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  1. 1
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
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  2. 2
    Age And Gender Recognition Mobile App

    Age And Gender Recognition Mobile App by Wee, Quo Lung

    Published 2023
    “…In addition, the User Interface (UI) of the existing mobile app is unappealing. Therefore, this study aimed to develop age and gender recognition mobile application using deep learning algorithm. …”
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    Final Year Project Report / IMRAD
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  3. 3
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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    Thesis
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  4. 4
    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir

    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir by Amir, Nur Hazirah

    Published 2019
    “…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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  5. 5
    A New Mobile Botnet Classification based on Permission and API Calls

    A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

    Published 2024
    “…Every day, more and more malicious mobile applications (apps) with the botnet capability have been developed to exploit end users' smartphones. …”
    Proceedings Paper
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  6. 6
    My little learner: E-learning wonderland

    My little learner: E-learning wonderland by Teoh, Wei En

    Published 2025
    “…The emphasis will be on providing an exciting and inspiring experience through interactive games, storytelling, and multimedia activities. The app will also use adaptive learning algorithms to tailor the instructional material to each child's unique learning style and speed. …”
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    Final Year Project / Dissertation / Thesis
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  7. 7
    My little learner : E-learning wonderland

    My little learner : E-learning wonderland by Teoh, Wei En

    Published 2025
    “…The emphasis will be on providing an exciting and inspiring experience through interactive games, storytelling, and multimedia activities. The app will also use adaptive learning algorithms to tailor the instructional material to each child's unique learning style and speed. …”
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  8. 8
    Nutrilife: Empowering health with diet and nutrition app

    Nutrilife: Empowering health with diet and nutrition app by Tan, Yuki Lok Yee

    Published 2024
    “…Using MediaPipe and deep learning algorithms, the app track and analyses users' movements during exercises such as squats and bicep curls, providing corrections to improve technique. …”
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  9. 9
    NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan

    NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan by Roslan, Muhammad Amirul

    Published 2025
    “…Performance testing confirmed the app's responsiveness and efficiency. Future enhancements, such as advanced machine learning algorithms and user interface improvements, are proposed to further enhance functionality. …”
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  10. 10
    Malware visualizer: A web apps malware family classification with machine learning

    Malware visualizer: A web apps malware family classification with machine learning by Mohd Zamri, Osman, Ahmad Firdaus, Zainal Abidin, Rahiwan Nazar, Romli

    Published 2021
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    Conference or Workshop Item
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  11. 11
    A new mobile botnet classification based on permission and API calls

    A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

    Published 2024
    Conference Paper
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  12. 12
    AI powered asthma prediction towards treatment formulation : An android app approach

    AI powered asthma prediction towards treatment formulation : An android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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    Article
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  13. 13
    BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning

    BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning by Chimeleze C., Jamil N., Ismail R., Lam K.-Y., Teh J.S., Samual J., Akachukwu Okeke C.

    Published 2023
    Article
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  14. 14
    Campus study buddy : collaborative learning and resource sharing app

    Campus study buddy : collaborative learning and resource sharing app by Huang, Yifan

    Published 2024
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    Final Year Project / Dissertation / Thesis
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  15. 15
    AI powered asthma prediction towards treatment formulation: an android app approach

    AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

    Published 2022
    “…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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  16. 16
    Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin

    Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin by Husam , N. S. Yasin

    Published 2021
    “…Hence, it proposes a Q-Learning-based test coverage approach developed in DroidbotX to generate GUI test cases for Android apps. …”
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  17. 17
    Development of machine learning-based algorithm to determine the condition in transformer oil

    Development of machine learning-based algorithm to determine the condition in transformer oil by Mohsen Al-Katheri, Hussein Hasan

    Published 2021
    “…Machine Learning (ML) algorithm have been utilized to detect the fault more accurate. …”
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  18. 18
    Context aware app recommendation using email semantic analysis

    Context aware app recommendation using email semantic analysis by Tang, Zi Cong

    Published 2019
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    Final Year Project / Dissertation / Thesis
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  19. 19
    A mobile application system for parking validation based on deep learning image processing / Alias Deraman and Muhammad Izz Kamaruddin

    A mobile application system for parking validation based on deep learning image processing / Alias Deraman and Muhammad Izz Kamaruddin by Deraman, Alias, Kamaruddin, Muhammad Izz

    Published 2023
    “…A deep learning algorithm be implemented to validate car identification and extract the owner details. …”
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    Book Section
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  20. 20
    E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan

    E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan by Mohd Ridzuan, Nur Hafizah

    Published 2020
    “…TF-IDF Algorithm technique is performed to develop system by calculating the most relevant pages in the textbook based on keyword that entered by user’s query. …”
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