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  1. 1

    The Development Of Planar Curves With High Aesthetic Value by Rudrusamy, Gobithaasan

    Published 2010
    “…The pattern of research in this ¯eld of study has branched to ¯ve major groups; the devel- opment of fairing algorithms; the development of planar curves via curve synthesis, the development of algorithms to modify natural spirals to suit design intent, the modi¯cation of °exible curves (B¶ezier and NURBS) so that the curvature pro¯le is strictly monotonic and ¯nally, the development of algorithms to ¯t natural spirals and approximation via °exible curves.…”
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    Thesis
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    DEVELOPMENT OF DRIVER DROWSINESS DETECTION ALGORITHM by YVONNE, PHUA YEE WUN

    Published 2022
    “…To contribute to the existing works of driver drowsiness detection systems, this project aims to develop a more useful drowsiness detection algorithm with low complexity and high performance using Python 3.10.1 software. …”
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    Final Year Project Report / IMRAD
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    Mathematical formulation of tabu search in combinatorial optimization by Ismail, Zuhaimy

    Published 2008
    “…The test instances involve five to 50 nodes systematically generated similar to the real world CARP. The newly modified RTS algorithm gives a better performance than TS and (Look-Ahead Strategy) LAS method.…”
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    Monograph
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    Photovoltaic shunt active power filter based on indirect self-charging with step size error cancellation and simplified adaptive linear neuron by Mohd Zainuri, Muhammad Ammirrul Atiqi

    Published 2017
    “…In methodology, topology of PV SAPF was designed first, and followed by all control algorithms with special attention to both proposed algorithms. …”
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    Thesis
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    Utilizing of flower pollination algorithm for brushless DC motor speed controller by Motakabber, S. M. A., Zahirul Alam, A. H. M., Nordin, Anis Nurashikin, Mahmud, Md

    Published 2020
    “…If the PID controller is modified with a new algorithm, better results can be obtained from the BLDC motor. …”
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    Proceeding Paper
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    Maximizing Lifetime of Homogeneous Wireless Sensor Network through Energy Efficient Clustering Method by Hasan, Nurul

    Published 2010
    “…We introduce a candidate cluster head node on the basis of node density. We introduce a modified cluster based model by using special nodes called server nodes (SN) that is powerful in term of resources. …”
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    Citation Index Journal
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    Space vehicles dynamics and control by Mohammad Abdelrahman, Mohammad Ibraheem

    Published 2011
    “…In both modes the active magnetic control algorithms have been introduced and developed. In detumbling mode the well known minus bdot control law has been modified based upon damping the angular velocity component normal to the magnetic field direction. …”
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    Book
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    Analytical approach to unidirectional flow of non-Newtonian fluids of differential type by Abdulhameed, Mohammed

    Published 2015
    “…The solutions for the first problem were derived using Bessel transform technique while for the second problem by using a new modified homotopy perturbation transform method. For a horizontal cylinder, an unsteady third-grade fluid in a wire coating process inside a cylindrical die is developed. …”
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    Thesis
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    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

    Published 2002
    “…A vector quantization model that incorporate rough sets attribute reduction and rules generation with a modified version of the K-means clustering algorithm was developed, implemented and tested as a part of a speech recognition framework, in which the Learning Vector Quantization (LVQ) neural network model was used in the pattern matching stage. …”
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    Thesis
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    Parallel computation of maass cusp forms using mathematica by Chan, Kar Tim

    Published 2013
    “…Our parallel programme comprises of two important parts namely the pullback algorithm and also the Maass cusp form algorithm. The latter is developed using an adapted algorithm of Hejhal and Then which is based on implicit automorphy and finite Fourier series. …”
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    Thesis
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    A preliminary lightweight random forest approach-based image classification for plant disease detection by Mashitah Ibrahim, Muzaffar Hamzah, Mohammad Fadhli Asli

    Published 2022
    “…However, achieving high accuracy requires a computationally intensive approach to the system, which can cause overhead and high technical costs. Random Forest is a special kind of ensemble learning technique and it turns out to perform very well compared to other classification algorithms such as Support Vector Machines (SVM) and Artificial Neural Networks (ANN). …”
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    Conference or Workshop Item
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    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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    Thesis
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    Path Following Using A Learning Neural Network by NHH , Mohamad Hanif

    Published 2004
    “…The behaviors oflearning rates and updated weights are given special attention in this thesis. To conduct the specified works, the MATLAB programs written by [2] have been extended and modified.…”
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    Final Year Project
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