Search Results - (( process iteration path algorithm ) OR ( java application learning algorithm ))

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  1. 1

    Applying Firefly Algorithm in Finding Optimized Path in PCB Holes Drilling Process by Asrani, Lit, Amar Faiz, Zainal Abidin, Muhammad Iqbal, Zakaria, Kian, Sheng Lim, M. Nasir, Ayob, Farhaana, Yakop

    Published 2011
    “…In order to minimize the distance traveled by the drill bit, Firefly Algorithm can be used. The proposed model applies Firefly Algorithm to search for the optimized path in PCB holes drilling process. …”
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    Proceeding
  2. 2

    Image Fusion for Travel Time Tomography Inversion by Liu, L., Zhao, X., Yin, X., Ashraf, M.A.

    Published 2015
    “…The travel time tomography technology had achieved wide application, the hinge of tomography was inversion algorithm, the ray path tracing technology had a great impact on the inversion results. …”
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    Article
  3. 3

    An application of Floyd-Warshall Algortihm in finding shortest path of order picker in warehouse / Saidatul Aisyah Roslan, Siti Norhakimah Mohd Yatim and Siti Sarah Sulaiman by Roslan, Saidatul Aisyah, Mohd Yatim, Siti Norhakimah, Sulaiman, Siti Sarah

    Published 2019
    “…For the result, shortest path for the order pickers in iterations. The algorithm used can help the order picker to have the shortest path, but it have no direct path. …”
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    Student Project
  4. 4

    An Integrated RRT*SMART-A* Algorithm for solving the Global Path Planning Problem in a Static Environment by Suwoyo, Heru, Adriansyah, Andi, Andika, Julpri, Ubaidillah, Abu

    Published 2023
    “…In short, by involving A*, the exploration process for generating the Smart-RRT*’s initial path can be supported. …”
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    Article
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    Path planning of UAV based on fluid computing via accelerated method by Shaliza Hayati A. Wahab, Ali Chekima, Nordin Saad, Azali Saudi

    Published 2020
    “…Existing methods are slow in computing the solutions for generating UAVs flight path. Hence, they are not suitable for real-time processing. …”
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    Article
  16. 16

    Comparison of performance and computational complexity of nonlinear active noise control algorithms by Sahib, Mouayad A., Raja Ahmad, Raja Mohd Kamil

    Published 2011
    “…Research on nonlinear active noise control (NANC) revolves around the investigation of the sources of nonlinearity as well as the performance and computational load of the nonlinear algorithms. The nonlinear sources could originate from the noise process, primary and secondary propagation paths, and actuators consisting of loudspeaker, microphone or amplifier. …”
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    Article
  17. 17

    Improvement Of Stereo Matching Algorithm Based On Sum Of Gradient Magnitude Differences And Semi-Global Method With Refinement Step by Hamzah, Rostam Affendi, Ibrahim, Haidi

    Published 2018
    “…To get over these problems,sum of gradient magnitude differences has been introduced at the first stage.This method is strong against the radio-metric differences on the stereo images.Hence,this approach will reduce the error of preliminary data for stereo corresponding process.The SGM is used at the aggregation,and optimisation stage uses 16 different directions of 2D path.Additionally,the iterative guided filter is utilised at the refinement stage which minimises the errors and increases the accuracy.The proposed work produces accurate results and performs much better compared with some established algorithms based on the standard stereo benchmarking evaluation from the Middlebury and KITTI.…”
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    Article
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    An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

    Published 2020
    “…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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    Conference or Workshop Item
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    A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

    Published 2013
    “…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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    Thesis