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  1. 1
    Mental health detection based on facial recognition using CNN algorithm / Muhammad Azim Azfar Rozihan

    Mental health detection based on facial recognition using CNN algorithm / Muhammad Azim Azfar Rozihan by Rozihan, Muhammad Azim Azfar

    Published 2025
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  2. 2
    Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation

    Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation by Illias, Hazlee Azil, Wee, Zhao Liang

    Published 2018
    “…It was found that the proposed hybrid SVM-Modified EPSO (MEPSO)-Time Varying Acceleration Coefficient (TVAC) technique results in the highest correct identification percentage of faults in a power transformer compared to other PSO algorithms. …”
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  3. 3
    Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman

    Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman by Abdul Rahman, Muhammad Faiz Hazim

    Published 2022
    “…It is intended that this initiative would deliver benefits to all of the users and be useful to them.…”
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  4. 4
    Polycystic Ovary Syndrome (PCOS) prediction system using PSO-SVM / Lukman Hakim Shaufee, Hamidah Jantan and Ummu Fatihah Mohd Bahrin

    Polycystic Ovary Syndrome (PCOS) prediction system using PSO-SVM / Lukman Hakim Shaufee, Hamidah Jantan and Ummu Fatihah Mohd Bahrin by Shaufee, Lukman Hakim

    Published 2024
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  5. 5
    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
    “…These analyses provide nuanced insights into system operational dynamics and efficiency. Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
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  6. 6
    Classification of Learner Retention using Machine Learning Approaches

    Classification of Learner Retention using Machine Learning Approaches by Nur Amalina Diyana Suhaimi , Norshaliza Kamaruddin, Thirumeni T Subramaniam, Nilam Nur Amir Sjarif, Maslin Masrom, Nurazean Maarop

    Published 2021
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    Conference or Workshop Item
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  7. 7
    Autonomous self-exam monitoring for early diabetes detection

    Autonomous self-exam monitoring for early diabetes detection by Rohana, Abdul Karim, Nur Alia Fatiha, Azhar, Nurul Wahidah, Arshad, Nor Farizan, Zakaria, M. Zabri, Abu Bakar

    Published 2020
    “…An autonomous self-exam monitoring is developed in order to assist the physicians in identifying diabetes at the early stage. Iris image is used to recognise the early detection of diabetes. …”
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  8. 8
    HelpMe: early detection of university students' mental health issues using a chatbot-integrated dashboard / Nadia Abdul Wahab ... [et al.]

    HelpMe: early detection of university students' mental health issues using a chatbot-integrated dashboard / Nadia Abdul Wahab ... [et al.] by Nadia Abdul Wahab, Nadia Abdul Wahab, Ahmad Asyraf Zainudin, Ahmad Asyraf Zainudin, Norfiza Ibrahim, Norfiza Ibrahim, Aznoora Osman, Aznoora Osman, Abdul Hapes Mohammed, Abdul Hapes Mohammed

    Published 2025
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  9. 9
    Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias

    Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias by Alias, Annasuha Atie Atirah

    Published 2023
    “…Existing machine learning models for sentiment analysis and suicide prediction lack a comprehensive user-friendliness system for the end users. Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
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  10. 10
    Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning

    Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning by Alsumaidaee Y.A.M., Yaw C.T., Koh S.P., Tiong S.K., Chen C.P., Ali K.

    Published 2023
    Review
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  11. 11
    A conceptual framework for a lightweight AI system for skin disease risk prediction using epidemiological data in rural Bangladesh

    A conceptual framework for a lightweight AI system for skin disease risk prediction using epidemiological data in rural Bangladesh by Islam, Mohammad Raihanul, Abdul Kadir, Andi Fitriah, Ismail, Syazwan Aizat

    Published 2026
    “…The findings further support the practical feasibility of deploying the proposed model in resourcelimited rural clinics to aid early risk identification and more efficient allocation of healthcare resources. …”
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  12. 12
    A PLC-based Hybrid Fuzzy PID Controller for PWM-driven Variable Speed Drive

    A PLC-based Hybrid Fuzzy PID Controller for PWM-driven Variable Speed Drive by ARROFIQ, MUHAMMAD

    Published 2010
    “…A simulation model in MA TLAB/Simulink is developed using system identification technique to perform verification of the PLCbased intelligent controller of the PWM-driven VVVF algorithm. …”
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  13. 13
    An AI-based mental health and loneliness support plushie

    An AI-based mental health and loneliness support plushie by Norazhar, Fatin Nabila, Jamil, Muhammad Faris Fakhri, Baharum, Nuur Aleeysa, Roslan, Rohaiza

    Published 2025
    “…Concerning areas like data privacy, ethical use, algorithmic prejudice, and AI's inability to completely duplicate human empathy must be addressed. …”
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    Book Section
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  14. 14
    Design of intelligent Qira’at identification algorithm

    Design of intelligent Qira’at identification algorithm by Kamarudin, Noraziahtulhidayu

    Published 2017
    “…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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  15. 15
    Identification of microcalcification in mammographic images / Noor Azliza Abdul Shauti

    Identification of microcalcification in mammographic images / Noor Azliza Abdul Shauti by Abdul Shauti, Noor Azliza

    Published 2008
    “…By using this identification, it can simulate in flexible images post processing and analysis in easy image management using Java aplication. …”
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  16. 16
    Early Detection Of ADHD Among Children Using Machine Learning

    Early Detection Of ADHD Among Children Using Machine Learning by Nur Atiqah, Kamal

    Published 2023
    “…Early identification using fMRI and machine learning holds great potential for improving the lives of children with ADHD through timely interventions and targeted support.…”
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    Undergraduates Project Papers
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  17. 17
    Comparative study on leaf disease identification using Yolo v4 and Yolo v7 algorithm

    Comparative study on leaf disease identification using Yolo v4 and Yolo v7 algorithm by Wang, Xinming, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Mohd Idris Shah

    Published 2023
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  18. 18
    Malware Detection using Deep Learning (DL)

    Malware Detection using Deep Learning (DL) by Chowdhury Sajadul Islam, Madihah Mohd Saudi, Nur Hafiza Zakaria, Muji Setiyo

    Published 2024
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  19. 19
    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues

    Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues by Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali *, Siti Maryam, Ahmad Kendong, Hajar, Fauzan Ahmad

    Published 2024
    “…•Detailed method to identify the gut mycobiome in colorectal cancer patients using ITS-specific amplicon sequencing. •Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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  20. 20
    Development of MyCGPA for early predicting students’ academic performance

    Development of MyCGPA for early predicting students’ academic performance by Abdul Mutalib, Muhammad Yazid, Zainol, Zuraini, Nohuddin, Puteri Nor Ellyza, Abdul Rauf, Ummul Fahri

    Published 2025
    “…One of the primary concerns in higher education is the early identification of underperforming students. …”
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