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  1. 1
    Harmony Search algorithm-based gasoline consumption modeling for Indonesia

    Harmony Search algorithm-based gasoline consumption modeling for Indonesia by Anggarani, Riesta, Watada, Junzo

    Published 2012
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  2. 2
    Machine Learning Classifications of Multiple Organ Failures in a Malaysian Intensive Care Unit

    Machine Learning Classifications of Multiple Organ Failures in a Malaysian Intensive Care Unit by Shah N.N.H., Razak N.N.A., Razak A.A., Abu-Samah A., Suhaimi F.M., Jamaluddin U.

    Published 2025
    “…This study aims to perform the classification of multiple organ failures using machine learning algorithms based on SOFA score. …”
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  3. 3
    Machine learning classifications of multiple organ failures in a malaysian intensive care unit

    Machine learning classifications of multiple organ failures in a malaysian intensive care unit by Norliyana, Nor Hisham Shah, Normy Norfiza, Abdul Razak, Athirah, Abdul Razak, Asma’, Abu-Samah, Fatanah, M. Suhaimi, Ummu Kulthum, Jamaludin

    Published 2024
    “…This study aims to perform the classification of multiple organ failures using machine learning algorithms based on SOFA score. …”
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  4. 4
    Characterization of water quality conditions in the Klang River Basin, Malaysia using self organizing map and K-means algorithm

    Characterization of water quality conditions in the Klang River Basin, Malaysia using self organizing map and K-means algorithm by Mohd Sharif, Sharifah, Mohd Kusin, Faradiella, Asha’ari, Zulfa Hanan, Aris, Ahmad Zaharin

    Published 2015
    “…This study aimed to determine the spatiotemporal pattern of the water quality data and identifying the sources of pollution in the Klang River Basin. The self organizing map (SOM) combined with the K-means algorithm arranged the data based on the relationships of 25 variables. …”
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  5. 5
    Enhancing obfuscation technique for protecting source code against software reverse engineering

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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  6. 6
    A genetic algorithm for capital budgeting problem with fuzzy parameters

    A genetic algorithm for capital budgeting problem with fuzzy parameters by Rashidi-Bajgan, Hannaneh, Rezaeian, Javad, Nehzati, Taravatsadat, Ismail, Napsiah

    Published 2010
    “…Thereupon, a fuzzy simulation-based genetic algorithm is provided for solving chance constrained integer programming model with fuzzy parameters.…”
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  7. 7
    Determinants to knowledge transfer and sharing in multimedia super corridor in Malaysia : the mediating role of trust

    Determinants to knowledge transfer and sharing in multimedia super corridor in Malaysia : the mediating role of trust by Meddour, Houcine

    Published 2016
    “…Based on knowledge creation theory, this study examines the determinants of knowledge transfer and sharing in MSC status organizations in Malaysia. …”
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  8. 8
    Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm

    Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

    Published 2025
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  9. 9
    Artificial Neural Network Algorithms to Predict the Compressive Strength of Fly Ash-Based Geopolymers

    Artificial Neural Network Algorithms to Predict the Compressive Strength of Fly Ash-Based Geopolymers by Siaw Hui, Teo

    Published 2025
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  10. 10
    Optimizing decentralized exam timetabling with a discrete whale optimization algorithm

    Optimizing decentralized exam timetabling with a discrete whale optimization algorithm by Emily Sing Kiang Siew, San nah sze, Say leng goh

    Published 2025
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  11. 11
    Development Of Automatic Liver Segmentation Method For Three- Dimensional Computed Tomography Dataset

    Development Of Automatic Liver Segmentation Method For Three- Dimensional Computed Tomography Dataset by Chew, Chin Boon

    Published 2018
    “…The low contrast of liver boundary with neighbouring organs, high shape variability of liver, presence of noise in image and presence of various liver pathologies make liver segmentation very challenging. …”
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  12. 12
    An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection

    An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection by Ayodele Nojeem, Lasisi

    Published 2018
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  13. 13
    Design & Development of a Robotic System Using LEGO Mindstorm

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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  14. 14
    Effect of business social responsibility (BSR) on performance of SMEs in Nigeria

    Effect of business social responsibility (BSR) on performance of SMEs in Nigeria by Gorondutse, Abdulahi Hassan

    Published 2014
    “…Improved performance of organizations can advance the social responsibility practices in organizations. …”
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  15. 15
    A numerical study on longitudinal vibration for fixed free bar using finite difference method and discretization technique

    A numerical study on longitudinal vibration for fixed free bar using finite difference method and discretization technique by Mohd Azli, Salim, Aminurrashid, Noordin, Mohd Zaid, Akop, Muhd Ridzuan, Mansor

    Published 2010
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  16. 16
    Combustion modelling of an industrial municipal waste combustor in Malaysia

    Combustion modelling of an industrial municipal waste combustor in Malaysia by Hussain, Ahmad, Ani, Farid Nasir, Sulaiman, Norzalia, Adnan, Mohammed Fadzil

    Published 2006
    “…The 3D modelling was based on conservation equations for mass, momentum and energy. …”
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  17. 17
    Mortality prediction in critically ill patients using machine learning score

    Mortality prediction in critically ill patients using machine learning score by Dzaharudin, Fatimah, Md Ralib, Azrina, Jamaludin, Ummu Kulthum, Mat Nor, Mohd Basri, Tumian, Afidalina, Har, Lim Chiew, Ceng, T C

    Published 2020
    “…The aim of this study is to develop a machine learning (ML) based algorithm to improve the prediction of patient mortality for Malaysian ICU and evaluate the algorithm to determine whether it improves mortality prediction relative to the Simplified Acute Physiology Score (SAPS II) and Sequential Organ Failure Assessment Score (SOFA) scores. …”
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  18. 18
    Mortality prediction in critically ill patients using machine learning score

    Mortality prediction in critically ill patients using machine learning score by Fatimah, Dzaharudin, Azrina, Md Ralib, Ummu Kulthum, Jamaludin, Mohd Basri, Mat Nor, Afidalina, Tumian, Har, Lim Chiew, Ceng, T. C.

    Published 2020
    “…The aim of this study is to develop a machine learning (ML) based algorithm to improve the prediction of patient mortality for Malaysian ICU and evaluate the algorithm to determine whether it improves mortality prediction relative to the Simplified Acute Physiology Score (SAPS II) and Sequential Organ Failure Assessment Score (SOFA) scores. …”
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  19. 19
    Multivariate Optimization of Biosynthesis of Triethanolamine-Based Esterquat Cationic Surfactant Using Statistical Algorithms

    Multivariate Optimization of Biosynthesis of Triethanolamine-Based Esterquat Cationic Surfactant Using Statistical Algorithms by Fard Masoumi, Hamid Reza

    Published 2011
    “…The next objective of the current study was to compare the performance of aforementioned algorithms with regard to predicting ability. The investigation of TEA-based esterquat cationic surfactant synthesis was started in a 50 ml scale. …”
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  20. 20
    Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis

    Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis by Adnani, Seyedeh Atena

    Published 2011
    “…By using Taguchi method and ANN, the actual conversions of esters achieved were 74% (xylitol caprate), 69% (xylitol caprylate), and 60.5% (xylitol caproate) with a small amount of enzyme and molecular sieve, which matched well with the predicted values and indicated good conversion and effectiveness of the reactions without adding organic solvent for synthesis of xylitol esters. A comparison between one variable at a time, Taguchi method and artificial neural network shows that both Taguchi and ANN can reduce the amount of enzyme, amount of molecular sieve, reaction time and molar ratio in solvent based and solvent free system. …”
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