Search Results - (( java implementation phase algorithm ) OR ( parameter educational selection algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms
Published 2014“…Five independent parameters(gender, race, hometown, family income, university entry mode) have been selected to conduct this study. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Rao-SVM machine learning algorithm for intrusion detection system
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Energy Balancing Through Cluster Head Selection Using K-Theorem in Homogeneous Wireless Sensor Networks
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Cardiac abnormality prediction using tansig based multilayer perceptron
Published 2021“…ANN has been widely being used in medicine, ANN is widely applied in education, research, and even decision making. In this study, ANN will be trained for pre-testing to predict the cardiac abnormalities symptom based on selected reference parameters. …”
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Predicting noise-induced hearing loss (NIHL) in TNB workers using GDAM algorithm
Published 2012“…This research proposed an algorithm for improving the current working performance of Back-propagation algorithm by adaptively changing the momentum value and at the same time keeping the ‘gain’ parameter fixed for all nodes in the neural network. …”
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Improving the synthetic coefficient of variation chart by incorporating side sensitivity
Published 2024“…Therefore, monitoring the coefficient of variation is selected as an alternative and it has been implemented in numerous industries, for example, in human and public sciences, environmental research, agricultural sciences, engineering, technology, finance and education. …”
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