Search Results - "Zolkepli, Maslina"

Application of artificial intelligence algorithms for hourly river level forecast: A case study of Muda River, Malaysia by Nur Adli Zakaria, Muhamad, Abdul Malek, Marlinda, Zolkepli, Maslina, Najah Ahmed, Ali

“…A reliable river water level model to forecast the changes in different lead times is vital for flood warning systems, especially in countries like Malaysia,…”
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Deep Learning-Based Recommendation System: Systematic Review and Classification by Li, Caiwen, Ishak, Iskandar, Ibrahim, Hamidah, Zolkepli, Maslina, Sidi, Fatimah, Li, Caili

“…In recent years, recommendation systems have become essential for businesses to enhance customer satisfaction and generate revenue in various domains, such as…”
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Sustainable management of water demand using fuzzy inference system: a case study of Kenyir Lake, Malaysia by Mohd Azlan, Nor Najwa Irina, Abdul Malek, Marlinda, Zolkepli, Maslina, Mohd Salim, Jamilah, Ahmed, Ali Najah

“…Sustainable water demand management has become a necessity to the world since the immensely growing population and development have caused water deficit and…”
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Technological, organizational and environmental factors influencing on user intention towards big data technology adoption in Malaysian educational organization by Harun, Noor Baizura, Jalil, Habibah Ab, Zolkepli, Maslina

“…Studying the factors in influencing the users’ intentions to adopt Big Data technology in Malaysia is crucial. This study adopted three grand theories which…”
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Routing Techniques in Network-On-Chip Based Multiprocessor-System-on-Chip for IOT: A Systematic Review by Muhsen, Yousif, Azura Husin, Nor, Binti Zolkepli, Maslina, Manshor, Noridayu, Abbas Jasim Al-Hchaimi, Ahmed, S. Albahri, A.

“…Routing techniques (RTs) play a critical role in modern computing systems that use network-on-chip (NoC) communication infrastructure within multiprocessor…”
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Multiobjective Deep Reinforcement Learning for Recommendation Systems by Keat, Ee Yeo, Sharef, Nurfadhlina Mohd, Yaakob, Razali, Kasmiran, Khairul Azhar, Marlisah, Erzam, Mustapha, Norwati, Zolkepli, Maslina

“…Most existing recommendation systems (RSs) are primarily concerned about the accuracy of rating prediction and only recommending popular items. However, other…”
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Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting by Mohd Khairudin, Nazli, Mustapha, Norwati, Mohd Aris, Teh Noranis, Zolkepli, Maslina

“…The advancement of machine learning model has widely been adopted to provide flood forecast. However, the model must deal with the challenges to determine the…”
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Evaluation of the Routing Algorithms for NoC-Based MPSoC: A Fuzzy Multi-Criteria Decision-Making Approach by Muhsen, Yousif Raad, Husin, Nor Azura, Zolkepli, Maslina Binti, Manshor, Noridayu, Al-Hchaimi, Ahmed Abbas Jasim

“…Context: Routing algorithms play a crucial role in the performance of Network-on-Chip (NoC)-based Multi-Processor Systems-on-Chip (MPSoC). However, the…”
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Visualizing Fuzzy Relationship in Bibliographic Big Data Using Hybrid Approach Combining Fuzzy c -Means and Newman-Girvan Algorithm by Zolkepli, Maslina, Dong, Fangyan, Hirota, Kaoru

“…Bibliographic big data visualization method is proposed by incorporating a combination of fuzzy c -means clustering and the Newman-Girvan clustering algorithm,…”
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Enhancing NoC-based MPSoC Performance: A Predictive Approach with ANN and Guaranteed Convergence Arithmetic Optimization Algorithm by Muhsen, Yousif Raad, Husin, Nor Azura, Zolkepli, Maslina Binti, Manshor, Noridayu, Al-Hchaimi, Ahmed Abbas Jasim, Ridha, Hussein Mohammed

“…Context: Network-on-Chips (NoCs) serve as essential interconnection infrastructures in Multi-processor System-on-Chip (MPSoC) designs, emphasizing flexibility,…”
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Comparison of Machine Learning Models For Rainfall Forecasting by Khairudin, Nazli Bin Mohd, Mustapha, Norwati Binti, Aris, Teh Noranis Binti Mohd, Zolkepli, Maslina Binti

“…Extreme rainfall can lead to a flood occurrence that give a devastating impact on human lives including the agriculture sectors. Accurate rainfall forecasting…”
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Application of fuzzy inference engine as an automatic switch between ensembles of clustering methods by Zolkepli, Maslina, Fangyan Dong, Hirota, Kaoru

“…An automatic switch between ensembles of clustering algorithms is proposed as a part of the Bibliographic Big Data Retrieval System by utilizing a fuzzy…”
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