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  1. 1
    A new stepsize for gradient method via weak secant equation

    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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  2. 2
    Multistep reduced differential transform method in solving nonlinear schrodinger equations

    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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  3. 3
    Moving detection using cellular neural network (CNN)

    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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  4. 4
    Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm

    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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  5. 5
    IRFOC induction motor with rotor time constant estimation modelling and simulation

    IRFOC induction motor with rotor time constant estimation modelling and simulation by Radwan, E., Mariun, N., Aris, I., Bash, S. M., Yatim, Abdul Halim Mohamad

    Published 2005
    “…Purpose– To provide a new and simple inverse rotor time constant identification method which can be used to update an indirect rotor field oriented controlled (IRFOC) induction motor algorithm.Design/methodology/approach– Two different equations are used to estimate the rotor flux in the stator reference frame. …”
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  6. 6
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…The simulation is implemented with iFogSim and java programming language. …”
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  7. 7
    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing

    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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  8. 8
    Ant colony optimization algorithm for load balancing in grid computing

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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  9. 9
    Memoryless modified symmetric rank-one method for large-scale unconstrained optimization

    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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  10. 10
    Solar power profile prediction for low earth orbit satellites

    Solar power profile prediction for low earth orbit satellites by Chow, Kim Paw, Varatharajoo, Renuganth

    Published 2009
    “…This paper presents the development of algorithms using MATLAB® codes to predict the in-orbit satellite power profile. …”
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  11. 11
    Extract Motion from Picture Sequence

    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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  12. 12
    Improving the performance of the FPBA algorithm using random transmitter power levels

    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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  13. 13
    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT

    OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

    Published 2023
    “…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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  14. 14
    Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan

    Optimizing passenger before- boarding time using Queuing Theory and Dijkstra Algorithm / Nur Ariena Farhana Noor Hamizan by Noor Hamizan, Nur Ariena Farhana

    Published 2021
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  15. 15
    REAL-TIME HORN-SCHUNCK OPTICAL FLOW HARDWARE ARCHITECTURE FOR HIGH ACCURACY MOTION ESTIMATION

    REAL-TIME HORN-SCHUNCK OPTICAL FLOW HARDWARE ARCHITECTURE FOR HIGH ACCURACY MOTION ESTIMATION by RUZALI, RUZALI

    Published 2012
    “…The optical flow constraint equation of Horn-Schunck (OFCE-HS) is an algorithm used to compute motion estimation from the apparent motion of image sequences. …”
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  16. 16
    Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation

    Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation by Moh'd Radwan, Eyad Moh'd

    Published 2004
    “…In this estimation technique two different equations are used to estimate the rotor flux in the stator reference frame. …”
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  17. 17
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  18. 18
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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  19. 19
    A wavelet-based approach for vibration analysis of framed structures

    A wavelet-based approach for vibration analysis of framed structures by Mahdavi, S.H., Abdul Razak, H.

    Published 2013
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  20. 20
    Resource management in grid computing using ant colony optimization

    Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2011
    “…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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