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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
    DESIGN AND DEVELOPMENT OF ANDROID-BASED LEARNING MEDIA FOR LEARNING ALGORITHM AND DATA STRUCTURE

    DESIGN AND DEVELOPMENT OF ANDROID-BASED LEARNING MEDIA FOR LEARNING ALGORITHM AND DATA STRUCTURE by Rosyid Ridlo, Al Hakim, Rianti Y., Kisworini, Aditia P., Hamid, Agung, Pangestu, Ariep, Jaenul, Yanuar Zulardiansyah, Arief

    Published 2021
    “…One of the learning techniques is in the form of algorithms and data structures. …”
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    Proceeding
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  3. 3
    A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction

    A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction by Rashid, Mamunur, Bari, Bifta Sama, Yusri, Yusup, Mohamad Anuar, Kamaruddin, Khan, Nuzhat

    Published 2021
    “…Due to this developing significance of crop yield prediction, this article provides an exhaustive review on the use of machine learning algorithms to predict crop yield with special emphasis on palm oil yield prediction. …”
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  4. 4
    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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  5. 5
    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool

    Data Analysis and Machine Learning Algorithms Evaluation for Bioliq AI-based Predictive Tool by Samuel Simbine, Augusto

    Published 2019
    “…This final year project identified relevant parameters through literature research, analysis and expert interview, and evaluated different machine learning algorithms and identified linear regression as the most applicable and efficient with its R-square of 0.8015, qualifying it to be used for the development of a hybrid model for the AI-based tool for predictive process optimization for chemical plants.…”
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    Final Year Project
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  6. 6
    Ethical Considerations in the Use of AI in Learning and Teaching for Special Education.

    Ethical Considerations in the Use of AI in Learning and Teaching for Special Education. by Noor Aida, Md Noor, Siti Noor Aneeis, Hashim, Juereanor, Mat Jusoh, Leha, Saliman, Shazali, Johari, NorHamidah, Ibrahim, Zaim Azizi, Abu Bakar, Mohd Norazmi, Nordin

    Published 2026
    “…The paper concludes by proposing a set of normative guidelines for educators, developers, and policymakers to foster an inclusive and ethically sound AI-augmented learning ecosystem.…”
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  7. 7
    DEVELOPMENT OF DRIVER DROWSINESS DETECTION ALGORITHM

    DEVELOPMENT OF DRIVER DROWSINESS DETECTION ALGORITHM by YVONNE, PHUA YEE WUN

    Published 2022
    “…To contribute to the existing works of driver drowsiness detection systems, this project aims to develop a more useful drowsiness detection algorithm with low complexity and high performance using Python 3.10.1 software. …”
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    Final Year Project Report / IMRAD
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  8. 8
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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  9. 9
    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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  10. 10
    Framework development in extracting rules from trained neural network / Shuzlina Abdul Rahman, Azlinah Hj Mohamed and Marina Yusoff

    Framework development in extracting rules from trained neural network / Shuzlina Abdul Rahman, Azlinah Hj Mohamed and Marina Yusoff by Abdul Rahman, Shuzlina, Mohamed (Hj), Azlinah, Yusoff, Marina

    Published 2006
    “…The analysis is derived by excavating literature on RE techniques starting from the year 1993 until 2003 focused on supervised learning algorithm. The framework primarily demonstrates that each approach does not require a special training process for a new input dataset and does not require special network architecture and it can be used as a guideline to ANNs researcher and developer to choose a suitable RE techniques in order for them to perform ANNs' research or developing ANN applications.…”
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    Research Reports
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  11. 11
    A real time deep learning based driver monitoring system

    A real time deep learning based driver monitoring system by Wani, Sharyar, Fitri, Mohamad Faris, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Faiz, Mohammad Syukri, Sembok, Tengku Mohd

    Published 2019
    “…Some researchers have focused on developing mobile engines based on machine learning algorithms for detecting driver drowsiness. …”
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  12. 12
    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 Extreme Learning Machine (ELM) methodology was also adopted in IWS-1 and compared with traditional training algorithms. …”
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  13. 13
    Speed control of separately excited dc motor using artificial intelligent approach

    Speed control of separately excited dc motor using artificial intelligent approach by Bernard, Albinus

    Published 2013
    “…A neural network controller with learning technique based on back propagation algorithm is developed. …”
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  14. 14
    Application of machine learning in analysing historical and non-historical characteristics of heritage pre-war shophouses / Nur Shahirah Ja’afar and Junainah Mohamad

    Application of machine learning in analysing historical and non-historical characteristics of heritage pre-war shophouses / Nur Shahirah Ja’afar and Junainah Mohamad by Ja’afar, Nur Shahirah, Mohamad, Junainah

    Published 2021
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  15. 15
    Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting

    Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting by Hassan, S., Khosravi, A., Jaafar, J.

    Published 2015
    “…From the functional equivalence of fuzzy logic systems and SLFN, the fuzzy logic systems can be interpreted as a special case of SLFN under some mild conditions. Hence the fuzzy logic systems can be trained using SLFN's learning algorithms. …”
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  16. 16
    Path Following Using A Learning Neural Network

    Path Following Using A Learning Neural Network by NHH , Mohamad Hanif

    Published 2004
    “…This thesis is a development ofprevious works done by [2} on capability of neural controller to efficiently track prescribed paths. …”
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    Final Year Project
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  17. 17
    A real time deep learning based driver monitoring system

    A real time deep learning based driver monitoring system by Mohd Hanafi, Mohamad Faris Fitri, Md. Nasir, Mohammad Sukri Faiz, Wani, Sharyar, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Gulzar, Yonis, Hamid, Yasir

    Published 2021
    “…Some researchers have focused on developing mobile engines based on machine learning algorithms for detecting driver drowsiness. …”
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  18. 18
    Development of IoT-based automated dynamic emergency response system against fire incidents in academic building

    Development of IoT-based automated dynamic emergency response system against fire incidents in academic building by Al-Hady, Syed Mohammed Zakaria, Islam, Md Rafiqul, Rashid, Muhammad Mahbubur

    Published 2023
    “…The proposed system leverages IoT technology, wireless and bluetooth sensor networks to gather real-time data from various sensors and devices installed in the site and uses machine learning algorithms to predict and prevent potential fire incidents. …”
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  19. 19
    Handwritten character recognition system for online learning using Recurrent Neural Network (RNN) / Nur Nabilah Shafiqah Rosli

    Handwritten character recognition system for online learning using Recurrent Neural Network (RNN) / Nur Nabilah Shafiqah Rosli by Rosli, Nur Nabilah Shafiqah

    Published 2022
    “…The purpose of this research to develop handwritten character recognition system by using Recurrent Neural Network (RNN) algorithm. …”
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    Student Project
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  20. 20
    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
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