Výsledky vyhledávání - "Maslina Zolkepli"

Akademický článek

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting

Autor: Nazli Mohd Khairudin, Norwati Mustapha, Teh Noranis Mohd Aris, Maslina Zolkepli

Publikováno v: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 10, Iss 1, Pp 1-12 (2024)

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 most important features to be used in in flood forecast with high-dimensional non-linear ti

Externí odkaz: https://doaj.org/article/b4a85749ab964e9e817e950b8c2b42a9

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Akademický článek

Deep Learning-Based Recommendation System: Systematic Review and Classification

Autor: Caiwen Li, Iskandar Ishak, Hamidah Ibrahim, Maslina Zolkepli, Fatimah Sidi, Caili Li

Publikováno v: IEEE Access, Vol 11, Pp 113790-113835 (2023)

In recent years, recommendation systems have become essential for businesses to enhance customer satisfaction and generate revenue in various domains, such as e-commerce and entertainment. Deep learning techniques have significantly improved the accu

Externí odkaz: https://doaj.org/article/5e1e700071034be6852dea5d8d316c78

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Akademický článek

Multiobjective Deep Reinforcement Learning for Recommendation Systems

Autor: Ee Yeo Keat, Nurfadhlina Mohd Sharef, Razali Yaakob, Khairul Azhar Kasmiran, Erzam Marlisah, Norwati Mustapha, Maslina Zolkepli

Publikováno v: IEEE Access, Vol 10, Pp 65011-65027 (2022)

Most existing recommendation systems (RSs) are primarily concerned about the accuracy of rating prediction and only recommending popular items. However, other non-accuracy metrics such as novelty and diversity should not be overlooked. Existing multi

Externí odkaz: https://doaj.org/article/d70ab2e252824c17bc0fddecee685fe4

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Akademický článek

Technological, organizational and environmental factors influencing on user intention towards big data technology adoption in Malaysian educational organization

Autor: Noor Baizura Harun, Habibah Ab Jalil, Maslina Zolkepli

Publikováno v: Accounting, Vol 8, Iss 4, Pp 403-408 (2022)

Studying the factors in influencing the users’ intentions to adopt Big Data technology in Malaysia is crucial. This study adopted three grand theories which consisted of Dissemination of Innovation (DOI) theory, Technology Acceptance Model (TAM), a

Externí odkaz: https://doaj.org/article/b6ecf9ed3535486da840bb7ee97da604

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Akademický článek

Application of artificial intelligence algorithms for hourly river level forecast: A case study of Muda River, Malaysia

Autor: Muhamad Nur Adli Zakaria, Marlinda Abdul Malek, Maslina Zolkepli, Ali Najah Ahmed

Publikováno v: Alexandria Engineering Journal, Vol 60, Iss 4, Pp 4015-4028 (2021)

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, where flood is considered the most devastating natural disaster. In the current study, the a

Externí odkaz: https://doaj.org/article/13b992bcd2bb43daa70e476cfab4bc00

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