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1
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Thesis -
2
Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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3
SOLID-STATE MP3 PLAYER
Published 2005“…A simple block diagram of a complete player basically consists of • A solid-state memory to store data…”
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Final Year Project -
4
TEMPERATURE CONTROLLER FOR AUTOMOTIVE ENGINE RESEARCH
Published 2009“…The main objective of this project is to investigate different temperature control algorithm and to implement on hardware by fabricating a controller using a temperature control IC. …”
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Final Year Project -
5
A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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6
INDOOR LOCATION SENSING USING RADIO FREQUENCY NETWORK
Published 2007“…The benefit of this project is that it provides a foundation in the basic of locating objects in a closed area. The flowchart for the main program and hence, the programming of the calculations algorithm has been done and tested using user simulated digital control input. …”
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Final Year Project -
7
Water Quality Index Using Modified Random Forest Technique: Assessing Novel Input Features
Published 2024journal::journal article -
8
Predictive modeling and feature attribution of CO₂ adsorption on LDH-derived materials using machine learning approach
Published 2025“…The findings revealed that CatBoost is most suitable with R2 of 0.99 for training and 0.87 for test, and RMSE of 0.184 compared to the other 5 algorithms. AdaBoost, XGBoost, GBDT, LightGBM, and RF performed in an acceptable range. …”
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