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  1. 1
    A novel computer-aided multivariate water quality index

    A novel computer-aided multivariate water quality index by Siong, Fong Sim, Teck, Yee Ling, Seng, Lau, Mohd Zuli, Jaafar

    Published 2015
    “…A computer-aided multivariate water quality index is developed based on partial least squares (PLS) regression. …”
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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
    Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring

    Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring by Amar Lokman, Wan Zakiah Wan Ismail, Nor Azlina Ab Aziz, Anith Khairunnisa Ghazali

    Published 2026
    journal::journal article
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  4. 4
    The effectiveness of energy management system on energy efficiency in the building

    The effectiveness of energy management system on energy efficiency in the building by Abdullah, Haim Hilman, Abubakar, Ahmed, Kaliappen, Narentheren

    Published 2017
    “…Higher Education sector of any country plays a pivotal role in national development.If such a key sector is weak, there is every likelihood that research, development and innovation will be week.The purpose of this study was to examine the effects of quality culture on university performance.The hypothesis was developed based on the extant literature. …”
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  5. 5
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…The empirical results for both algorithms performed well as compared to other models selection procedures, particularly using WQI data where the sample size is bigger and has good quality data. …”
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  6. 6
    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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  7. 7
    Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent

    Partial least squares integrated national water quality standards (NWQS) for indexing of water quality from industrial effluent by Emmanuel, Freda

    Published 2015
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  8. 8
    Statistical computing for forensic firearm pattern identification: Evaluating a fisher linear discriminant analysis-based algorithm against fixed-impulse noise

    Statistical computing for forensic firearm pattern identification: Evaluating a fisher linear discriminant analysis-based algorithm against fixed-impulse noise by Chuan, Zun Liang, Abraham Lim, Bing Sern, Tan, Chek Cheng, Abdul Aziz, Jemain, Liong, Choong-Yeun

    Published 2025
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  9. 9
    Monitoring the Quality of Ozone towards the Prevention of Further Global Warming

    Monitoring the Quality of Ozone towards the Prevention of Further Global Warming by Abas, M. Amir, Azim, M.Khusairy, Fadzil, M.Helmi, M.Dahlui, UniKL BMI

    Published 2013
    “…The data logger uses 16-Bit Microcontroller as the main control board housing data logger algorithm, Solar Tracker algorithm and data storage block. …”
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  10. 10
    Analysis of sequence batch reactor for COD and TSS removal identification from septic sludge treatment plant using bio inspired algorithm: a case study in Sarawak

    Analysis of sequence batch reactor for COD and TSS removal identification from septic sludge treatment plant using bio inspired algorithm: a case study in Sarawak by Sie Chun, Ting, Ismail , Amelia Ritahani, Abdul Malik, Marlinda

    Published 2012
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  11. 11
    Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng

    Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng by Loh , Yuen Peng

    Published 2018
    “…However, current studies in low-light fundamentally lack an indepth understanding of natural vision in low-light that would strengthen the development of effective algorithms. This has subsequently restricted the development of well-rounded systems that would aid in low-light environments, such as assistive systems, surveillance, and autonomous car driving. …”
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  12. 12
    Automatic search for break points in printed circuit board using intelligent visual system based on Dsp algorithms

    Automatic search for break points in printed circuit board using intelligent visual system based on Dsp algorithms by Syed Abu Bakar, Syed Abdul Rahman

    Published 2003
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  13. 13
    Development of soft computing prediction model for the influent physicochemical characteristics of sewage treatment plants / Mozafar Ansari

    Development of soft computing prediction model for the influent physicochemical characteristics of sewage treatment plants / Mozafar Ansari by Mozafar , Ansari

    Published 2021
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  14. 14
    Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm

    Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm by Zhao, Jing, Du, Xiao Fei, Lin, Jun, Guo, Wei Wei, Wang, Shao Peng, Yang, Fan

    Published 2026
    “…Logistic regression and XGBoost algorithm were employed to examine the determinants of home nursing utilization. …”
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  15. 15
    The Potential of High Density Scanner Technique for Terrestrial Surface Displacement Studies in Malaysia

    The Potential of High Density Scanner Technique for Terrestrial Surface Displacement Studies in Malaysia

    Published 2009
    “…HDS technology is a surveying method conceived more than ten years ago that in a short time can supply DSM (Digital Surface Model) and good quality DTM as a result of elaborations with specific filtering and interpolation algorithms; only recently has this technique shown growth in development and applications. …”
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  16. 16
    Application of data mining techniques for economic evaluation of air pollution impact and control

    Application of data mining techniques for economic evaluation of air pollution impact and control by Lukman, Iing

    Published 2007
    “…In this research we examine aspects of the interdependence between economic development and the use of environmental and natural resources assets from global data published by United Nations. …”
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  17. 17
    Development of XGboost model for wave overtopping using enhanced clash database / Mohamed Tarek Mohamed Fouad

    Development of XGboost model for wave overtopping using enhanced clash database / Mohamed Tarek Mohamed Fouad by Mohamed Tarek , Mohamed Fouad

    Published 2024
    “…This thesis presents a comprehensive study on estimation of wave overtopping using (XGB) algorithm, with a focus on both model development and experimental validation. …”
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  18. 18
    Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era

    Humanizing AI in Higher Education: Rethinking HR, Ethics, and Skill Development for University Employees in the SDG Era by Shreeja, Nair, Kritika, Banka, Ankur, Pandya

    Published 2025
    “…Based on these findings, the paper proposes a Humanizing AI in Higher Education Framework focusing on ethical accountability, diversified HR policies, and continuous professional learning, aligned with the United Nations Sustainable Development Goals (SDG 4 - Quality Education, SDG 8 - Decent Work, and SDG 16 - Peace, Justice, and Strong Institutions). …”
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  19. 19
    Enhancing predictive performance in statistical modeling: Innovative hybrid best subset feature selection for rice production in Malaysia

    Enhancing predictive performance in statistical modeling: Innovative hybrid best subset feature selection for rice production in Malaysia by Chuan, Zun Liang, Abraham Lim, Bing Sern, Ren Sheng, Tham, David Lau, King Luen, Tan, Chek Cheng

    Published 2025
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  20. 20
    Predicting the onset of acute coronary syndrome events and in-hospital mortality using machine learning approaches / Song Cheen

    Predicting the onset of acute coronary syndrome events and in-hospital mortality using machine learning approaches / Song Cheen by Song , Cheen

    Published 2023
    “…This study used a comprehensive methodology to investigate the relationship between air pollution and ACS patient outcomes utilizing machine learning (ML) algorithms, including: 1) Linear Regression, 2) Logistic Regression, 3) Support Vector Machine (SVM), 4) Random Forest (RF), 5) XGBoost, 6) Naïve Bayes (NB), and 7) Stacked Ensemble ML utilizing data from the National Cardiovascular Disease Database (NCVD) Malaysia registry and air quality data from the Department of Environment (DOE) Malaysia. …”
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