Search Results - (( programming users detection algorithm ) OR ( java application learning algorithm ))
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Development of a cost efficient vision system for defects detection / Muhammad Zarif Kamarudin
Published 2010“…In this project, MATLAB platform is used to program the entire algorithm furthermore implementing Graphical User Interface to communicate between the vision system and the user. …”
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Monograph -
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Development of cost efficient vision system for defects detection / Muhammad Zarif Kamarudin
Published 2010“…In this project, MATLAB platform is used to program the entire algorithm furthermore implementing Graphical User Interface to communicate between the vision system and the user. …”
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Thesis -
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Development of cost efficient vision system for defects detection / Muhammad Zarif Kamarudin
Published 2010“…In this project, MATLAB platform is used to program the entire algorithm furthermore implementing Graphical User Interface to communicate between the vision system and the user. …”
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Conference or Workshop Item -
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Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak
Published 2021“…A comparison between built-in Scikit Learn Naive Bayes algorithm, and the scratch Naive Bayes algorithm is used to measure its effectiveness in terms of accuracy. …”
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Thesis -
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A new mobile botnet classification based on permission and API calls
Published 2024Subjects:Conference Paper -
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Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli
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Student Project -
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Early autism spectrum disorder detection using machine learning / Muhammad Shahmi Shahron Nizan
Published 2023“…The project follows a modified waterfall approach, focusing on creating a user-friendly interface and integrating the Random Forest Classification Algorithm for accurate detection. …”
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Thesis -
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Experimental implementation of dynamic spectrum access for video transmission using USRP
Published 2012“…The cognitive radio users are also programmed to operate independently without interfering with each other using energy detection algorithm for spectrum sensing. …”
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Proceeding Paper -
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Future development can be carried out by creating a database based on the user’s standard of measure and accessing it whenever the user starts the program.…”
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Final Year Project / Dissertation / Thesis -
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An approach for cross-site scripting detection and removal based on genetic algorithms.
Published 2014“…In this paper, we propose to explore an approach based on genetic algorithms that will be able to detect and remove cross-site scripting vulnerabilities from the source code before an application is deployed. …”
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Conference or Workshop Item -
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Electroencephalogram signal interpretation system for mobile robot
Published 2013“…Using sample datasets, the EEG signal is analyzed to determine the most suitable scalp area for P300 detection, while optimization with genetic algorithm (GA) is developed to select best four channels. …”
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Thesis -
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Effects of Authentication of Users in Mobile Internet Protocol Version 6
Published 2004“…The password system is also recommended as a viable solution for this authentication as its implementation is most convenient for mobile users. A password algorithm is proposed from which a program can be written in any language deemed suitable.…”
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Cross-site scripting detection based on an enhanced genetic algorithm
Published 2015“…In this paper, we propose to explore an approach based on genetic algorithms that will be able to detect cross-site scripting vulnerabilities in the source code before an application is deployed. …”
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Conference or Workshop Item -
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…As a result, 16 permissions and 31 API calls that are most related with mobile botnet have been extracted using feature selection and later classified and tested using machine learning algorithms. The experimental result shows that the Random Forest Algorithm has achieved the highest detection accuracy of 99.4% with the lowest false positive rate of 16.1% as compared to other machine learning algorithms. …”
Proceedings Paper
