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Sales prediction for Adha Station by using predictive analytics by Mohd Mokhid, Muhammad Amier Latieff

“…Sales data were manually gathered and documented from January 2023 to December 2024 using receipts, and Microsoft Excel was employed to transfer the raw data from the receipts and do preliminary processing. Additionally, pre-processing is conducted using the RapidMiner application prior to mapping the cleaned data with three distinct algorithms for predictive analysis: Decision Tree, Random Forest, and Multiple Linear Regression techniques. …”
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Automatic landmarking on 2.5D face range images by Pui, Suk Ting

“…In summary, we have successfully implemented an automatic landmarking method and an interactive tool has been developed to ease the visualisation of the overall processes.…”
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Optimizing E-commerce inventory management using a machine-learning approach by Ruonan, Zhao, Wong, Doris Hooi-Ten

“…In addition, clustering algorithms, including DBSCAN and K-means, were applied to segment customers based on purchasing behaviour, with DBSCAN achieving a Silhouette Score of 0.9708, suggesting well-separated clusters. …”
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Forecasting utility management in UiTMCTKKT using predictive analytics / Nur Sufiah Muhammad Taufik by Muhammad Taufik, Nur Sufiah

“…Future iterations could also improve the system using real-time monitoring and machine-learning based predictive algorithms.…”
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Modified dynamic programming model with limited order picking capacity / Noraimi Azlin Mohd Nordin by Noraimi Azlin , Mohd Nordin

“…Order picking process in a warehouse is considered as a critical stage in managing customers’ service. …”
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