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Performance evaluation of real-time multiprocessor scheduling algorithms
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…An Intelligent Learning System for the turning process was developed. Visual C++ object-oriented programming language was used to build the Intelligent Learning System for Turning. …”
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Thesis -
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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A Novel Discrete Filled Function Algorithm in Solving Discrete Optimization Problems (S/O: 12408)
Published 2016“…At the initial stage, an auxiliary function is introduced in discrete filled function method which turns the local minimizer of the original function to be a local maximizer. …”
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Improving utility accrual scheduling algorithm for adaptive real-time system
Published 2008“…The proposed algorithm improves the GUS algorithm by preempting the tasks that GUS abort due to its lower PUD, lowering abortion ratio which in turn increase accrued utility. …”
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Development of vision autonomous guided vehicle behaviour using neural network
Published 2012“…The objectives of this project are to develop a line recognition algorithm for automated guided vehicle and to understand two types of neural networks that can be use in manufacturing. …”
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Undergraduates Project Papers -
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. This application can be installing into the mobile phone.…”
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Slice sampler algorithm for generalized pareto distribution
Published 2018“…In this paper, we developed the slice sampler algorithm for the generalized Pareto distribution (GPD) model. …”
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Article -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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An Educational Tool Aimed at Learning Metaheuristics
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Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process
Published 2008“…A neural-fuzzy model has been developed to represent machinability data selection in turning process. …”
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Mining association rules from structured XML data
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Scalable approach for mining association rules from structured XML data
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