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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
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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Sentiment Analysis on Users' Satisfaction for Mobile Banking Apps in Malaysia
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 Mobile Malware Classification Based on System Call and Permission Using Tokenization
Published 2024thesis::master thesis -
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A Proposed False Report Identification Algorithm for a Mobile Application in the IoT Environment
Published 2024Proceedings Paper -
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Android malware detection using permission based static analysis
Published 2024“…Android is a mobile operating system that is the most used on smart mobile phones. …”
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Android malware detection using permission based static analysis
Published 2023“…Android is a mobile operating system that is the most used on smart mobile phones. …”
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Mobile application: coin identification using machine learning / Dania Qistina Mohd Nazly
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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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
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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Intersection Features For Android Botnet Classification
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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Applying Bayesian probability for Android malware detection using permission features
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 -
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Banana recognition system using convolutional neural network / Mohamad Shafiq Rosli
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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Hotel recommendation system using machine learning
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 -
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Empirical study on intelligent android malware detection based on supervised machine learning
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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Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar...
Published 2022“…The importance of this study is that it will assist individuals by employing machine learning to the system by accessing their THR zone during exercise via facial expressions. This application can be improved in the future to develop on a more accessible and portable platform, such as a mobile application, making it simpler to undertake physical training in a variety of ways, as more movement can be done.…”
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Book Section -
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Efficient DNS based Load Balancing for Bursty Web Application Traffic
Published 2012“…This research proposes a new efficient load balancing algorithm which applies to the local Domain Name Service (DNS) server for web based applications and services to ease the sudden increase in demand for the services. …”
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Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
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