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Optimized clustering with modified K-means algorithm
Published 2021“…Among the techniques, the k-means algorithm is the most commonly used technique for determining optimal number of clusters (k). …”
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Pemahaman guru matematik Tahun Enam tentang pembahagian nombor bulat / Hoi Sim Min
Published 2018“…The study also found that teachers have four interpretations of the meaning of division, four interpretations of the meaning of divisor, six interpretations of the meaning of quotient, and five interpretations of the meaning of dividend respectively. …”
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3
Development of an effective clustering algorithm for older fallers
Published 2022“…The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. …”
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Modified archive update mechanism of multi-objective particle swarm optimization in fuzzy classification and clustering
Published 2022“…For Shape cluster datasets, the proposed MCPSO-CD method with value of above 7.0 performed better in most datasets in terms of mean ARI. It was superior to the clustering algorithm methods in most real-world datasets with means ARI of over 0.35. …”
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5
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…On the Construction phase, the development of the prototype has been started. All the algorithm for the engine has been developed by using Java script language. …”
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New Evolving Fuzzy System Algorithms Using Dynamic Constraint
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
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Development Of Fall Risk Clustering Algorithm In Older People
Published 2020“…Therefore, the aim of this study is to develop a clustering-based fall risk algorithm which can provide assistances for clinician in management of falls. …”
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Final Year Project / Dissertation / Thesis -
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…Fuzzy time series (FTS) algorithm is able to overcome moving holiday electricity load demand (MH-ELD) forecasting problem, but the FTS algorithm lacks final model interpretation, less interpretability of fuzzy logical relationship strength, and does not provide a complete FTS forecasting process. …”
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…Even though fuzzy time series (FTS) algorithm is able to overcome moving holiday electricity load demand (MH-ELD) forecasting problem, the current FTS algorithm lacks final model interpretation, is less interpretability of fuzzy logical relationship strength, and does not provide a complete FTS forecasting process. …”
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Monograph -
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DATA ANALYTICS FOR HOSPITAL OPERATIONS
Published 2015“…Throughout the years, research has been concluded to develop methods of interpreting and analyzing this data. …”
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Final Year Project -
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Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman
Published 2015“…Metal artifacts can severely affect the quality of CT images, and mislead the diagnosis interpretation. The artifacts are due to the beam hardening, photon starvation effect, and inappropriate correction algorithm during image reconstruction. …”
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Book Section -
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Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs
Published 2021“…Secondly, it aims to develop an automatic gender recognition model by employing optimization algorithms to identify the most effective channels for gender identification from emotional-based EEG signals. …”
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15
Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…The developed algorithms are two-band algorithm, terma linear and modified algorithm from the combination of the visible and infrared thermal bands. …”
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Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel
Published 2016“…To realize this, automatic cropping algorithm is developed to detect the region of interest and interpret the Ga value. …”
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17
Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…Finally, the system utilizes a query formulation algorithm (QRYF) to select the structured queries that best interpret user query. …”
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18
Indonesian Stock Price Prediction Using Neural Basis Expansion Analysis for Interpretable Time Series Method
Published 2024“…New state-of-the-art deep learning architectures for time series forecasting are being developed yearly, making them more accurate than ever. …”
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Diamond price prediction using random forest algorithm / Nur Amirah Mohd Azmi
Published 2025“…Some of the broad steps of methodology involve data preprocessing, by means of which handling of missing values, outliers, and inconsistencies for quality were developed. …”
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Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis
