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  1. 1
    Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system

    Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system by -, -

    Published 2019
    “…Generation of the layers are computationally intensive. …”
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  2. 2
    Parallel Processing of RSAAlgorithm Using MPI Library

    Parallel Processing of RSAAlgorithm Using MPI Library by Wan Dagang, Wan Rahaya

    Published 2006
    “…The scope of this project is developing a parallel system to generate public and private key, and to encrypt and decrypt files using the algorithm of RSA. …”
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  3. 3
    Contour generation for mask projection stereolithography 3D printing

    Contour generation for mask projection stereolithography 3D printing by Faeiz Azizi, Adnan

    Published 2019
    “…Generation of the layers are computationally intensive. …”
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  4. 4
    Artificial neural network model for predicting windstorm intensity and the potential damages / Mohd Fatruz Bachok

    Artificial neural network model for predicting windstorm intensity and the potential damages / Mohd Fatruz Bachok by Bachok, Mohd Fatruz

    Published 2019
    “…A predictive model was developed to provide a mechanism that can be regionally simulated, and predict low or high risk windstorm, its possible location, time, duration of the risk, intensity as well as potential damages. …”
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  5. 5
    The Development of Synthetic Algorithm of Fluid Flow Through Particle Image Velocimetry (PIV)

    The Development of Synthetic Algorithm of Fluid Flow Through Particle Image Velocimetry (PIV) by MOHD SHARFRI, RAIHAN AMALINA

    Published 2017
    “…This report discusses the interrogation performance of a cross-correlation based PIV algorithm with interrogation flexibility. In order to assess the developed algorithm, this procedure is tested with synthetic data for uniform linear flow under various experimental conditions. …”
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  6. 6
    An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms

    An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms by Alsewari, Abdulrahman A., Kamal Z., Zamli

    Published 2014
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  7. 7
    Hardware development of autonomous mobile robot based on actuating lidar

    Hardware development of autonomous mobile robot based on actuating lidar by Mohd Romlay, Muhammad Rabani, Mohd Ibrahim, Azhar, Toha, Siti Fauziah, Rashid, Muhammad Mahbubur, Ahmad, Muhammad Syahmi

    Published 2022
    “…In some applications such as navigation for blind people, sparse LiDAR point cloud are more applicable as they can be quickly generated and processed. As opposed to a point cloud generated from high-end LiDAR sensors where many algorithms have been developed for object detection, sparse LiDAR point clouds still possess large room for improvement. …”
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  8. 8
    Modified spectral clustering algorithm for semisupervised face annotation modeling

    Modified spectral clustering algorithm for semisupervised face annotation modeling by Sheng, Gao You

    Published 2025
    “…To improve accuracy, an optimized similarity matrix was developed. It also integrated MustLink (ML) and Cannot-Link (CL) constraints, generated efficiently via the Label Propagation Algorithm (LPA) enhanced by combining Share Nearest Neighbour (SNN) and Radial Basis Function (RBF). …”
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  9. 9
    Analysing the performance of classification algorithms on diseases datasets

    Analysing the performance of classification algorithms on diseases datasets by Lydia E.L., Sharmil N., Shankar K., Maseleno A.

    Published 2023
    “…The proposed research papers examine the diseases through the disease parameters and classify them using various developed intense classification algorithms such as Support Vector Machine, Decision tree, Logistic Regression, K-nearest neighbor, Naive Bayes. …”
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  10. 10
    A Pixel to Pixel Correspondence and Region of Interest in Stereo Vision Application

    A Pixel to Pixel Correspondence and Region of Interest in Stereo Vision Application by Hamzah, Rostam Affendi, A Aziz, Khairul Azha, M Shokri, Ahmad Sayuthi

    Published 2012
    “…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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  11. 11
    Survey on job scheduling mechanisms in grid environment

    Survey on job scheduling mechanisms in grid environment by S. M., Argungu, Che Mohamed Arif, Ahmad Suki, Omar, Mohd Hasbullah

