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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
    A study on course timetabling for FCSIT

    A study on course timetabling for FCSIT by Bong,, Chia Lih

    Published 2014
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    Final Year Project Report / IMRAD
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  3. 3
    Using clinical practice guidelines to manage dengue: a qualitative study in a Malaysian hospital

    Using clinical practice guidelines to manage dengue: a qualitative study in a Malaysian hospital by Wharton-Smith, Alexandra, Green, Judith, Loh, Ee Chin, Gorrie, Alexander, Omar, Sharifah Faridah Syed, Bacchus, Loraine, Lum, Lucy Chai See

    Published 2019
    “…Other reported barriers to improved case management were resource constraints, poor referral practices, and insufficient awareness of the need for timely help seeking. …”
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  4. 4
    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm

    A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm by Ba-Quttayyan, Bakr Salim Abdullah

    Published 2024
    “…TCP factors and a weighted fitness function are also used for test case optimisation. The contributions of this study straddle research perspectives of enhancing Regression Testing with Particle Swarm-Artificial Bee Colony Algorithm, and practical perspectives by providing software testing practitioners the TCP framework that can facilitate and accelerate the production of high-quality software products by revealing faults early and reducing time, cost, and human efforts through automation.…”
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  5. 5
    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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  6. 6
    Improving real-time multimedia scheduling in practical mobile cellular channels

    Improving real-time multimedia scheduling in practical mobile cellular channels by Mohd. Ramli, Huda Adibah, Mohd. Isa, Farah Nadia

    Published 2016
    “…Simulation results demonstrated the efficacy of the adapted M-LWDF algorithm where it provides good experiences for more users and is more robust in case of outdated channel quality information report…”
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    Proceeding Paper
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  7. 7
    STeM: a web-based system for managing test artifacts in software testing course / Nor Shahida Mohamad Yusop, Adib Suhaimi Mohd Fikri and Nursyuhaila Yahaya

    STeM: a web-based system for managing test artifacts in software testing course / Nor Shahida Mohamad Yusop, Adib Suhaimi Mohd Fikri and Nursyuhaila Yahaya by Yusop, Nor Shahida Mohamad, Mohd Fikri, Adib Suhaimi, Yahaya, Nursyuhaila

    Published 2022
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  8. 8
    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm

    An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm by Hong, Mee Song

    Published 2016
    “…The results of these four different test cases were compared with the optimization techniques reported in recent literature in order to observe the effectiveness of FPA. …”
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  9. 9
    African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions

    African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions by B. Odili, Julius, B. Nasser, Abdullah, A., Noraziah, Abd Wahab, Mohd Helmy, Ahmed, Mashuk

    Published 2022
    “…Concomitantly, over the past two decades, there has been a rise both in the development of metaheuristics and their application to diverse theoretical and practical areas including CIT in e-payments. In the implementa�tion of t-way strategies (the t is used to represent the interaction strength), mixed results have been reported; some very exciting but, in other cases, the perfor�mance of metaheuristics has been, to say the least, below par. …”
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  10. 10
    Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin

    Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin by Husin, Hapida

    Published 2008
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  11. 11
    Development of an integrated scheduling model for handling equipment in automated port container terminals

    Development of an integrated scheduling model for handling equipment in automated port container terminals by Sadeghian, Syed Hamidreza

    Published 2014
    “…In addition, results proved that the modified meta-heuristic algorithm is able to find near optimal solutions and on average, the solutions found by the GA algorithm are only 0.2% worse than the optimal solutions and in the worst case in the test cases this difference is 2.3% which is acceptable. …”
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  12. 12
    Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization

    Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization by Shaikh, Muhammad Suhail, Wang, Chang, Xie, Senlin, Zheng, Gengzhong, Dong, Xiaoqing, Qiu, Shuwei, Mohd Ashraf, Ahmad, Raj, Saurav

    Published 2025
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  13. 13
    SMALL-SCALE PRIMARY SCHOOL TIMETABLING PROBLEM

    SMALL-SCALE PRIMARY SCHOOL TIMETABLING PROBLEM by Yong, Phang How

    Published 2019
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    Final Year Project Report / IMRAD
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  14. 14
    Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba

    Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba by Ghulam , Mujtaba

    Published 2018
    “…Moreover, support vector machines and random forest algorithms outperformed the four other algorithms. The proposed techniques are feasible and practical in determining the CoD from forensic autopsy reports and can assist pathologists to accurately and rapidly determine the CoD from autopsy findings. …”
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  15. 15
    African Buffalo Optimization Algorithm Based T-Way Test Suite Generation Strategy for Electronic-Payment Transactions

    African Buffalo Optimization Algorithm Based T-Way Test Suite Generation Strategy for Electronic-Payment Transactions by Odili, Julius Beneoluchi, Noraziah, Ahmad, Nasser, Abdullah B., Abd. Wahab, Mohd Helmy, Ahmed, Mashuk

    Published 2021
    “…Concomitantly, over the past two decades, there has been a rise both in the development of metaheuristics and their application to diverse theoretical and practical areas including CIT in e-payments. In the implementation of t-way strategies (the t is used to represent the interaction strength), mixed results have been reported; some very exciting but, in other cases, the performance of metaheuristics has been, to say the least, below par. …”
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  16. 16
    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh

    A coalition model for efficient indexing in wireless sensor network with random mobility / Hazem Jihad Ali Badarneh by Hazem Jihad , Ali Badarneh

    Published 2021
    “…Because of these attributes, it requires to be efficiently allocated and effectively processed. In the case of random mobile sensors, a huge number of packets are generated, which exacerbated the burden of indexing the mobile sensors' reports, because of dependability on packets' attributes. …”
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  17. 17
    An Algorithm Study for Modeling the Multi-Period Inventory Transportation Problem in Construction Industry (S/O 14585)

    An Algorithm Study for Modeling the Multi-Period Inventory Transportation Problem in Construction Industry (S/O 14585) by Yaakob, Mazri, Abdul Rahim, Mohd Kamarul Irwan

    Published 2021
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    Monograph
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  18. 18
    Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions

    Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions by Shamshad, H., Ullah, F., Ullah, A., Kebande, V.R., Ullah, S., Al-Dhaqm, A.

    Published 2023
    “…Results demonstrate that ARIMA outperforms the other models in all cases, accurately projecting the price variability within the actual price range. …”
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  19. 19
    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…The optimal model based on the parsimony principles was obtained from the hill climbing algorithm with score metrics. The results revealed a high reported cases at the baseline data collection possibly occasioned by the observed low malaria KAP levels at the pre-intervention study. …”
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  20. 20
    Optimum Design of PIλDμ Controller for an Automatic Voltage Regulator System Using Combinatorial Test Design

    Optimum Design of PIλDμ Controller for an Automatic Voltage Regulator System Using Combinatorial Test Design by Ahmed, Bestoun S., Sahib, Mouayad A., Gambardella, Luca M., Afzal, Wasif, Kamal Z., Zamli

    Published 2016
    “…Throughout the paper, we justify this new application theoretically and practically through simulations. In addition, we report on first experiments indicating its practical use in this field. …”
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