Search Results - (( variable extractions factor algorithm ) OR ( media applications optimization algorithm ))
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Development Of Fall Risk Clustering Algorithm In Older People
Published 2020“…A total of 1279 subjects and 9 variables from dataset (1411 subjects and 139 variables) are selected for clustering. t-Distributed Stochastic Neighbour Embedding (t-SNE) for feature extraction and K-means clustering algorithm achieved the highest performance in clustering, which grouping the subjects into Low (13%), Intermediate A (19%), Intermediate B (21%) and High (31%) fall risk group. …”
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Final Year Project / Dissertation / Thesis -
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CSC752: Advanced Algorithm & Analysis / College of Computing, Informatics and Media
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Teaching Resource -
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An application of IPA approach on the optimization of a mining port stockyard system
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Review of the grey wolf optimization algorithm: variants and applications
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Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023Article -
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Task scheduling in cloud computing using Harris-Hawk Optimization
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Proceedings -
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Deriving Optimal Operation Rule for Reservoir System Using Enhanced Optimization Algorithms
Published 2025Article -
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Development of an effective clustering algorithm for older fallers
Published 2022“…Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. …”
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Evolutionary mating algorithm
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Design of intelligent Qira’at identification algorithm
Published 2017“…Sequential Windowing Parameterizing of Affine Projection Algorithm (SPAP) is proposed to improve windowing parameterizing during echo cancellation, while recognition accuracy factors are taken into account for further improvement. …”
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Thesis -
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Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman
Published 2023“…The study focuses on the application of the Linear Regression algorithm to predict sales outcomes based on advertising spending patterns. …”
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Thesis -
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