Guided Filter (GF).The radiometric and edges distortions are the problems that contribute to the quality of the results for stereo video matching algorithm.Hence,this article proposes an algorithm to reduce these problems.The first stage,the GM is utilized.The GM is strong against the radiometric distortion on an image due to different brightness on an image or between the stereo cameras.The second stage,the GF is used to improve the edges of object matching and it efficiently to remove the noise. …”
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    Article