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  1. 1

    Detecting Arcing Faults in Switchgear by Using Deep Learning Techniques by Mohammed Alsumaidaee Y.A., Yaw C.T., Koh S.P., Tiong S.K., Chen C.P., Tan C.H., Ali K., Balasubramaniam Y.A.L.

    Published 2024
    “…The 1D-CNN-LSTM model proved to be the most effective model for differentiating between arcing and non-arcing situations in the training, validation, and testing stages. …”
    Article
  2. 2

    Detection of arcing fault in underground distribution cable using artificial neural network by Chan, Wei Kian

    Published 2004
    “…The general aim of this study is to develop an arcing fault detection algorithm which can detect the presence of arcing fault in underground distribution cable. …”
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    Thesis
  3. 3

    Optimization of robot plasma coating efficiency using genetic algorithm and neural networks / S.Prabhu and B.K.Vinayagam by S., Prabhu, B.K., Vinayagam

    Published 2017
    “…Regression analysis are used to predict the robot coating efficiency and ANOVA analysis are used to contribute the individual process parameter on robot deposition coating efficiency. The developed mathematical model was further analyzed with Genetic algorithm to find out the optimum conditions leading to the maximum coating efficiency.…”
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    Article
  4. 4

    Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detecti... by Mohd Sayud, Nur Asikin

    Published 2018
    “…In this study, rugosity is been developed by using QPS Fledermaus software. In ArcGlS software, DEM data will be process by using terrain roughness model that has been derived by using Slope Variability algorithm. …”
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    Thesis
  5. 5

    Shear strength test on unsaturated soil using natural microscopic surface tension force / Basharudin Abdul Hadi by Abdul Hadi, Basharudin

    Published 2017
    “…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network 29 30 base of the specimen until the flow ceased..…”
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    Book Section
  6. 6

    SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid by Khalid, Khairi

    Published 2017
    “…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network script and neural network error checking measures. …”
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    Thesis
  7. 7

    Mechanical and grain growth behaviour of wire-arc additive manufacturing (WAAM) of SS316L using experiment and numerical simulation / Muhd Faiz Mat @ Muhammad by Mat @ Muhammad, Muhd Faiz

    Published 2022
    “…A grain size prediction algorithm was developed specifically for SS316L material based on free grain growth formula. …”
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    Thesis
  8. 8

    Numerical simulation and experimental verification on distortions induced by wire-arc additive manufacturing components and costing analysis / Keval Priapratama Prajadhiana by Prajadhiana, Keval Priapratama

    Published 2024
    “…On analysing the distortion effect by means of numerical computation method, a commercial specialized simulation software Simufact.Welding was used in the development of the numerical model. The development of numerical simulation model started by the geometrical modelling followed by material modelling based on real scanned material using JMATPRO. …”
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    Thesis
  9. 9

    Computer control of batch process plant (software development) by Safian, Salehudin

    Published 1995
    “…The algorithm has been successful tested using the Non-interacting Liquid Level Control of Three lank System plant models transfer function.…”
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    Student Project
  10. 10

    SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid by Khalid, Khairi

    Published 2017
    “…SWAT-CUP, which links SUFI-2 algorithm to SWAT models, has been utilized in the study for the calibration of SWAT models.…”
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    Book Section
  11. 11

    Semi-automatic oil palm tree counting from pleiades satellite imagery and airborne LiDAR / Nurul Syafiqah Khalid by Khalid, Nurul Syafiqah

    Published 2020
    “…There are three objectives, firstly, to produce tree height estimation by using the Canopy Height Model (CHM). Secondly, to develop the rule sets of watershed transformation segmentation and local maxima algorithm using Pleiades and LiDAR. …”
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    Thesis
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    Geoid determination over northern region of peninsular Malaysia / using / KTH method / Nurul Nabilah Md Yusof by Md Yusof, Nurul Nabilah

    Published 2018
    “…Geoid modelling is a process of developing mathematical algorithms to represent the geoid. …”
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    Thesis
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    Quaternion-based dynamic algorithm for random generation of solid 4D cylindrical curves in RVE modeling by Hamat, Sanusi, Ishak, Mohamad Ridzwan, Kelly, Piaras, Salit, Mohd Sapuan, Yidris, Noorfaizal, Ali, Syamir Alihan Showkat, Hussin, Mohd Sabri, Mohd Dawi, Mohd Syedi Imran

    Published 2025
    “…A quaternion‐based dynamic algorithm is developed to populate Representative Volume Elements (RVEs) with solid 4D cylindrical fibers, combining spatial centerline coordinates (x,y,z) and quaternion‐encoded orientation. …”
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    Article
  19. 19

    A region-based Principal Component Analysis (PCA) technique for medical image compression by Lim, Sin Ting

    Published 2022
    “…In an effort to improve rate-distortion performance, this work proposed a block-to-row PCA (BTRPCA) algorithm that employs the eigenvectors from the model image of the same image modality coupled with a row vectorization approach. …”
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    Thesis
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    STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.] by Ibrahim, Dzullijah, Yaakob, Yusli, Hussin, Norasikin, Samad, Zahurin

    Published 2017
    “…A hierarchical-based algorithm is used to extract the tool path data from STEP-NC tool path file of a product model. …”
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    Article