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  1. 1
    Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation

    Small Dataset Learning In Prediction Model Using Box-Whisker Data Transformation by Lateh, Masitah bdul

    Published 2020
    “…To test the effectiveness of the proposed algorithm, the real and generated samples is added to training phase to build a prediction model using M5 Model Tree. …”
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  2. 2
    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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  3. 3
    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review

    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

    Published 2021
    “…Many recent studies have shown that various multi-objective evolutionary algorithms have been widely applied in the field of search-based software engineering (SBSE) for optimal solutions. …”
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  4. 4
    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower

    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

    Published 2018
    “…Therefore, this study aims to develop a new health monitoring system for communication towers based on AdaBoost, Bagging, and RUSBoost algorithms as hybrid algorithm, which can predict the damage by using noisy, random, unstable, and skewed frequency data with high accuracy. …”
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  5. 5
    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation

    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation by Kumar, A., Ridha, S., Ganet, T., Vasant, P., Ilyas, S.U.

    Published 2020
    “…The impact of each input parameter affecting the pressure drop is quantified using the RF algorithm. © 2020 by the authors.…”
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  6. 6
    Topographic openness algorithm for characterizing geologic fractures of Kuala Lumpur limestone bedrock using DEM.

    Topographic openness algorithm for characterizing geologic fractures of Kuala Lumpur limestone bedrock using DEM. by Ismail , Samy, Mansor, Shattri, Kim Huat, Bujang, Rodsi , Ahmed

    Published 2010
    “…The slopes and topograhic openness algorithms perform poorly in the areas of low relief and low slopes. …”
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  7. 7
    Reliability study of L1-Norm Adjustment in examining the inconsistencies of cadastral record / Nur Alya Nasuha Azizan

    Reliability study of L1-Norm Adjustment in examining the inconsistencies of cadastral record / Nur Alya Nasuha Azizan by Azizan, Nur Alya Nasuha

    Published 2023
    “…The dependence on mean value in deriving adjusted parameters has constrained the LSE solutions, making the algorithm prone to blunders. …”
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  8. 8
    Fuzzy methodologies for automated University timetabling solution construction and evaluation

    Fuzzy methodologies for automated University timetabling solution construction and evaluation by Asmuni, Hishammuddin

    Published 2008
    “…A novel approach, in which fuzzy methods are used to evaluate the end solution quality, separate from the objective functions used in solution generation, represents a significant addition to the literature. …”
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  9. 9
    Gaussian process-based inversion: A new approach for estimating hydrocarbon parameters in controlled-source electromagnetic application

    Gaussian process-based inversion: A new approach for estimating hydrocarbon parameters in controlled-source electromagnetic application by Muhammad Naeim, Mohd Aris, Hanita, Daud, Dass, Sarat Chandra, Nagaratnam, Shalini, Noryanti, Muhammad, Evizal, Abdul Kadir, Maharani, Warih

    Published 2024
    “…Many inversion codes in marine controlled-source electromagnetic (CSEM) inverse problems use numerical partial differential equation (PDE) solvers as the forward solutions modelers. …”
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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
    Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming

    Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming by Altahir, A.A., Asirvadam, V.S., Sebastian, P., Hamid, N.H.B., Ahmed, E.F.

    Published 2022
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  12. 12
    A proposed metric scale for expressing opinion / Rohana Yusoff and Roziah Mohd Janor

    A proposed metric scale for expressing opinion / Rohana Yusoff and Roziah Mohd Janor by Yusoff, Rohana, Mohd Janor, Roziah

    Published 2015
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    Research Reports
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  13. 13
    Quantification of Methanol-Water Mixture Ultrasonic Cavitation Event

    Quantification of Methanol-Water Mixture Ultrasonic Cavitation Event by Arfah Hazie bte. Radzran, Arfah Hazie

    Published 2009
    “…There is a method proposed regarding this issue. By using image-processing in MATLAB, an algorithm is built to quantify the cavitation activities. …”
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  14. 14
    Access control model based on trust, purpose, and role in materialized view for privacy protection

    Access control model based on trust, purpose, and role in materialized view for privacy protection by Salji, Mohd Rafiz

    Published 2019
    “…A quantification method is proposed to quantify the seniority and behaviour of the user by using the evidences and ten user behaviour categories to specify user's trustworthiness. …”
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  15. 15
    Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain

    Investigating The Performance Of Metaheuristics To Optimize The Revenue Of Semiconductor Supply Chain by Roslee, Muhammad Sharifuddin

    Published 2022
    “…Due to the random nature of metaheuristic approaches, there is a high probability that global optimal solutions will be discovered. A predetermined optimization goal can be achieved by quantifying the quality measures, also known as fitness functions, objective functions, or goodness levels. …”
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    Monograph
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  16. 16
    Automatic paddy planthopper detection and counting using faster R-CNN

    Automatic paddy planthopper detection and counting using faster R-CNN by Khairunniza-Bejo, Siti, Ibrahim, Mohd Firdaus, Hanafi, Marsyita, Jahari, Mahirah, Ahmad Saad, Fathinul Syahir, Mhd Bookeri, Mohammad Aufa

    Published 2024
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  17. 17
    Perturbation stochastic model updating of a bolted structure / Mohamad Azam Shah Aziz Shah

    Perturbation stochastic model updating of a bolted structure / Mohamad Azam Shah Aziz Shah by Aziz Shah, Mohamad Azam Shah

    Published 2022
    “…The scheme was developed by introducing a multidimensional analysis consisting of a systematic quasi-random sampling algorithm. The bolted structure used in this study was developed based on standard grade AISI 1020. …”
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  18. 18
    Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor

    Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

    Published 2024
    “…This study addresses the challenges posed by traditional maintenance approaches within nuclear power plants, where lengthy procedures and a laborious working process hinder the timely identification and resolution of potential operational issues. Practical algorithms incorporating k-nearest neighbour and decision tree models with quantifiable performance metrics are proposed to streamline and optimise the maintenance process. …”
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  19. 19
    A semi-automated requirements prioritisation technique for scalable requirements with stakeholder quantification and prioritisation

    A semi-automated requirements prioritisation technique for scalable requirements with stakeholder quantification and prioritisation by Hujainah, Fadhl Mohammed Omar

    Published 2019
    “…The StakeQP is on the basis of the newly proposed new measurement criteria for each SQP attribute and using the multi-attribute decision-making method, namely, technique of order preference similarity to the ideal solution (TOPSIS). …”
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  20. 20
    Development of an automated detector and counter for bagworm census

    Development of an automated detector and counter for bagworm census by Ahmad, Mohd Najib

    Published 2020
    “…The living and dead bagworm spectral reflectance properties were determined using spectroradiometer, GER1500 under the Visible/Near Infrared and Short-wave Infrared wavelength regions, 350 – 1050 nm, and the results were statistically confirmed using Student’s t- Test with two tailed distributions, principal component analysis and Boxplot Quantiles. …”
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