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Volunteer Management System
Published 2012“…The project will adopt the Iterative and incremental development methodology, which promotes constant reevaluation, and will be built on the java programming language and developed on the Netbeans IDE, for the GUI and algorithm implementation. …”
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Final Year Project -
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Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency
Published 2024“…The algorithm was developed by calibrating the AQUACROP model using data from actual durian plantations where rain-fed irrigation (rain-fed) was practised. …”
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Design of smart waste bin and prediction algorithm for waste management in household area
Published 2018“…The result portrayed that the average rate of increment of waste weight is 2.05 percent from week one until week twenty. The limitation to this study is that the amount of smart waste bin should be replicated more so that all data for waste weight is directly collected from the smart waste bin.…”
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Predicting factors of library traffic for UiTMCTKKT Cendekiawan Library using predictive analytics / Azzatul Husna Abdul Aziz
Published 2025“…Key findings highlight the role of attributes, such as study year, week 13, week 10, week 14, age, week 12, open access, and Theory Of Reasoned Action, like student attitudes, intention, and subjective norms in influencing library usage and satisfaction. …”
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3D character reconstruction from 2D orthogonal images
Published 2025“…The proposed algorithm is organized into modular stages, allowing artists and developers to further improving the pipeline by integrating computer vision, AI models and 3D modelling and scripting techniques. …”
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Final Year Project / Dissertation / Thesis -
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UiTM Transportation Unit bus trip scheduling system / Noorzawanah Ab Rahim
Published 2009“…The proposed heuristic algorithm is based on the simple greedy search, that guide the search efficiently and able to find good solutions. …”
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Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong
Published 2014“…The superiority of this method is its ability to generate a set of MVS efficient portfolios within a single run of algorithm. …”
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Implementation of machine learning algorithms for streamflow prediction of Dokan dam
Published 2023“…This study aims at comparing the application of deep learning algorithms and conventional machine learning algorithms for predicting reservoir inflow. …”
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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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Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…Recent studies have shown that visual programming is one of the efficient tools to develop CT skills. The measurement of CT skills is indicated by CT skills competency. …”
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Two-stage Heuristic for Primary School Timetabling Problem with Combined Classes Consideration
Published 2020“…A clashfree timetable can be obtained from this proposed algorithm. The result generated by this proposed solution outperforms the current manual practice in solution quality and computing efficiency.…”
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Sustainable smart irrigation system (SIS) using solar PV with rainwater harvesting technique for indoor plants
Published 2025“…The IoT system consists of soil moisture sensor with GSM module powered by PV and an algorithm was developed to adjust irrigation schedules based on soil moisture data. …”
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Sustainable Smart Irrigation System (SIS) using solar PV with rainwater harvesting technique for indoor plants
Published 2025“…The IoT system consists of soil moisture sensor with GSM module powered by PV and an algorithm was developed to adjust irrigation schedules based on soil moisture data. …”
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A New Optimization Technique Of Support Vector Machine For Electricity Market Price Forecasting
Published 2019“…Hence, some researchers have developed complex procedures and techniques to produce more accurate forecast while considering significant feature selection as well as parameter optimization. …”
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