Search Results - (( java implementation path algorithm ) OR ( using network matching 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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    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

    Speedy derivative-corrective mass spring algorithm for adaptive impedance matching networks by Wong, Yan Chiew, Arslan, Tughrul S., Erdogan, Ahmet T., Haridas, Nakul, El-Rayis, Ahmed O.

    Published 2012
    “…Adaptive impedance matching algorithms are used to preserve the link quality of mobile phones, under fluctuating user conditions. …”
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    Article
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    Multithreaded Scalable Matching Algorithm For Intrusion Detection Systems by Hnaif, Adnan Ahmad Abdelfattah

    Published 2010
    “…Hence, this thesis defines a new algorithm called the Distributed Packet Header Matching algorithm (DPHM), and a New Network Intrusion Detection Systems (NNIDS) platform using hybrid technology in order to increase the overall performance of SNORT-NIDS.…”
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    Thesis
  7. 7
  8. 8

    Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference by Hamid, Mohd Saad, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan

    Published 2021
    “…Hence, this article proposes a new stereo matching algorithm based on a hybrid Convolutional Neural Network (CNN) combined with directional intensity differences at the matching cost stage. …”
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    Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks by Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

    Published 2017
    “…For coalition formation using matching theory, we analyze two algorithms, namely Gale-Shapely algorithm and one-sided stable matching algorithm. …”
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    Proceeding Paper
  11. 11

    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
  12. 12

    A new function of stereo matching algorithm based on hybrid convolutional neural network by Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Abd Gani, Shamsul Fakhar, Herman, Adi Irwan

    Published 2022
    “…This paper proposes a new hybrid method between the learning-based and handcrafted methods for a stereo matching algorithm. The main purpose of the stereo matching algorithm is to produce a disparity map. …”
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    Article
  13. 13

    Throughput enhancement in cognitive radio network via coalition formation using matching theory by Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

    Published 2015
    “…Index Terms—cognitive radio; spectrum sensing; distributed algorithms; stable matching, matching theory.…”
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    Proceeding Paper
  14. 14
  15. 15

    A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy by Dewandaru, Agung, Md Said, Abas, Matori, A. N.

    Published 2008
    “…Satellite-based Vehicle Tracking System accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. …”
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  16. 16

    Artificial neural network and inverse solution method for assisted history matching of a reservoir model by Negash, B.M., Vel, A., Elraies, K.A.

    Published 2017
    “…This allows to directly simulate the trained neural network and avoid the use of objective function and optimization algorithm. …”
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    Article
  17. 17

    Converged Classification Network For Matching Cost Computation by Hamid, Mohd Saad, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan

    Published 2020
    “…Overall quantitative results for the proposed work performed competitively compared to other established stereo matching algorithm based on the Middlebury standard benchmark online system.…”
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    Article
  18. 18

    Partial Binary Tree Network (Pbtn): A New Dynamic Element Matching (Dem) Approach To Current Steering Digital Analog Converter (Dac) by Teh , Choon Yan

    Published 2014
    “…Dynamic Element Matching (DEM) is one of the techniques that are commonly used to reduce component mismatch error. …”
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    Thesis
  19. 19

    Coalition formation for throughput enhancement via one-sided matching theory by Md Tahir, Mohammad Hazwan, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

    Published 2016
    “…We prove that the proposed algorithm leads to stable coalition formation in the cognitive radio network and show using simulations that the proposed matching algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to the non-cooperative scenario…”
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    Proceeding Paper
  20. 20

    Coalition formation for throughput enhancement via one-sided matching theory by Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

    Published 2016
    “…We prove that the proposed algorithm leads to stable coalition formation in the cognitive radio network and show using simulations that the proposed matching algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to the non-cooperative scenario.…”
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    Proceeding Paper