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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination
Published 2025“…In this context. ML algorithms provide powerful data driven means to model complex relationship within experimental datasets to improve process optimisation This study systematically evaluated several supervised ML models, including Random Forest (RF) Support Vector Machines (SVM), Ridge Regression, Lasso Regression, Decision Tree, Extra Tree Regression, Gradient Boost, and XGBoost, to predict removal efficiency in GHBD system. …”
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Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Published 2022“…Additionally, these data which appear in ASCII format to the Metocean system are also manual and silos. …”
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Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Published 2022“…Additionally, these data which appear in ASCII format to the Metocean system are also manual and silos. …”
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The influence of Robo-advisory services on Malaysia university student’s investment intention
Published 2025“…The emergence of robo-advisory services has transformed the landscape of investment by offering automated, algorithm-driven financial planning with minimal human intervention. …”
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Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies
Published 2020“…Partial least square-SEM is an appropriate analysis that was used to assess the results in the current research because its algorithm permits the unrestricted computation of cause-effect relationship models that use both reflective and formative measurement models. …”
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