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  1. 1
    New Generalized Algorithm for Developing k-Step Higher Derivative Block Methods for Solving Higher Order Ordinary Differential Equations

    New Generalized Algorithm for Developing k-Step Higher Derivative Block Methods for Solving Higher Order Ordinary Differential Equations by Adeyeye, Oluwaseun, Omar, Zurni

    Published 2018
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  2. 2
    Unique class encryption (UCE) substitution boxes (S-Boxes) using mysterious Quranic for block ciphers in ICT security

    Unique class encryption (UCE) substitution boxes (S-Boxes) using mysterious Quranic for block ciphers in ICT security by Shamsudin, Ahmad Faizul, Suhaimi, Mohd Adam, Makarin, Rusydi Hasan, Jaafar, Abi Dzar

    Published 2010
    “…Collaborative research with MIMOS Cyber-security Laboratory are using the strong UCE S-Boxes to develop hybrid round functions and key distribution algorithms to construct the UCE block cipher. …”
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  3. 3
    Development of improved metaheuristic algorithms for modelling and control of a flexible manipulator system

    Development of improved metaheuristic algorithms for modelling and control of a flexible manipulator system by Nasir, Ahmad Nor Kasruddin, Ahmad, Mohd Ashraf, Raja Ismail, R. M.T., Muhammad Hamka, Embong

    Published 2019
    “…In this work the algorithms are developed on a Matlab and Simulink software. …”
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    Research Report
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  4. 4
    The algorithm design for trust in peer-to-peer bitcoin transactions on blockchain/ Irni Eliana Khairuddin

    The algorithm design for trust in peer-to-peer bitcoin transactions on blockchain/ Irni Eliana Khairuddin by Khairuddin, Irni Eliana

    Published 2021
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  5. 5
    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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  6. 6
    Strategies for effective value management practice in construction industry

    Strategies for effective value management practice in construction industry by Zulhkiple, A. Bakar

    Published 2017
    “…The objectives were to develop a new optimisation algorithm and apply the results to control construction project costs. …”
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  7. 7
    Identifying and predicting Muslim’s community funeral funding protocols

    Identifying and predicting Muslim’s community funeral funding protocols by Ibrahim, Izzul Ismail, M Ashhuri, Muhammad Hassan, Hassan, Raini

    Published 2024
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  8. 8
    Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia

    Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia by Jumin E., Basaruddin F.B., Yusoff Y.B.M., Latif S.D., Ahmed A.N.

    Published 2023
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  9. 9
    Improving Extreme Programming Framework With Security Concerns For E-Commerce Applications

    Improving Extreme Programming Framework With Security Concerns For E-Commerce Applications by Bala, Musa Shuaibu

    Published 2024
    thesis::doctoral thesis
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  10. 10
    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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  11. 11
    Classification models for higher learning scholarship award decisions

    Classification models for higher learning scholarship award decisions by Wirawati Dewi Ahmad, Azuraliza Abu Bakar

    Published 2018
    “…A dataset of successful and unsuccessful applicants was taken and processed as training data and testing data used in the modelling process. Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
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  12. 12
    The Determinant Factors for the Issuance of Central Bank Digital Currency (CBDC) in Malaysia using Machine Learning Framework

    The Determinant Factors for the Issuance of Central Bank Digital Currency (CBDC) in Malaysia using Machine Learning Framework by Normi Sham Awang, Abu Bakar, Norzariyah, Yahya, Norbik Bashah, Idris, Engku Rabiah Adawiah, Engku Ali, Jasni, Mohamad Zain, Erni Eliana, Khairuddin, Ahmad Firdaus, Zainal Abidin, Murtaj, Sheikh Mohammad Tahsin, Siti Sarah, Maidin

    Published 2024
    “…Eventually, the factors identified will be used to develop a framework for the implementation of CBDC in Malaysia.…”
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  13. 13
    ATM crime detection using image processing integrated video surveillance : a systematic review

    ATM crime detection using image processing integrated video surveillance : a systematic review by Sikandar, Tasriva, Kamarul Hawari, Ghazali, Rabbi, M. F.

    Published 2019
    “…The findings of this review may help the future researchers to develop dynamic and multipurpose algorithms for surveillance system that can detect and prevent ATM crime.…”
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  14. 14
    The determinant factors for the issuance of Central Bank Digital Currency (CBDC) in Malaysia using machine learning framework

    The determinant factors for the issuance of Central Bank Digital Currency (CBDC) in Malaysia using machine learning framework by Awang Abu Bakar, Normi Sham, Yahya, Norzariyah, Idris, Norbik Bashah, Engku Ali, Engku Rabiah Adawiah, Mohamad Zain, Jasni, Khairuddin, Erni Eliana, Zainal Abidin, Ahmad Firdaus, Murtaj, Sheikh Mohammad Tahsin, Maidin, Siti Sarah

    Published 2024
    “…Eventually, the factors identified will be used to develop a framework for the implementation of CBDC in Malaysia.…”
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  15. 15
    Determinants factors of biotechnology commercialization in Malaysia: resource-based view perspective / Nur Hidayat Nordin

    Determinants factors of biotechnology commercialization in Malaysia: resource-based view perspective / Nur Hidayat Nordin by Nordin, Nur Hidayat

    Published 2023
    “…A structure path modeling has been designed based on these constructs by relating it to commercialization success using the PLS algorithm and bootstrapping method. A quantitative survey indicated that biotechnology companies indispensable a resource-based view regarding technological capability, funding access, and new talent. …”
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  16. 16
    Enhancing going concern prediction with Anchor explainable AI and attention-weighted XGBoost

    Enhancing going concern prediction with Anchor explainable AI and attention-weighted XGBoost by Putthiporn Thanathamathee, Siriporn Sawangarreerak, Dinna Nina Mohd Nizam

    Published 2024
    “…Our solution, integrating Anchor XAI, offers lucid, comprehensible explanations for the model's predictions, enhancing trust and interpretability. The developed Attention-Weighted XGBoost algorithm, targeting essential financial indicators, markedly surpasses traditional approaches in prediction by its 98% accuracy, as evidenced by improved precision and recall. …”
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  17. 17
    Modified dynamic programming model with limited order picking capacity / Noraimi Azlin Mohd Nordin

    Modified dynamic programming model with limited order picking capacity / Noraimi Azlin Mohd Nordin by Noraimi Azlin , Mohd Nordin

    Published 2021
    “…Throughout the study, the system in the end is hoped to develop a proper procedures in order picking routine. …”
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  18. 18
    Molecular characterisation of beta thalassaemia in patients from Sabah, Malaysia

    Molecular characterisation of beta thalassaemia in patients from Sabah, Malaysia by Teh, Lai Kuan

    Published 2014
    “…Multiplex ligation-dependent probe amplification (MLPA) analysis is an efficient technique for the screening of large deletions which can be included in the diagnosis algorithm provided technical expertise and necessary funding are available. …”
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  19. 19
    Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling

    Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling by Chong , Hui Ling

    Published 2017
    “…The output from the model is a set of solutions for funds allocation that minimises the asset liability performance gap for BIMB. …”
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  20. 20
    Bornean Orangutan nest classification using Image enhancement with convolutional neural network and kernel multi support vector machine classifier

    Bornean Orangutan nest classification using Image enhancement with convolutional neural network and kernel multi support vector machine classifier by Amanda Aiza Amran, Chin Kim On, Samsul Ariffin Abdul Karim, Lai Po Hung, Chai Soo See, Donna Simon, Munirah Rossdy, Chi Jing

    Published 2025
    “…In future work, we aim to develop orangutan nest detector, contributing to wildlife conservation research.…”
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