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Financial time series predicting using machine learning algorithms
Published 2013“…Thus, this research motivates and aims to investigate the repeat behaviour and pattern of trends from the historical financial time series data, and utilise the strength of machine learning techniques to develop a promising financial time series predictor engine. …”
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Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin
Published 2006“…Data mining can discover patterns or rules from a vast volume of data. This patterns or rules may help to develop better decision-making process. …”
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Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…Addition of hybrid automata algorithm to run pattern and non-pattern recognition based control methods is an advantage to increase accuracy in differentiating forward stroke or hand return activity. …”
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Financial advisory and management system
Published 2025“…This study develops an Android application using Kotlin and Firebase (Firestore) to enhance expense categorization, financial literacy, and goal tracking. …”
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Final Year Project / Dissertation / Thesis -
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The Random forest algorithm for modelling the overspending behaviour of Malaysian households income class
Published 2025“…Overspending is a typical financial behaviour that can affect individuals across all income levels, but it tends to impact those with lower incomes significantly. …”
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Bibliometric analysis of AI-driven FinTech revolution: mapping global trends, thematic evolution, and future directions
Published 2026“…The introduction of Artificial Intelligence (AI) to Financial Technology (FinTech) has revolutionised financial services by reshaping digital banking, risk assessment, and financial decision-making. …”
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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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Trajectory planning and simulation for 3d printing process
Published 2022“…The output of slicing algorithm will be used as input of infill generator to generate infill vertices based on the infill density and infill pattern that decided by users. …”
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Final Year Project / Dissertation / Thesis -
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Suspicious activities detection for anti-money laundering using machine learning techniques
Published 2025“…To solve money laundering, more effective techniques for detecting suspicious transactions must be developed. Machine learning is able to learn complex relationships within large datasets then identify anomalies that deviate from well-defined patterns. …”
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Final Year Project / Dissertation / Thesis -
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Stock indicator scanner customization tool
Published 2022“…Nowadays, stock trend prediction has become a famous topic among financial analysts and computer scientists. As developing a model that could accurately predict the directional changes of stock prices will bring huge benefits to investors. …”
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Final Year Project / Dissertation / Thesis -
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Improving Time Series Models Prediction Based On Empirical Mode Decomposition Using Stock Market Data
Published 2021“…Five EMD-based methods were developed on these objectives…”
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Prospects for basal stem rot disease based on soil apparent electrical conductivity in oil palm plantation
Published 2020“…Furthermore, the software was developed by using MATLAB to produce a predicted BSR map in oil palm plantation based on the developed algorithm. …”
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Investigating the cognitive processes in solving management science problems
Published 2010“…The findings have implications for the development of effective MS/OR related subjects.…”
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Journal -
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The transmission dynamic of the COVID 19 outbreak : a predictive dashboard
Published 2021“…The model is solved using a numerical algorithm of the Runge-Kutta method. The predictive dashboard of a graphical user interface (GUI) is developed, hence monitoring and predicting the outbreak under the control measures of the two different types of MCO scenarios (which are called constant and alternate scenarios) can be performed. …”
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The transmission dynamic of the COVID 19 outbreak: A predictive dashboard
Published 2021“…The model is solved using a numerical algorithm of the Runge-Kutta method. The predictive dashboard of a graphical user interface (GUI) is developed, hence monitoring and predicting the outbreak under the control measures of the two different types of MCO scenarios (which are called constant and alternate scenarios) can be performed. …”
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