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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
    Mobile game application development using evolutionary algorithms

    Mobile game application development using evolutionary algorithms by Ong, Jia Hui

    Published 2014
    “…Evolutionary Algorithms have never been used on mobile applications, thus it gives a novel idea of utilizing Evolutionary Algorithms in developing applications typically in games for mobile platforms. …”
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  3. 3
    Optimization of ANPR algorithm on android mobile phone

    Optimization of ANPR algorithm on android mobile phone by Mutholib, Abdul, Gunawan, Teddy Surya, Chebil, Jalel, Kartiwi, Mira

    Published 2013
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  4. 4
    Neighbour-based on-demand routing algorithms for mobile ad hoc networks

    Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

    Published 2017
    “…In terms of the applications, The DCFP is more suitable to be used for education applications, while the SNBR is a good algorithm designed to be used for rescue system as data and energy is the main concern. …”
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  5. 5
    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition

    A comparison study of classifier algorithms for mobile-phone’s accelerometer based activity recognition by Ayu, Media Anugerah, Ismail, Siti Aisyah, Abdul Matin, Ahmad Faridi, Mantoro, Teddy

    Published 2012
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  6. 6
    VITILIGO LESION ASSESSMENT TOOL ON SMARTPHONE

    VITILIGO LESION ASSESSMENT TOOL ON SMARTPHONE by BORETSKAYA, VIKTORIYA

    Published 2013
    “…However, ICA algorithm is not an easy task for any hardware platform, especially for portable devices, mobiles [17]. …”
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  7. 7
    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
    “…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 propose a tool, namely the Crash Droid, that allows the automation of testing context-aware Android applications. …”
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  8. 8
    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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  9. 9
    Designing and implementation of robot mapping algorithm for mobile robot

    Designing and implementation of robot mapping algorithm for mobile robot by Ismail , Amelia Ritahani, Desia, Recky, Zuhri, Muhammad Fuad Reza, Daniel, Raja Muhammad

    Published 2014
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  10. 10
    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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  11. 11
    Donatenow: a crowdsourcing-based mobile application with geolocation and content-based filtering algorithm / Siti Rahayu Abdul Aziz and Nur Aqilah Balkis Hafiz Abu Bakar

    Donatenow: a crowdsourcing-based mobile application with geolocation and content-based filtering algorithm / Siti Rahayu Abdul Aziz and Nur Aqilah Balkis Hafiz Abu Bakar by Abdul Aziz, Siti Rahayu, Hafiz Abu Bakar, Nur Aqilah Balkis

    Published 2023
    “…The objective of this study is to develop a mobile application called DonateNow, designed to establish a charitable crowdsourcing system. …”
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  12. 12
    Donatenow: a crowdsourcing-based mobile application with geolocation and content-based filtering algorithm / Siti Rahayu Abdul Aziz and Nur Aqilah Balkis Hafiz Abu Bakar

    Donatenow: a crowdsourcing-based mobile application with geolocation and content-based filtering algorithm / Siti Rahayu Abdul Aziz and Nur Aqilah Balkis Hafiz Abu Bakar by Abdul Aziz, Siti Rahayu, Hafiz Abu Bakar, Nur Aqilah Balkis

    Published 2023
    “…The objective of this study is to develop a mobile application called DonateNow, designed to establish a charitable crowdsourcing system. …”
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  13. 13
    Restaurant locator using Djikstra Algorithm / Mohamad Aliff Hakimi Lukman Hakim

    Restaurant locator using Djikstra Algorithm / Mohamad Aliff Hakimi Lukman Hakim by Lukman Hakim, Mohamad Aliff Hakimi

    Published 2017
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  14. 14
    Adaptive rapidly-exploring-random-tree-star (Rrt*) -Smart: algorithm characteristics and behavior analysis in complex environments

    Adaptive rapidly-exploring-random-tree-star (Rrt*) -Smart: algorithm characteristics and behavior analysis in complex environments by Jauwairia Nasir, Fahad Islam, Yasar Ayaz

    Published 2013
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  15. 15
    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
    “…The results indicated that Random Forest performed as the best machine learning algorithm in predicting the relevant music. The proposed mobile application with machine learning music recommender system will provide a basis for the realization of intelligent music therapy in treating insomnia disorder patients as well as in other music applications.…”
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  16. 16
    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
    “…The application leverages a Convolutional Neural Network (CNN) algorithm to accurately classify mushrooms based on user-submitted images. …”
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  17. 17
    Hide information usings cryptography based on android platform / Ahmad Farhan Ahmad Husni

    Hide information usings cryptography based on android platform / Ahmad Farhan Ahmad Husni by Ahmad Husni, Ahmad Farhan

    Published 2013
    “…DES algorithm uses public-key system means the algorithm for encrypting and decrypting a message is public know. …”
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  18. 18
    Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions

    Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions by Akhlaqi, Mohammad Yahya, Mohd Hanapi, Zurina

    Published 2023
    “…Many enterprise companies migrate their services and applications to the cloud to benefit from cloud computing advantages. …”
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  19. 19
    Personal mobile-health application

    Personal mobile-health application by Lim, Jeremy Yeu Shuo

    Published 2025
    “…The Android-based mobile health application will employ ML-driven algorithms to diagnose the risk of chronic diseases, giving users personalized early warnings and proactive health management tools. …”
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  20. 20
    A pilot study on the validation of vis-screen mobile application for vision test

    A pilot study on the validation of vis-screen mobile application for vision test by Abdul Mutalib, Othman, Nyi Nyi, Naing, Atif Amin, Baig

    Published 2020
    “…We are developing this application based on the need for early detection to avoid further vision loss. …”
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