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  1. 1
    Early detection of breast cancer using wave elliptic equation with high performance computing

    Early detection of breast cancer using wave elliptic equation with high performance computing by Alias, Norma, Rosly, Nur Syazana, Satam, Noriza, A. Ghaffar, Zarith Safiza, Islam, Md. Rajibul

    Published 2008
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  2. 2
    A parallel ensemble learning model for fault detection and diagnosis of industrial machinery

    A parallel ensemble learning model for fault detection and diagnosis of industrial machinery by Shing, Chiang Ta, Mohammed Al-Andoli, Mohammed Nasser, Kok, Swee Sim, Seera, Manjeevan, Chee, Peng Lim

    Published 2023
    “…Accordingly, this paper proposes a new parallel ensemble model comprising hybrid machine and deep learning for undertaking FDD tasks. …”
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  3. 3
    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System

    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System by Ali, Mohammed Hasan, Mohamed Fadli, Zolkipli

    Published 2019
    “…The approach was tested on the KDD Cup99 intrusion detection dataset and the results proved the proposed PSO-RKFLN as an accurate, reliable, and effective classification algorithm.…”
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  4. 4
    Parallel visualization approach of a 3D heart model

    Parallel visualization approach of a 3D heart model by Malekpour, A., Ling, T.C., Lim, W.C.

    Published 2008
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  5. 5
    Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing

    Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing by Jaber, Aws Naser, Mohamad Fadli, Zolkipli, Shakir, Hasan Awni

    Published 2018
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  6. 6
    Active contour model on digital mammograms using low-cost parallel computing systems

    Active contour model on digital mammograms using low-cost parallel computing systems by Ibrahim, Arsmah, Alias, Norma, Sulaiman, Hanifah, Yasiran, Siti Salmah

    Published 2009
    “…In this experiment the active contour algorithm is implemented in tracing the icrocalcifications. …”
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  7. 7
    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things

    Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

    Published 2022
    “…Therefore, the core classifier in the hyper-heuristic approach of Intrusion Detection System (IDS) is developed to the parallel structure NN. …”
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  8. 8
    New CFAR algorithm and circuit development for radar receiver

    New CFAR algorithm and circuit development for radar receiver by Kamal, Mustafa Subhi

    Published 2020
    “…All these algorithms are simulated using MATLAB and applied them to three different clutter models that represent different environment cases. …”
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  9. 9
    A security payment model for financial payment using mykad

    A security payment model for financial payment using mykad by Ahmad Zahari, Nurul Huda

    Published 2011
    “…However, if attack or intrusion is detected in less than 30 minutes, ARSA will automatically change the security algorithm to a new one. …”
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  10. 10
    Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection

    Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection by Yong, Guang

    Published 2019
    “…The FBTS integrated with automated edge-preserving regularization algorithm is implemented in C++ programming language executed in parallel computing. …”
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  11. 11
    Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions

    Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions by Hajighorbani, Shahrooz

    Published 2016
    “…Interestingly, the experimental results under different irradiances also show that the proposed algorithm can detect the GMPP faster in comparison with other methods. …”
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  12. 12
    On line fault detection for transmission line using power system stabilizer signals

    On line fault detection for transmission line using power system stabilizer signals by Ali Falifla, Hamza AbuBeker

    Published 2007
    “…Hence, this study will show that not only the PSS able to compensate the damping due to the disturbance but also by using the developed algorithm it succeeds to detect and classify the fault conditions on the parallel transmission lines.…”
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  13. 13
    Toward heterogeneous computing to facilitate sequential OLAP real-time applications

    Toward heterogeneous computing to facilitate sequential OLAP real-time applications by Hameed, Shihab A., Habaebi, Mohamed Hadi, Alzeini, Haytham I. M.

    Published 2016
    “…The optimized algorithm is dedicated to detect patterns over parallel data streams in Real-Time. …”
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  14. 14
    Comparison of Wenner and dipole-dipole arrays in the study of an underground three-dimensional cavity

    Comparison of Wenner and dipole-dipole arrays in the study of an underground three-dimensional cavity by Neyamadpour, A., Abdullah, W.A.T.W., Taib, S., Neyamadpour, B.

    Published 2010
    “…In the inverted model, both the horizontal and vertical extents of the anomalous zones were displayed. …”
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  15. 15
    An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics

    An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics by Ahmed, Hisham Ahmed Ali

    Published 2016
    “…Afterwards, an SoC for real-time video analytics is realized on Zynq using Harris corner detection algorithm. A careful analysis of the algorithm and efficient utilization of Zynq resources results in highly parallelized and pipelined architecture outperforms the state-of-the-art. …”
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  16. 16
    Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living

    Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living by Hamza, Manar Ahmed, Hassan Abdalla Hashim, Aisha, Motwakel, Abdelwahed, Elhameed, Elmouez Samir Abd, Osman, Mohammed, Kumar, Arun, Singla, Chinu, Munjal, Muskaan

    Published 2024
    “…For sentiment detection, the AOADL-TC technique applies a parallel bidirectional gated recurrent unit (BiGRU) model. …”
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  17. 17
    Voltage clamp simulations of cardiac excitation: FPGA implementation

    Voltage clamp simulations of cardiac excitation: FPGA implementation by Mahmud, Farhanahani, Mahamad, Abd Kadir, Jabbar, M. Hairol, Othman, Norliza, Adon, Nur Atiqah

    Published 2016
    “…As computational simulations devote a vast amount of time to run due to the increasing complexity of cardiac models, a real-time hardware implementation using FPGA could be the solution as it provides high configurability and performance, and able to executes in parallel mode operation for high-performance real-time systems. …”
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  18. 18
    Prognosis of early cervical carcinoma using gene expression profiling

    Prognosis of early cervical carcinoma using gene expression profiling by Zarzar, Mouayad, Razak, Eliza, Htike@Muhammad Yusof, Zaw Zaw, Yusof, Faridah

    Published 2015
    “…Furthermore, microarray technology enables researchers to assay the expression of thousands of genes in parallel. In this paper, we present a Gaussian process regression model in order improve the prediction of survivability of patients with early cervical cancer. …”
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  19. 19
    A test case generation framework based on UML statechart diagram

    A test case generation framework based on UML statechart diagram by Salman, Yasir Dawood

    Published 2018
    “…Early software fault detection offers more flexibility to correct errors in the early development stages. …”
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  20. 20
    Mitigation of Mach Zehnder modulator nonlinearity in millimeter wave radio over fiber system using digital predistortion

    Mitigation of Mach Zehnder modulator nonlinearity in millimeter wave radio over fiber system using digital predistortion by Duraikannan, Shankar

    Published 2017
    “…The proposed adaptive digital pre-distortion is based on memory polynomial (MP) model with indirect learning architecture (ILA) where the predistorter is modeled as an inverse polynomial model of the nonlinear RoF system. …”
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