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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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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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Thesis -
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The main objectives for this project are focusing on the development of user interface that can connect with the machine learning build in Microsoft Azure for pump diagnostic purpose. …”
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Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan
Published 2020“…In this research, MATLAB Graphical User Interface (GUI) is used to develop a user- friendly program that can predict surface roughness of Aluminium 6061 in CNC milling machine. …”
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Student Project -
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Pairwise testing tools based on hill climbing algorithm (PTCA)
Published 2014“…The actual implementation of the algorithm which is in Java programming language, the program is implemented on Net Bean 7.0.1. …”
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Undergraduates Project Papers -
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Examination timetabling using genetic algorithm case study: KUiTTHO
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Thesis -
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Java based expert system for selection of natural fibre composite materials
Published 2013“…In this paper, we develop a technology for the materials selection system using Java based expert system. The weighted-range method (WRM) was implemented to identify the range value and to scrutinise the candidate materials. …”
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A Machine Learning Classification Application to Identify Inefficient Novice Programmers
Published 2023Conference Paper -
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…According to the simulation results, the proposed algorithm produces the best solution among all algorithms in the proposed cases. � 2021 Little Lion Scientific…”
Review -
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Development of machine learning-based algorithm to determine the condition in transformer oil
Published 2021“…Machine Learning (ML) algorithm have been utilized to detect the fault more accurate. …”
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Thesis -
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Development of interactive application for classification of Artocarpus Species
Published 2020“…This study capable to provide the results for current accuracy data representation of the selected Artocarpus species. The development of Graphical User Interface (GUI) for classification of Artocarpus species help user to identify and differentiate the species in faster and easier way especially botanist, taxonomist, and researcher. …”
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Undergraduate Final Project Report -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Restaurant locator using Djikstra Algorithm / Mohamad Aliff Hakimi Lukman Hakim
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Thesis -
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Particle swarm optimization (PSO) for CNC route problem
Published 2002“…The purpose of this study is to develop the application of Particle Swarm Optimization (PSO) which applicable to CNC machine route problem. …”
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Undergraduates Project Papers -
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System Interface Design For CAD/CAM-Simulink Data Exchange System Using MATLAB
Published 2018“…The proposed CS-DES system enhances data automation through formation of the graphical user input reference interface of the machine tools control system using NC manufacturing codes data as the reference input signal. …”
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Article -
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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
