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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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  2. 2
    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection

    Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection by Ng, Shi Ya

    Published 2022
    “…The significance of the extracted output is evaluated with the topic modelling algorithm (LDA model algorithm) for the purpose of predictive supply risk. …”
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    Final Year Project Report / IMRAD
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  3. 3
    Collaboration algorithms between intermediaries for supporting flexible supply chain management

    Collaboration algorithms between intermediaries for supporting flexible supply chain management by Mohd Tamrin, Mohd Izzuddin, Tengku Sembok, Tengku Mohd, Kartiwi, Mira

    Published 2013
    “…The collaboration algorithms are design to go through five main phases in order to continuously monitor and detect any deviations from the processes currently running at the vacinity of the members. …”
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  4. 4
    Development Of an Intelligent Controller For Power Quality Enhancement Of Microgrid

    Development Of an Intelligent Controller For Power Quality Enhancement Of Microgrid by Logintheeran A/L Balakrishnan

    Published 2023
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  5. 5
    Study of machine learning in computer vision using Raspberry Pi

    Study of machine learning in computer vision using Raspberry Pi by Chong, Kah Luo

    Published 2024
    text::Final Year Project
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  6. 6
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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    Thesis
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  7. 7
    Fraud detection in shipping industry based on location using machine learning comparison techniques

    Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

    Published 2023
    “…There were also identification of factors that influence fraud activity, review existing fraud detection models, develop the detection model and implement it using a well-known tool in the market namely Rapidminer. …”
    text::Thesis
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  8. 8
    Development of machine learning-based algorithm to determine the condition in transformer oil

    Development of machine learning-based algorithm to determine the condition in transformer oil by Mohsen Al-Katheri, Hussein Hasan

    Published 2021
    “…Machine Learning (ML) algorithm have been utilized to detect the fault more accurate. …”
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  9. 9
    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm

    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm by Alixson Polumpung, Kit Guan Lim, Min Keng Tan, Sitti Raehanah Muhamad Shaleh, Renee Ka Yin Chin, Kenneth Teo Tze Kin

    Published 2022
    “…In this paper, we present the method and performance to detect rotifer Brachionus plicatilis in 1ml sample automatically using deep learning algorithm YOLOv3. …”
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    Proceedings
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  10. 10
    An Evolutionary Stream Clustering Technique for Outlier Detection

    An Evolutionary Stream Clustering Technique for Outlier Detection by Supardi, N.A., Abdulkadir, S.J., Aziz, N.

    Published 2020
    “…Later, this algorithm will be extended to optimize the model in detecting outlier on data streams. …”
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    Conference or Workshop Item
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  11. 11
    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation

    Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation by Ahmadipour, Masoud

    Published 2019
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  12. 12
    Cornsense: leaf disease detection application / Iffah Fatinah Mohamad Nasir

    Cornsense: leaf disease detection application / Iffah Fatinah Mohamad Nasir by Mohamad Nasir, Iffah Fatinah

    Published 2025
    “…The purpose of this project is to develop a mobile application for corn leaf disease detection leveraging the YOLOv8 (You Only Look Once version 8) object detection algorithm. …”
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  13. 13
    An effective islanding detection method for photovoltaic grid connected inverter / Ku Nurul Edhura Ku Ahamad

    An effective islanding detection method for photovoltaic grid connected inverter / Ku Nurul Edhura Ku Ahamad by Ku Nurul Edhura , Ku Ahamad

    Published 2013
    “…An analog circuit for over/under voltage protection is developed to ensure fast detection and no delay to system. …”
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  14. 14
    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower

    Development of optimized damage prediction method for health monitoring of ultra high performance fiber-reinforced concrete communication tower by Gatea, Sarah Jabbar

    Published 2018
    “…Therefore, this study aims to develop a new health monitoring system for communication towers based on AdaBoost, Bagging, and RUSBoost algorithms as hybrid algorithm, which can predict the damage by using noisy, random, unstable, and skewed frequency data with high accuracy. …”
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  15. 15
    Cross phase polarization algorithm for fault direction determination using zero crossing method to determine phase difference

    Cross phase polarization algorithm for fault direction determination using zero crossing method to determine phase difference by Abidin A.A.B.Z., Ramasamy A., Abidin I.Z., Nagi F.H.

    Published 2023
    Conference paper
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  16. 16
    Customized fault management system for low distribution automation system

    Customized fault management system for low distribution automation system by Ahmed, Musse Mohamud, Soo, W. L.

    Published 2008
    “…The fault management system is referred as the fault detection, fault location, fault isolation, supply restoration and manual control. …”
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    Proceeding Paper
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  17. 17
    Malaria parasite detection and classification using CNN and YOLOv5 architectures

    Malaria parasite detection and classification using CNN and YOLOv5 architectures by Wan Mohd Razin, Wan Rasyidah, Gunawan, Teddy Surya, Kartiwi, Mira, Md. Yusoff, Nelidya

    Published 2022
    “…Therefore, the purpose of this paper is to design and develop a model for the detection of malaria parasites. …”
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    Proceeding Paper
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  18. 18
    The reliability of halal product transportation using GPS tracking system

    The reliability of halal product transportation using GPS tracking system by Mohamad, Maizatul Akma, Mansor, Shattri, Ahmad, Noordin, Wan Adnan, Wan Azizun, Muhammad Wali, Islam

    Published 2016
    “…Aiming at monitoring and reducing the possibility of cross contamination that might occur during the transportation process, the Halaltracer tracking system was developed using the combinations of Global Positioning System (GPS) and geofence algorithm. …”
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  19. 19
    Safe experimentation dynamics algorithm for identification of cupping suction based on the nonlinear Hammerstein model

    Safe experimentation dynamics algorithm for identification of cupping suction based on the nonlinear Hammerstein model by Kavindran, Suresh, Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad

    Published 2023
    “…This research paper suggests a method to detect the cupping suction model by employing the Hammerstein model and utilizing the Safe Experimentation Dynamics (SED) algorithm. …”
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  20. 20
    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition

    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

    Published 2004
    “…The RSNN provides a novel methodology for designing nonlinear filters without prior knowledge of the problem domain. The RNN was used to detect patterns present in satellite image. A novel feature extraction algorithm was developed to extract the feature vectors. …”
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