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  1. 1

    A new stepsize for gradient method via weak secant equation by Leong, Wah June

    Published 2007
    “…The algorithm then selects the stepsizes along the negative gradient using a new approximation of the Hessian based on the weak secant equation. …”
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    Conference or Workshop Item
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    Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm by Yazdi, H.M., Ramli Sulong, N.H.

    Published 2009
    “…In this study, a new method for designing a particular braced system by using multi-objective genetic algorithm is proposed. …”
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    Article
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    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…The key is the trigger mechanism to the algorithm. Until the advent of the Internet, encryption was rarely used by the public, but was largely a military tool. …”
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    Final Year Project
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    Moving detection using cellular neural network (CNN) by Prema Latha, Subramaniam

    Published 2008
    “…The algorithm created is used to detect the ball in the images. …”
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    Undergraduates Project Papers
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    Multistep reduced differential transform method in solving nonlinear schrodinger equations by Abdul Rahman Farhan Sabdin, Che Haziqah Che Hussin, Jumat Sulaiman, Arif Mandangan

    Published 2024
    “…This paper obtains semi-analytical solutions for the nonlinear Schrodinger equations (NLSEs) using the multistep reduced differential transform method (MsRDTM). …”
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    Article
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    Real-Time Video Processing Using Native Programming on Android Platform by Saipullah, Khairul Muzzammil

    Published 2012
    “…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
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    Conference or Workshop Item
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    Application of genetic algorithm and JFugue in an evolutionary music generator by Tang, Jia Rou

    Published 2025
    “…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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    Final Year Project / Dissertation / Thesis
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    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…We hyave used the CPU profiler of Oracle JavaTM VisualVM to monitor the execution of LRE-TL as well as USG algorithms. …”
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    Conference or Workshop Item
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    Extract Motion from Picture Sequence by MOHD SHAFIQ AHMAD DAHALAN, MOHD SHAFIQ

    Published 2008
    “…The algorithm is used as reference to create a coding input for the MATLAB, which is the software used in this project. …”
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    Final Year Project
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    Real-time algorithmic music composition application. by Yap, Alisa Yi Hui

    Published 2022
    “…This project is about the study of evolutionary music, and focuses on the development of an algorithmic music composer using the Java programming language. …”
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    Final Year Project / Dissertation / Thesis
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    Improving the performance of the FPBA algorithm using random transmitter power levels by Habaebi, Mohamed Hadi, Mohd Ali, Borhanuddin

    Published 2001
    “…To enhance the throughput of the framed pseudo-Bayesian ALOHA (FPBA) algorithm used for reservation in wireless ATM, a scheme is described in which multiple power levels are used at the transmitters. …”
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    Article
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    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…This algorithm is an exact algorithm that is specifically for finding the shortest route in a network. …”
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    Final Year Project
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    A Toolkit for Simulation of Desktop Grid Environment by FOROUSHAN, PAYAM CHINI

    Published 2014
    “…In this type of environment it is nearly impossible to prove the effectiveness of a scheduling algorithm. Hence the main objective of this study is to develop a desktop grid simulator toolkit for measuring and modeling scheduler algorithm performance. …”
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    Final Year Project
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    Memoryless modified symmetric rank-one method for large-scale unconstrained optimization by Modarres, Farzin, Abu Hassan, Malik, Leong, Wah June

    Published 2009
    “…Approach: The basic idea is to apply the modified Quasi-Newton (QN)equations, which uses both the gradients and the function values in two successive points in the frame of the scaled memoryless SR1 update, in which the modified SR1 update is reset, at every iteration, to the positive multiple of the identity matrix. …”
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    Article
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