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  1. 1
    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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  2. 2
    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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  3. 3
    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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  4. 4
    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
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  5. 5
    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
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  6. 6
    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
    “…The computation time complexity of the Q-Learning-based test coverage algorithm was also analyzed. …”
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  7. 7
    Comparative study of machine learning algorithms in data classification

    Comparative study of machine learning algorithms in data classification by Tan, Kai Jun

    Published 2025
    “…This research conducts a comparative study of various machine learning algorithms for dataset classification to identify the most accurate and reliable classifier. …”
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  8. 8
    Prognostic Health Management of Pumps Using Artificial Intelligence in the Oil and Gas Sector: A Review

    Prognostic Health Management of Pumps Using Artificial Intelligence in the Oil and Gas Sector: A Review by Aliyu, R., Mokhtar, A.A., Hussin, H.

    Published 2022
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  9. 9
    A Symbol Recognition System for Single-Line Diagrams Developed Using a Deep-Learning Approach

    A Symbol Recognition System for Single-Line Diagrams Developed Using a Deep-Learning Approach by Bhanbhro, H., Kwang Hooi, Y., Kusakunniran, W., Amur, Z.H.

    Published 2023
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  10. 10
    Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques

    Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques by Kayalvily, Tabianan, Denis, Arputharaj, Mohd Norshahriel, Abd Rani, Sarasvathi, Nahalingham

    Published 2022
    “…This study aims to predict the ratings of Google Play Store apps using decision trees for classification in machine learning algorithms. …”
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  11. 11
    Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations

    Data-Driven Approach to Modeling Biohydrogen Production from Biodiesel Production Waste: Effect of Activation Functions on Model Configurations by Hossain, S.K.S., Ayodele, B.V., Alhulaybi, Z.A., Alwi, M.M.A.

    Published 2022
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  12. 12
    Malaysia coin identification app using deep learning model

    Malaysia coin identification app using deep learning model by Nazly, D.Q.M., Isawasan, P., Salleh, K.A., Sugathan, S.K.

    Published 2023
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  13. 13
    Digital assistant for workspace apps

    Digital assistant for workspace apps by See, Ling Xuan

    Published 2022
    “…Workspace app, or a digital workspace is a technology framework used to deliver, manage, and centrally controls the components of the IT assets of an organization including apps, data, and endpoints. …”
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  14. 14
    User interface and interactivity design guidelines of algorithm visualization on mobile platform

    User interface and interactivity design guidelines of algorithm visualization on mobile platform by Supli, Ahmad Affandi

    Published 2019
    “…Algorithm Visualization (AV) is a pedagogical tool that can help learners to see the animation of the step-by-step process of an algorithm. …”
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  15. 15
    Maldroid- attribute selection analysis for malware classification

    Maldroid- attribute selection analysis for malware classification by Rahiwan Nazar, Romli, Mohamad Fadli, Zolkipli, Mohd Zamri, Osman

    Published 2019
    “…The experiment evaluated 8000 real data samples and the result showed that InfoGainEval and KNN algorithm are the most selected in attribute selection and classification process.…”
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  16. 16
    Customer behavior analysis based on purchasing history and reviews using automated decision-making systems

    Customer behavior analysis based on purchasing history and reviews using automated decision-making systems by Allur, Naga Sushma, Deevi, Durga Praveen, Dondapati, Koteswararao, Chetlapalli, Himabindu, Kodadi, Sharadha, Perumal, Thinagaran

    Published 2025
    “…Techniques: Then, the decision-making process is used to analyze the customer’s data using the regression algorithm. …”
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  17. 17
    A Neural Network Mobile Learning Application For Autonomous Improvement In A Flexible Manufacturing Environment

    A Neural Network Mobile Learning Application For Autonomous Improvement In A Flexible Manufacturing Environment by Siew , Jit Ping

    Published 2016
    “…To attain this objective, a mobile device loaded with an Android app is used to present information that is processed by a neural network algorithm. …”
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  18. 18
    Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj

    Identifying the correct articulation point of a Quranic letters of the throat (al-halqu) makhraj by Othman, Ahmad Al Baqir, Ahmad, Salmiah, Badron, Khairayu, Altalmas, Tareq M. K.

    Published 2023
    “…The study starts with a lots of data collection from experts in pronouncing the Quranic letters via developed platform and Apps called SanaAlTajweed, data augmentation, data pre-processing, features extraction using MFCC and deep learning model and validation using designed Graphical User Interface (GUI). …”
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  19. 19
    Grammarcheck: a dynamic LL (1) grammar checker using recursive descent parsing with chatbot assistance

    Grammarcheck: a dynamic LL (1) grammar checker using recursive descent parsing with chatbot assistance by Roselan, Nur Athirah Arami, Ibrahim Teo, Noor Hasimah

    Published 2025
    “…LL (1) grammar is crucial for parsing algorithms, but despite that, students often find it difficult to grasp, especially when it comes to applying the 12-step solution process. …”
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  20. 20
    Deep reinforcement learning based resource allocation strategy in cloud-edge computing system

    Deep reinforcement learning based resource allocation strategy in cloud-edge computing system by Ahmed Adhoni, Zameer, Habelalmateen, Mohammed, DR Janardhana, DR Janardhana, Abdul Sattar, Khalid Nazim, Audah, Lukman

    Published 2024
    “…A lot of real time processing as well as resourceintensive apps is what is needed more and thus, cloud-edge computing systems require compelling resource allocation schemes. …”
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