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  1. 1
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  2. 2
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  3. 3
    A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm

    A Preliminary Study on Camera Auto Calibration Problem Using Bat Algorithm by Mohd Annuar, Khalil Azha, Selamat, Nur Asmiza, Jaafar, Hazriq Izzuan, Mohamad, Syahrul Hisham

    Published 2013
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  4. 4
    A New Hybrid Gravitational Search- Black Hole Algorithm

    A New Hybrid Gravitational Search- Black Hole Algorithm by Suad Khairi, Mohammed, Zuwairie, Ibrahim, Hamdan, Daniyal, Nor Azlina, Ab. Aziz

    Published 2016
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  5. 5
    Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin

    Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin by Samsuddin, Nur Haida Hanna

    Published 2020
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  6. 6
    Crytojacking Classification based on Machine Learning Algorithm

    Crytojacking Classification based on Machine Learning Algorithm by Mansor W.N.A.B.W., Ahmad A., Zainudin W.S., Kama M.N., Madihah Mohd Saudi

    Published 2024
    journal::journal article
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  7. 7
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…However, SURE-Autometrics has not been estimated using maximum likelihood estimation (MLE). Therefore, in this study SUREAutometrics is improvised using two MLE methods, which are iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm, named as SURE(IFGLS)-Autometrics and SURE(EM)-Autometrics algorithms. …”
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  8. 8
    Forecasting The Financial Soundness Of Indonesia’s National Board Of Zakat (baznas) Using Artificial Neural Network Models

    Forecasting The Financial Soundness Of Indonesia’s National Board Of Zakat (baznas) Using Artificial Neural Network Models by Syamsuri Syamsuri, Fuadah Johari, Nadhilah Nadhilah, Yaumi Sa’adah

    Published 2024
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  9. 9
    A hybrid novel SVM model for predicting CO2 emissions using Multiobjective Seagull Optimization

    A hybrid novel SVM model for predicting CO2 emissions using Multiobjective Seagull Optimization by Ehteram M., Sammen S.S., Panahi F., Sidek L.M.

    Published 2023
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  10. 10
    A backward difference formulation for analyzing the dynamics of capital stocks

    A backward difference formulation for analyzing the dynamics of capital stocks by Mohammad Hasan Abdul Sathar, Nur Ainna Ramli, Norizarina Ishak, Siti Raihana Hamzah, Ehab Matarneh, Nurhidaya Md. Jan, Ahmad Fadly Nurullah Rasedee, Siti Munirah Mohd

    Published 2024
    journal::journal article
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  11. 11
    A Preliminary Study of Wood Species Classifacation System Based on Wood Knot Texture Using K-Nearest Neighbour With Optimized Features From Binary Magnetic Optimization Algorithm Selection

    A Preliminary Study of Wood Species Classifacation System Based on Wood Knot Texture Using K-Nearest Neighbour With Optimized Features From Binary Magnetic Optimization Algorithm S... by Osman, Khairuddin, Mohamad, Syahrul Hisham, Jaafar, Hazriq Izzuan

    Published 2013
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  12. 12
    Artificial neural network modeling studies to predict the amount of carried weight by rail transportation system / Nur Syuhada Muhammat Pazil, Siti Nor Nadrah Muhamad and Hanis Syazana Nor Azahar

    Artificial neural network modeling studies to predict the amount of carried weight by rail transportation system / Nur Syuhada Muhammat Pazil, Siti Nor Nadrah Muhamad and Hanis Sya... by Muhammat Pazil, Nur Syuhada, Muhamad, Siti Nor Nadrah, Nor Azahar, Hanis Syazana

    Published 2018
    “…There are three algorithms chosen in this study which are Conjugate Gradient Descent (CGD), Quasi-Newton (QN) and Lavenberg-Marquardt (LM) algorithm. …”
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  13. 13
    A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market

    A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market by Mohd. Ridzuan Ab. Khalil, Azuraliza Abu Bakar

    Published 2023
    “…This study aims to develop a univariate and multivariate stock market forecasting model using three deep learning algorithms and compare the performance of those models. …”
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  14. 14
    A new 128-bit block cipher

    A new 128-bit block cipher by Mohd Ali, Fakariah Hani

    Published 2009
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  15. 15
    A population division based multi-task optimization algorithm for solving multiple-team formation problem based on Tiki-Taka optimization algorithm

    A population division based multi-task optimization algorithm for solving multiple-team formation problem based on Tiki-Taka optimization algorithm by Ahmmed, Mohammad Badal, Kamal Z., Zamli

    Published 2022
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  16. 16
    Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool

    Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool by Obada , M. A. Asqool

    Published 2022
    “…Therefore, this study aims to investigate the best algorithm for data filtration and how to use it to obtain accurate data for measuring TTR. …”
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  17. 17
    Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm

    Optimal charging strategy for plug-in hybrid electric vehicle using evolutionary algorithm by Lee, Clement Yuon Sien

    Published 2016
    “…An optimal charging strategy for plug-in hybrid electric vehicle (PHEV) is proposed and developed by using evolutionary algorithm to obtain the most suitable charging condition for each PHEV charging. …”
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    Undergraduates Project Papers
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  18. 18
    Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System

    Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System by Meng, Chung Tiong, Hamdan, Daniyal, Mohd Herwan, Sulaiman, Mohd Shafie, Bakar

    Published 2018
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  19. 19
    Artificial neural network modeling studies to predict the amount of carried weight by Rail Transportation System / Nur Syuhada Muhammat Pazil, Siti Nor Nadrah Muhamad & Hanis Syazana Nor Azahar

    Artificial neural network modeling studies to predict the amount of carried weight by Rail Transportation System / Nur Syuhada Muhammat Pazil, Siti Nor Nadrah Muhamad & Hanis Syaza... by Muhammat Pazil, Nur Syuhada, Muhamad, Nor Nadrah, Nor Azahar, Hanis Syazana

    Published 2018
    “…There are three algorithms chosen in this study which are Conjugate Gradient Descent (CGD), Quasi-Newton (QN) and Lavenberg-Marquardt (LM) algorithm. …”
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  20. 20
    Adaptive emergency evacuation centre management for dynamic relocation of flood victims using firefly algorithm

    Adaptive emergency evacuation centre management for dynamic relocation of flood victims using firefly algorithm by Che Pa, Noraziah, Hashim, Nor Laily, Yusof, Yuhanis, Hussain, Azham

    Published 2016
    “…The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre. …”
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