Search Results - (( wave application bees algorithm ) OR ( mobile applications bayes algorithm ))

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  1. 1

    Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim by Masmuhallim, Anis Athirah

    Published 2024
    “…The objectives of this project are to study the requirement of the Naive Bayes algorithm in Mobile Banking Trojan detection, to develop a webbased detection system for Mobile Banking Trojan using Naive Bayes, and to evaluate the performance and accuracy of the Naive Bayes algorithm in the Mobile Banking Trojan detection. …”
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    Thesis
  2. 2

    Sentiment Analysis on Users' Satisfaction for Mobile Banking Apps in Malaysia by Misinem, ., Tri Basuki, Kurniawan, Mohd Zaki, Zakaria, Muhammad Aqil Azfar, Uzailee

    Published 2022
    “…The best accuracy result shows 94.37% by the Decision Tree algorithm, and Naïve Bayes obtained the worst outcome at 66%.…”
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    Android malware detection using permission based static analysis by Mohd Ariffin, Noor Afiza, Casinto, Hanna Pungo

    Published 2024
    “…Android is a mobile operating system that is the most used on smart mobile phones. …”
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    Article
  7. 7

    Android malware detection using permission based static analysis by Mohd Ariffin, Noor Afiza, Casinto, Hanna Pungo

    Published 2023
    “…Android is a mobile operating system that is the most used on smart mobile phones. …”
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    Article
  8. 8

    Mobile application: coin identification using machine learning / Dania Qistina Mohd Nazly by Mohd Nazly, Dania Qistina

    Published 2021
    “…In methodology, the design and application architecture take place to determine the optimal model to deploy it in the mobile application. …”
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    Thesis
  9. 9

    Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation by Rahimizadeh, Hamid

    Published 2009
    “…The experimental results show the proposed algorithm is simple and robust, for real time application on vision based mobile robot for navigation, in spite of presence of other shapes and colors in the environment …”
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    Thesis
  10. 10

    Intersection Features For Android Botnet Classification by Ismail, Najiahtul Syafiqah, Yusof, Robiah, Saad, Halizah, Abdollah, Mohd Faizal, Yusof, Robiah

    Published 2019
    “…The evolution of the Internet of things (IoT) has made a significant impact and availed opportunities for mobile device usage on human life. Many of IoT devices will be supposedly controlled through a mobile, giving application (apps) developers great opportunities in the development of new applications. …”
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  11. 11

    Gps solution for active queue management using android platform by Liu, Yu Yao

    Published 2021
    “…Four tickets management applications, namely QueueBee, powerQ, WaveTec and QLess are reviewed to understand both strengths and weaknesses of existing application on current market. …”
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    Final Year Project / Dissertation / Thesis
  12. 12

    Applying Bayesian probability for Android malware detection using permission features by Sharfah Ratibah, Tuan Mat, Mohd Faizal, Ab Razak, Mohd Nizam, Mohmad Kahar, Juliza, Mohamad Arif, Azlee, Zabidi

    Published 2021
    “…By using static analysis, this study focuses on permission features that are significant in Android applications. The experiments conducted using chi-square as an algorithm and Naïve Bayes as a classifier. …”
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    Conference or Workshop Item
  13. 13

    Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli by Rosli, Mohamad Shafiq

    Published 2021
    “…Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and internet access, recent development in machine learning have designed many algorithms to solve diverse human problems. …”
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    Thesis
  14. 14

    Hotel recommendation system using machine learning by Wong, Wai On

    Published 2025
    “…The future work includes expanding the dataset, refining the recommendation algorithm, using natural language processing techniques with the addition of multilingual reviews, and deploying the system as a user-friendly application or mobile application.…”
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    Final Year Project / Dissertation / Thesis
  15. 15

    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
    “…The increasing number of mobile devices using the Android operating system in the market makes these devices the first target for malicious applications. …”
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