Search Results - (( based interface machine algorithm ) OR ( java application based algorithm ))
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Brain Machine Interface Controlled Robot Chair
Published 2010“…Brain Machine Interface Controlled Robot Chair: Brain Machine Interface is a device that links the human brain directly to devices such as computer, wheelchairs and prosthetic arms. …”
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Thesis -
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Brain machine interface based wheelchair control with minimal subject training
Published 2009Get full text
Working Paper -
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EEG-Based Brain-Machine Interface (BMI) for Controlling Mobile Robots: The Trend of Prior Studies
Published 2015“…In this paper, we review the background, feature extraction and classification algorithms used to design the Electroencephalography (EEG) based Brain-Machine Interface (BMI) to control the mobile robots.…”
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Improving classification of EEG signals for a four-state brain machine interface
Published 2013Get full text
Working Paper -
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Automatic email classification system / Phang Siew Ting
Published 2003“…Automatic Email Classification System is an email reader tool that implements machine learning algorithm in email classification, manipulated by a Graphical User Interface. …”
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Thesis -
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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
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Fuzzy based classification of EEG mental tasks for a brain machine interface
Published 2009Get full text
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Detection of eye movements based on EEG signals and the SAX algorithm
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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. …”
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Restaurant locator using Djikstra Algorithm / Mohamad Aliff Hakimi Lukman Hakim
Published 2017Subjects: Get full text
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NLP- based for providing mental health support in mobile application / Muhammad Amirul Roslan
Published 2025“…Future enhancements, such as advanced machine learning algorithms and user interface improvements, are proposed to further enhance functionality. …”
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Comparison of static and dynamic neural network classifiers for brain-machine interfaces / Hema C.R. ...[et al.]
Published 2010“…Neural network classifiers are one among the popular modes in the design of brain machine interface (BMI). In this study two novel dynamic neural network classifier designs for a four-state BMI are presented. …”
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Article -
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Direct approach for mining association rules from structured XML data
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