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  1. 1
    Rao-SVM machine learning algorithm for intrusion detection system

    Rao-SVM machine learning algorithm for intrusion detection system by Abd, Shamis N., Alsajri, Mohammad, Ibraheem, Hind Raad

    Published 2020
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  2. 2
    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms

    First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms by Azwa, Abdul Aziz, Fadhilah, Ahmad

    Published 2014
    “…From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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  3. 3
    Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii

    Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii by Shafii, Muhammed Khaleeq

    Published 2012
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  4. 4
    Weed recognition based on erosion and dilation segmentation algorithm

    Weed recognition based on erosion and dilation segmentation algorithm by S., Sulaiman, M.H., Siddiqi, I., Ahmad

    Published 2009
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  5. 5
    Implementation of a new Preference Based Final Year Project title selection system for undergraduate engineering students in UNITEN

    Implementation of a new Preference Based Final Year Project title selection system for undergraduate engineering students in UNITEN by Hasan M.H., Mohamed Sahari K.S., Anuar A.

    Published 2023
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  6. 6
    Feature selection with integrated Gaussian seahorse optimization data mining for cross-border business cooperation between the Malaysian medical industry and tourism industry

    Feature selection with integrated Gaussian seahorse optimization data mining for cross-border business cooperation between the Malaysian medical industry and tourism industry by Ma, Yuaner, Jabar, Juhaini, Abdul Aziz, Nor Azah

    Published 2023
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  7. 7
    Determining Suitable Program For SPM Holder Using Neural Network Approach

    Determining Suitable Program For SPM Holder Using Neural Network Approach by Noraisah, Sudin

    Published 2002
    “…Therefore, NN has a great potential in supporting the policy development for the current education.…”
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  8. 8
    Raising kids in the age of algorithms challenges of digital parenting

    Raising kids in the age of algorithms challenges of digital parenting by Mad Baguri, Ezza, Masaad Al Attabi, Dalal Shafi, Teshome Taddese, Esayas, Ahmad, Noorlila, Merkine Gebresilase, Bereket, Pg Petra, Pg Nur Ashikin

    Published 2026
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  9. 9
    Classroom finder system with student availability, space and time constraint

    Classroom finder system with student availability, space and time constraint by Loh, Yong Bin

    Published 2024
    “…Scrum methodology was selected for the development methodology of this project while the tools of HTML, CSS, JavaScript, Bootstrap, Jinja2 Template Engine, Flask, SQLite and VS Code are used in the development of this project. …”
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  10. 10
    A Multi-Criteria Decision-Making Approach for Targeted Distribution of Smart Indonesia Card (KIP) Scholarships

    A Multi-Criteria Decision-Making Approach for Targeted Distribution of Smart Indonesia Card (KIP) Scholarships by Komang, Aryasa

    Published 2025
    “…Education is fundamental to developing quality human resources, as stated in the 1945 Constitution. …”
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  11. 11
    ScholarsAid: a personalized scholarship web application based on web scraping/ Muhammad Nur Haqeem Sulaiman and Norhasliza Ahmad

    ScholarsAid: a personalized scholarship web application based on web scraping/ Muhammad Nur Haqeem Sulaiman and Norhasliza Ahmad by Sulaiman, Muhammad Nur Haqeem, Ahmad, Norhasliza

    Published 2023
    “…Moreover, the application can also benefit scholarship providers by making the selection process more efficient and targeted. In addition, the web application can contribute to the broader social and economic benefits of higher education.…”
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  12. 12
    Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network

    Efficient and stable routing algorithm based on user mobility and node density in urban vehicular network by Al-Mayouf, Y.R.B., Ismail, M., Abdullah, N.F., Wahab, A.W.A., Mahdi, O.A., Khan, S., Choo, R.K.K.

    Published 2016
    “…An appropriate, efficient, and stable routing algorithm must be developed for various VANET applications to address the issues of dynamic topology and intermittent connectivity. …”
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  13. 13
    Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif

    Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif by Jantan, Hamidah, Mat Yusof, Norazmah, Abdul Latif, Mohd Hanapi

    Published 2014
    “…The objective of this study is to suggest the potential classification model for talent forecasting throughout some experiments using SVM learning algorithm. In the experimental phase, we use employee’s performance data from selected organization to develop talent classification model which can be used to handle some tasks in talent management. …”
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  14. 14
    Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences

    Computational Thinking Through Unplugged Programming Activities : Exploring Students’ Learning Experiences by Lim, Bih Loong

    Published 2019
    “…Based on their pre-test and post-test results, nine of them were selected for individual interview. The result shows that there is no significant effect of the learning material in increasing the participants’ algorithm skill. …”
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  15. 15
    Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE

    Deep learning model for predicting and detecting overlapping symptoms of cardiovascular diseases in hospitals of UAE by Abbas Alhadeethy, Najwa Fadhil, Khedher, Akram M Z M, Shah, Asadullah

    Published 2012
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  16. 16
    Impact of optimizer on the MLP-based models for student performance classification

    Impact of optimizer on the MLP-based models for student performance classification by Osman, Fairul Nazmie, Abdul Aziz, Mohd Azri, Mohd Yassin, Ihsan, Taib, Mohd Nasir

    Published 2025
    “…By combining RFE with a careful selection of adaptive optimizers, this research underscores a robust methodology for developing MLP models capable of effectively analyzing educational data. …”
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  17. 17
    Chatbot development in data representation for diabetes education

    Chatbot development in data representation for diabetes education by Abbas Saliimi, Lokman

    Published 2011
    “…This thesis deals with an investigation towards developing an application package named E-CARE to function as Computer Aided Education (CAE) in the domain of Diabetes. …”
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  18. 18
    Quality inspection of engraved image using based matching approach

    Quality inspection of engraved image using based matching approach by Norazlina , Ahmad, Marizan, Sulaiman, Muhamad Khairi, Aripin

    Published 2011
    “…Several objects are engraved on the acrylic souvenir bases with different color background to test the algorithm. This experiment result shows that the algorithm works better with detection rate of 100% and matching accuracy of more than 98%. …”
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  19. 19
    Automated Examination Timetabling System (AETSys) / Ariff Md Ab Malik

    Automated Examination Timetabling System (AETSys) / Ariff Md Ab Malik by Md Ab Malik, Ariff, Haruddin, Hanitahaiza, Alwi, Anisah, Mohamed, Khainizam

    Published 2013
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  20. 20
    Imbalanced Classification Methods for Student Grade Prediction : A Systematic Literature Review

    Imbalanced Classification Methods for Student Grade Prediction : A Systematic Literature Review by Siti Dianah, Abdul Bujang, Ali, Selamat, Ondrej, Krejcar, Farhana, Mohamed, Cheng, Lim Kok, Chiu, Po Chan, Hamido, Fujita

    Published 2023
    “…Therefore, this study aims to review the existing research article by providing a state-of-the-art approach for handling imbalanced classification in higher education, including the best practices of dataset characteristics, methods, and comparative analysis of the proposed algorithms, focusing on student grade prediction context problems. …”
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