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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
    Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency

    Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency by Ramli, Muhammad Shahrul Azwan, Zainal Abidin, Mohamad Shukri, Hasan, Nor Shahida, Md Reba, Mohd Nadzri, Kolawole, Keshinro Kazeem, Ardiansyah, Rizqi Andry, Mpuhus, Sikudhan Lucas

    Published 2024
    “…The algorithm was developed by calibrating the AQUACROP model using data from actual durian plantations where rain-fed irrigation (rain-fed) was practised. …”
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  3. 3
    Integration of image processing algorithm and deep learning approaches to monitor ginger plant

    Integration of image processing algorithm and deep learning approaches to monitor ginger plant by Tan, Cheng Yong

    Published 2024
    “…One YOLOv8 based model was developed for detecting and segmenting ginger plants in various growth states. …”
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    Final Year Project / Dissertation / Thesis
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  4. 4
    Integration of image processing algorithm and deep learning approaches to monitor ginger plant

    Integration of image processing algorithm and deep learning approaches to monitor ginger plant by Tan, Cheng Yong

    Published 2024
    “…One YOLOv8 based model was developed for detecting and segmenting ginger plants in various growth states. …”
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  5. 5
    High performance visualization of human tumor growth software

    High performance visualization of human tumor growth software by Alias, Norma, Mohd. Said, Norfarizan, Khalid, Siti Nur Hidayah, Sin, Dolly Tien Ching, Phang, Tau Ing

    Published 2008
    “…This paper focused on the implementation of parallel algorithm for the simulation of human tumor growth.The research emphasised on the grand challenge application of breast and brain tumors growth. …”
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  6. 6
    A non-dominated sorting differential search algorithm flux balance analysis (ndsDSAFBA) for in silico multiobjective optimization in identifying reactions knockout

    A non-dominated sorting differential search algorithm flux balance analysis (ndsDSAFBA) for in silico multiobjective optimization in identifying reactions knockout by Kauthar, Mohd Daud, Mohd Saberi, Mohamad, Zalmiyah, Zakaria, Rohayanti, Hassan, Zuraini, Ali Shah, Safaai, Deris, Zuwairie, Ibrahim, Suhaimi, Napis, Sinnott, Richard O.

    Published 2019
    “…The results obtained were compared with the single objective optimisation (SOO) and multi-objective optimisation (MOO) methods. The results demonstrate that ndsDSAFBA is better than the other methods in terms of production rate and growth rate.…”
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  7. 7
    A non-dominated sorting Differential Search Algorithm Flux Balance Analysis (ndsDSAFBA) for in silico multiobjective optimization in identifying reactions knockout

    A non-dominated sorting Differential Search Algorithm Flux Balance Analysis (ndsDSAFBA) for in silico multiobjective optimization in identifying reactions knockout by Mohd Daud, Kauthar, Mohamad, Mohd Saberi, Zakaria, Zalmiyah, Hassan, Rohayanti, Ali Shah, Zuraini, Deris, Safa'ai, Ibrahim, Zuwairie, Napis, Suhaimi, Sinnott, Richard O.

    Published 2019
    “…The results obtained were compared with the single objective optimisation (SOO) and multi-objective optimisation (MOO) methods. The results demonstrate that ndsDSAFBA is better than the other methods in terms of production rate and growth rate.…”
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  8. 8
    High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems

    High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems by Pheng, H. S., Alias, Norma, Mohd. Said, Norfarizan

    Published 2007
    “…The result of finite difference approximation using explicit, Crank-Nicolson and fully implicit methods will be presented graphically. The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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  9. 9
    High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system

    High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system by Pheng H. S., Norma Alias, Norfarizan Mohd Said

    Published 2007
    “…The result of finite difference approximation using explicit, Crank-Nicolson and fully implicit methods will be presented graphically. The implementation of parallel algorithm based on parallel computing system is used to capture the growth of brain tumour. …”
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  10. 10
    Predicting sales trends for school cooperative using Market Basket Analysis

    Predicting sales trends for school cooperative using Market Basket Analysis by Azeman, Nur Itqan Mardhiah

    Published 2025
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    Student Project
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  11. 11
    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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  12. 12
    Identifying the Growth Phase of Microalgae using Image Processing

    Identifying the Growth Phase of Microalgae using Image Processing by Amir RIdhwan bin Ahmad Fauzi

    Published 2023
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  13. 13
    Algorithms for extracting adjacency matrix based on Formal Concept Analysis (FCA)

    Algorithms for extracting adjacency matrix based on Formal Concept Analysis (FCA) by Hasni, Hassan, Aznida Hayati, Zakaria@Mohamad, Mohd Isa, Awang, Mokhairi, Makhtar, Rohana, Ismail, Fadhilah, Ahmad

    Published 2017
    “…However, the focus of the paper is on a method proposed to extract adjacency matrix from concepts obtained from the theory of Formal Concept Analysis (FCA) using two consecutive algorithms called the Relatedness Algorithm and Adjacency Matrix Algorithm. …”
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  14. 14
    Computationally efficient sequential learning algorithms for direct link resource-allocating networks

    Computationally efficient sequential learning algorithms for direct link resource-allocating networks by Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George W

    Published 2005
    “…Computationally efficient sequential learning algorithms are developed for direct-link resource-allocating networks (DRANs). …”
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  15. 15
    Identification of non-equilibrium growth for bitcoin exchange rate: mathematical derivation method in Islamic financial engineering

    Identification of non-equilibrium growth for bitcoin exchange rate: mathematical derivation method in Islamic financial engineering by Rosbi, Sofian, Abu Bakar, Nashirah

    Published 2017
    “…The objective of this study is to develop the mathematical model evaluate growth of Bitcoin exchange rate. …”
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  16. 16
    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy

    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

    Published 2022
    “…Gross domestic product (GDP) is an important indicator for determining a country’s or region’s economic status and development level, and it is closely linked to inflation, unemployment, and economic growth rates. …”
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  17. 17
    Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm

    Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm by Mohamad Zunnurain Fauzi

    Published 2023
    “…Recently, the rapid growth development of the Distribution system has caused the problem arising due to the usage Distributed Generation (DG). …”
    text::Final Year Project
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  18. 18
    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves

    Sauvola Segmentation and Support Vector Machine-Salp Swarm Algorithm Approach for Identifying Nutrient Deficiencies in Citrus Reticulata Leaves by Lia, Kamelia

    Published 2024
    “…It ensures that plants receive the necessary nutrients for optimal growth and development.…”
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    Thesis
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  19. 19
    COVID-19 DATA EXPLORATION USING MAPPER ALGORITHM

    COVID-19 DATA EXPLORATION USING MAPPER ALGORITHM by Carey, Ling Yu Fan

    Published 2023
    “…To investigate and capture the development of the pandemic, mapper algorithm can be used to visualize and analyse the COVID data set provided by the government. …”
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    Final Year Project Report / IMRAD
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  20. 20
    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS

    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

    Published 2014
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