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PREDICTION OF THE THERMODYNAMIC HYDRATE FORMATION CONDITIONS FOR METHANE GAS
Published 2022“…The thermodynamic conditions for hydrate formation were used to assess the plugging risk. Hydrate formation thermodynamic properties and chemical reaction were statistical analyses on developed model results. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory
Published 2024“…This RiCCA prototype is developed from Danger Theory algorithms that is Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). …”
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An immunological-based simulation: A case study of risk concentration for mobile spam context assessment
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System setup on jetson nano for smart crowd covid monitoring system
Published 2022“…Labels can be downloaded in one of the many formats that are supported.…”
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Undergraduates Project Papers -
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Improving performance of automated coronary arterial tree center-line extraction, stent localization and tracking
Published 2012“…Over the last decade, many algorithms have been developed to address this problem. …”
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The influence of Robo-advisory services on Malaysia university student’s investment intention
Published 2025“…Keywords: Robo-Advisory Services; Perceived Risk; Trust; Ease of Use; Technology Acceptance Model Subject Area: HG4501-6051 Investment, capital formation, speculation…”
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Final Year Project / Dissertation / Thesis -
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An artificial intelligence approach to monitor student performance and devise preventive measures
Published 2023“…This research evaluates the effectiveness of machine learning algorithms to monitor students� academic progress and informs the instructor about the students at the risk of ending up with unsatisfactory result in a course. …”
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Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods
Published 2017“…Additionally, the present study has developed a prediction model of wind speed for these three sites in Malaysia. …”
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Design, development and evaluation of a game-based learning application for room housekeeping
Published 2024“…The simulation not only allowed students to practice essential housekeeping skills but also promoted critical thinking and problem-solving within a risk-free environment. The paper concludes with a discussion on potential enhancements such as incorporating adaptive learning algorithms and multiplayer features to support collaborative learning. …”
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Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review
Published 2020“…Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. …”
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Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: a comprehensive review
Published 2020“…Fluid loss to subsurface formations is a challenging aspect during drilling operations in petroleum industry. …”
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A Systematic Approach to Transform Machine Learning Students� Performance Prediction Model into Preventive Procedures
Published 2023“…The dataset is pre-processed with Pearson correlation feature selection algorithm to discover the features which influence the students� academic performance. …”
Conference Paper -
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Multi-agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…The ontology developed is not limited to just a knowledge base to store data in structured format but it plays an important role as an inference sources in the decision making of the buying and selling of stock by performing fundamental analysis. …”
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Multi agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…The ontology developed is not limited to just a knowledge base to store data in structured format but it plays an important role as an inference sources in the decision making of the buying and selling of stock by performing fundamental analysis. …”
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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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Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets
Published 2006“…The Mean Square Error (MSE) and Peak-Signal-to-Noise Ratio (PSNR) are calculated. The newly developed algorithm was applied to compress Light Detection and Ranging (LIDAR) data to check the efficiency of the program. …”
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