    Published 2015
    “…Grid systems provide geographically distributed resources for both computational intensive and data-intensive applications.These applications generate large data sets.However, the high latency imposed by the underlying technologies; upon which the grid system is built (such as the Internet and WWW), induced impediment in the effective access to such huge and widely distributed data.To minimize this impediment, jobs need to be scheduled across grid environments to achieve efficient data access.Scheduling multiple data requests submitted by grid users onto the grid environment is NP-hard.Thus, there is no best scheduling algorithm that cuts across all grids computing environments.Job scheduling is one of the key research area in grid computing.In the recent past many researchers have proposed different mechanisms to help scheduling of user jobs in grid systems.Some characteristic features of the grid components; such as machines types and nature of jobs at hand means that a choice needs to be made for an appropriate scheduling algorithm to march a given grid environment.The aim of scheduling is to achieve maximum possible system throughput and to match the application needs with the available computing resources.This paper is motivated by the need to explore the various job scheduling techniques alongside their area of implementation.The paper will systematically analyze the strengths and weaknesses of some selected approaches in the area of grid jobs scheduling.This helps researchers better understand the concept of scheduling, and can contribute in developing more efficient and practical scheduling algorithms.This will also benefit interested researchers to carry out further work in this dynamic research area.…”
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  12. 12
    EEG-based brain source localization using visual stimuli

    EEG-based brain source localization using visual stimuli by Jatoi, M.A., Kamel, N., Malik, A.S., Faye, I., Bornot, J.M., Begum, T.

    Published 2016
    “…Various source localization algorithms have been developed to determine the exact locations of the active brain sources due to which electromagnetic activity is generated in brain. …”
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  13. 13
    Data discovery algorithm for scientific data grid environment

    Data discovery algorithm for scientific data grid environment by Abdullah, Azizol, Othman, Mohamed, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Othman, Abu Talib

    Published 2005
    “…We investigate these algorithms using our Grid Simulator developed using PARSEC. …”
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  14. 14
    Lightning damage assessment on solar panels using in-house portable infrared thermography camera with Convolutional Neural Network (CNN) algorithm

    Lightning damage assessment on solar panels using in-house portable infrared thermography camera with Convolutional Neural Network (CNN) algorithm by Chandrasegaran, Ormiila, Mustapha, Faizal, Abdullah, Mohd Na’im, Anwar, Murniwati, Mustapha, Mazli, Adzis, Zuraimy

    Published 2024
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  15. 15
    Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space

    Axis manipulation to solve Inverse Kinematics of Hyper-Redundant Robot in 3D Space by Annisa, Jamali, Sheldon Ijau, Winston

    Published 2022
    “…Initially, a general algorithm for a 2-m-link hyper-redundant robot in 3D is generated. …”
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  16. 16
    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique

    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique by Kiong T.S., Ismail M., Hassan A.

    Published 2023
    “…Adaptive antenna which has dynamic beam is better in improving the system capacity but requires more advance beam forming algorithm and requires intensive processing power. …”
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  17. 17
    QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW

    QUANTITATIVE SCHLIEREN MEASUREMENT OF 3 DIMENSIONAL TEMPERATURE, CONCENTRATION AND VELOCITY FIELDS IN A GAS FLOW by IFFA, EMISHAW DANDENA IFFA

    Published 2011
    “…The developed deflection vector estimation algorithm and optical tomography served as a tool to extract the index of refraction of the gaseous fields. …”
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  18. 18
    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique

    WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique by Tiong, Sieh Keong, Ismail, Mahamod, Hassan, Azmi

    Published 2006
    “…Adaptive antenna which has dynamic beam is better in improving the system capacity but requires more advance beam forming algorithm and requires intensive processing power. …”
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  19. 19
    An Analysis Of Multiple Size Region Of Interest In Disparity Mapping For Stereo Vision Application

    An Analysis Of Multiple Size Region Of Interest In Disparity Mapping For Stereo Vision Application by Hamzah, Rostam Affendi, Hamid, Mohd Saad, Rosly, Hasrul 'Nisham, Hashim, Nik Mohd Zarifie

    Published 2011
    “…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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  20. 20
    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem

    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

    Published 2017
    “…With the fast development of Internet-based technologies, data generation has increased drastically over the past few years, coined as big data era. …”
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