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  1. 1
    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing

    Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing by Goh, Kwang Yi

    Published 2023
    “…Thus, these techniques are unable to detect failures that occur due to the improper use of context data, which is becoming an increasingly common issue in mobile applications nowadays. We enhanced the Q-Learning algorithm for action selection based on potential action abilities and proposed a tool, namely CrashDroid, that allows the automation of testing context-aware Android applications. …”
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  2. 2
    Review on ubiquitous education system with multi-agent synchronization on mobile learning application environment

    Review on ubiquitous education system with multi-agent synchronization on mobile learning application environment by Mwinyi, Amir Kombo, Syed Mohamed, Syed Abdul Rahman Al Haddad, Abdullah, Rusli, Hashim, Shaiful Jahari

    Published 2012
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  3. 3
    Improving the exploration strategy of an automated android GUI testing tool based on the Q-Learning algorithm by selecting potential actions

    Improving the exploration strategy of an automated android GUI testing tool based on the Q-Learning algorithm by selecting potential actions by Goh, Kwang Yi, Baharom, Salmi, Din, Jamilah

    Published 2022
    “…Furthermore, the proposed techniques based on the Q-Learning algorithm do not consider context-based actions. …”
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  4. 4
    Insomnia audio therapy mobile application with music recommender system / Nur Azmina Mohamad Zamani, Nasiroh Omar and Nur Damira Huda Azmi

    Insomnia audio therapy mobile application with music recommender system / Nur Azmina Mohamad Zamani, Nasiroh Omar and Nur Damira Huda Azmi by Mohamad Zamani, Nur Azmina, Omar, Nasiroh, Azmi, Nur Damira Huda

    Published 2022
    “…For the machine learning training and testing purposes, data was collected based on the simulated run of the proposed insomnia audio therapy mobile application. …”
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  5. 5
    Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification

    Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification by Ling, Hui Yean

    Published 2025
    “…This study investigated the feasibility and effectiveness of image-based techniques using advanced deep learning algorithms to quantify desiccation cracks in expansive soils. …”
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  6. 6
    Convolutional neural network based mobile application for poisonous mushroom detection

    Convolutional neural network based mobile application for poisonous mushroom detection by Amirul, Shazlin Nizam, Mohd Sabri, Norlina, Gloria, Jennis Tan, Redwan, Nurul Ainina, Zhiping, Zhang

    Published 2025
    “…To address these issues, this study aims to develop a mushroom detection prototype specifically for identifying poisonous mushrooms using a mobile application. The application leverages a Convolutional Neural Network (CNN) algorithm to accurately classify mushrooms based on user-submitted images. …”
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  7. 7
    Deep learning-based single-shot and real-time vehicle detection and ego-lane estimation

    Deep learning-based single-shot and real-time vehicle detection and ego-lane estimation by Abdul Matin, M. A. A., Ahmad Fakhri, A. S., Mohd Zaki, Hasan Firdaus, Zainal Abidin, Zulkifli, Mohd Mustafah, Y., Abd Rahman, H., Mahamud, N. H., Hanizam, S., Ahmad Rudin, N. S.

    Published 2020
    “…In practice, it is exceptionally hard to accurately and efficiently develop an algorithm for FCWS application due to the complexity of steps involved in FCWS. …”
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  8. 8
    Development of a Wireless PC-Controlled Mobile Robot System and Multimedia Based Learning Module

    Development of a Wireless PC-Controlled Mobile Robot System and Multimedia Based Learning Module by Mujber, Tariq Saad

    Published 2001
    “…Multimedia technology provides a valuable resource to enhance the teaching and learning experience. The ability to combine practical applications and visualization is among the advantages of technology based training and teaching. …”
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  9. 9
    Developing Android Application To Guide Lean Six Sigma PDCA Project

    Developing Android Application To Guide Lean Six Sigma PDCA Project by Ong, Sin Joo

    Published 2018
    “…This often leads to confusions and misuse of lean tools. Mobile application grows rapidly with abundant of application development. …”
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  10. 10
    CNN integrated mobile application: food image recognition for recipe generation

    CNN integrated mobile application: food image recognition for recipe generation by Nor Azlan Shah, Muhammad Imran, Norlina Mohd Sabri, Norlina, Tan, Gloria Jennis, Zhang, Zhiping

    Published 2025
    “…The rapidly advancing of the digital world has encouraged the use of mobile applications in almost every aspects of our everyday life. …”
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  11. 11
    A malware analysis and detection system for mobile devices / Ali Feizollah

    A malware analysis and detection system for mobile devices / Ali Feizollah by Ali, Feizollah

    Published 2017
    “…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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  12. 12
    Empirical study on intelligent android malware detection based on supervised machine learning

    Empirical study on intelligent android malware detection based on supervised machine learning by Abdullah, Talal A.A., Ali, Waleed, Abdulghafor, Rawad Abdulkhaleq Abdulmolla

    Published 2020
    “…In response, specific tools and anti-virus programs used conventional signature-based methods in order to detect such Android malware applications. …”
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  13. 13
    Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques

    Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques by Ng, Jiun Shen

    Published 2022
    “…This project is about predicting energy consumption patterns based on trending videos on YouTube 2021 by using machine learning techniques. …”
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  14. 14
    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil

    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil by Idris, Siti Aishah, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
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  15. 15
    Software agent as an effective tool for managing the Internet of thing data complexity

    Software agent as an effective tool for managing the Internet of thing data complexity by Mustafa, M.B., Yusoof, M.A.M.

    Published 2017
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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
    “…The computation time complexity of the Q-Learning-based test coverage algorithm was also analyzed. …”
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  17. 17
    Power of alignment: exploring the effect of face alignment on ASD diagnosis using facial images

    Power of alignment: exploring the effect of face alignment on ASD diagnosis using facial images by Alam, Mohammad Shafiul, Rashid, Muhammad Mahbubur, Faizabadi, Ahmed Rimaz, Mohd Zaki, Hasan Firdous

    Published 2024
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  18. 18
    SMSAD: a framework for spam message and spam account detection

    SMSAD: a framework for spam message and spam account detection by Adewole, Kayode Sakariyah, Anuar, Nor Badrul, Kamsin, Amirrudin, Sangaiah, Arun Kumar

    Published 2019
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  19. 19
    A Mobile Application For Stock Price Prediction

    A Mobile Application For Stock Price Prediction by Choy, Yi Tou

    Published 2021
    “…Novice investors are limited to specific investment knowledge and lack investment tools to gain wealth in the stocks’ markets. A mobile application for stock price prediction using time series algorithms is developed to tackle the problem mentioned. …”
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  20. 20
    A new mobile malware classification for call log exploitation

    A new mobile malware classification for call log exploitation by Madihah Mohd Saudi, Nurlida Basir, Mohd N.F.

    Published 2024
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