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  1. 1
    Hybrid Intelligent Warning System for Boiler tube Leak Trips

    Hybrid Intelligent Warning System for Boiler tube Leak Trips by Singh, D., Ismail, F.B., Shakir Nasif, M.

    Published 2017
    “…The first intelligent warning system (IWS-1) represents the use of pure artificial neural network system whereas the second intelligent warning system (IWS-2) represents merging of genetic algorithms and artificial neural networks as a hybrid intelligent system. …”
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  2. 2
    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah

    Development of collision avoidance warning system for heavy vehicles featuring adaptive minimum safe distance / Airul Sharizli Abdullah by Airul Sharizli, Abdullah

    Published 2017
    “…In addition, a graphical user interface (GUI) based calculator was developed based on the proposed regression model. …”
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    Thesis
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  3. 3
    Modelling of lane departure warning system as car driving assistance using Android based system

    Modelling of lane departure warning system as car driving assistance using Android based system by Abdullah, Mohamad Syafiq

    Published 2017
    “…Final development of the project was implemented the system to an application of lane departure based on android device. …”
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    Student Project
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  4. 4
    Hybrid Intelligent Warning System for Boiler tube Leak Trips

    Hybrid Intelligent Warning System for Boiler tube Leak Trips by Singh D., Ismail F.B., Shakir Nasif M.

    Published 2023
    Conference Paper
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  5. 5
    Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas

    Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas by Muhammad Aizzat, Zakaria, Jabbar, Waheb A., Noorazliza, Sulaiman

    Published 2023
    “…We developed a new algorithm to measure and monitor flood levels and rate changes effectively. …”
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  6. 6
    Earthquake location detector system (ELDS)

    Earthquake location detector system (ELDS) by Surwindraj Ang Soon Lee

    Published 2024
    text::Final Year Project
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  7. 7
    Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas

    Development of a smart sensing unit for LoRaWAN-based IoT flood monitoring and warning system in catchment areas by Muhammad Aizzat, Zakaria, Jabbar, Waheb A., Noorazliza, Sulaiman

    Published 2023
    “…We developed a new algorithm to measure and monitor flood levels and rate changes effectively. …”
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  8. 8
    A decision tree based on spatial relationships for predicting hotspots in peatlands

    A decision tree based on spatial relationships for predicting hotspots in peatlands by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

    Published 2014
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  9. 9
    Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)

    Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO) by Ahmed, Ehab Ali

    Published 2019
    “…This research proposed a swarm intelligence training algorithm, Improved African Buffalo Optimization algorithm (IABO) based on the Metaheuristic method called the African Buffalo Optimization algorithm (ABO). …”
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  10. 10
    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam

    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam by Kh Tohidul , Islam

    Published 2017
    “…In the first stage, a hybrid color segmentation algorithm has been developed and tested. This hybrid color segmentation algorithm contains a RGB histogram equalization, RGB color segmentation, modified grayscale segmentation, binary image segmentation, and a shape matching algorithm. …”
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  11. 11
    Classification model for hotspot occurrences using spatial decision tree algorithm

    Classification model for hotspot occurrences using spatial decision tree algorithm by Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin

    Published 2013
    “…We improved the ID3 decision tree algorithm such that it can be utilized on spatial data in order to develop a classification model for hotspots occurrence. …”
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  12. 12
    An early warning system for students at risk using supervised machine learning

    An early warning system for students at risk using supervised machine learning by Yam, Zheng Hong, Mohd Norshahriel, Abd Rani, Nabilah Filzah, Mohd Radzuan, Lim, Huay Yen, Sarasvathi, Nagalingam

    Published 2024
    “…For that, this study will perform a study of the current issues, factors, and solutions in education student’s data, determine the supervised machine learning algorithms, compare which model is the best predict the students’ performances, develop an early warning system for the educators to make an early decision in order to assist and consult the at-risk students, and finally conduct testing and evaluation of the system. …”
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  13. 13
    Design and development of a prototype charge controller for a PV-battery-generator hybrid power system / Sulaiman Shaari, Anuar Ahmad and Shahril Irwan Sulaiman

    Design and development of a prototype charge controller for a PV-battery-generator hybrid power system / Sulaiman Shaari, Anuar Ahmad and Shahril Irwan Sulaiman by Shaari, Sulaiman, Ahmad, Anuar, Sulaiman, Shahril Irwan

    Published 2006
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    Research Reports
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  14. 14
    Determination of free flood areas due to sea levels rising by using Binary Integer Programming (BIP)/ Nurin Dalilah Rozani & Nur Syifaa’ Tamrin

    Determination of free flood areas due to sea levels rising by using Binary Integer Programming (BIP)/ Nurin Dalilah Rozani & Nur Syifaa’ Tamrin by Rozani, Nurin Dalilah, Tamrin, Nur Syifaa’

    Published 2019
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  15. 15
    Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm

    Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm by Farzin, Saeed, Singh, Vijay, Karami, Hojat, Farahani, Nazanin, Ehteram, Mohammad, Kisi, Ozgur, Allawi, Mohammed Falah, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

    Published 2018
    “…The present study attempted to develop a three-parameter Muskingum model considering lateral flow for flood routing, coupling with a new optimization algorithm namely, Improved Bat Algorithm (IBA). …”
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  16. 16
    The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth

    The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth by Soh, Ann Ni, Puah, Chin Hong, Mohammad Affendy, Arip, Jong, Meng Chang

    Published 2024
    “…The model’s accuracy rate was at a promising 92% based on the variable importance assessment using random forest algorithms. …”
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  17. 17
    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column

    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column by Yann, H. H., Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

    Published 2003
    “…Identification of causes, consequences and suggested actions for each deviation assisted by Hazard and Operability Study (HAZOP) analysis are generated into rule-based algorithm. Forward chaining strategy is used to interpret the rule-based system. …”
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  18. 18
    Lane detection system for autonomous vehicle using image processing techniques

    Lane detection system for autonomous vehicle using image processing techniques by Mohd Kiblee, Shahizul Eza

    Published 2005
    “…A Radon peak detection algorithm was developed based on two values, Rand O. …”
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  19. 19
    Non invasive stress detection method based on discrete wavelet transform and machine learning algorithms

    Non invasive stress detection method based on discrete wavelet transform and machine learning algorithms by Altaf, Hunain, Ibrahim, Siti Noorjannah, Funke Olanrewaju, Rashidah

    Published 2021
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    Proceeding Paper
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  20. 20
    Deep learning-based single-shot and real-time vehicle detection and ego-lane estimation

    Deep learning-based single-shot and real-time vehicle detection and ego-lane estimation by Abdul Matin, M. A. A., Ahmad Fakhri, A. S., Mohd Zaki, Hasan Firdaus, Zainal Abidin, Zulkifli, Mohd Mustafah, Y., Abd Rahman, H., Mahamud, N. H., Hanizam, S., Ahmad Rudin, N. S.

    Published 2020
    “…Vision-based Forward Collision Warning System (FCWS) is a promising assist feature in a car to alleviate road accidents and make roads safer. …”
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