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  1. 1
    3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm

    3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm by Yong, Ericsson, Muhammad Aizzat, Zakaria, Mohamad Heerwan, Peeie, M. Izhar, Ishak

    Published 2024
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  2. 2
    Waste management using machine learning and deep learning algorithms

    Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

    Published 2020
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  3. 3
    Design of a pattern classification system using extreme learning machine

    Design of a pattern classification system using extreme learning machine by Sakthivel Thangavelu

    Published 2024
    text::Final Year Project
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  4. 4
    Design of a pattern classification system using extreme learning machine

    Design of a pattern classification system using extreme learning machine by Sakthivel Thangavelu

    Published 2023
    text::Final Year Project
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  5. 5
    Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin

    Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin by Samsudin, Fahmi

    Published 2023
    “…Artificial intelligence (AI) refers to the capability of machines to perform tasks that traditionally require human intelligence, such as problem-solving, decision-making, and perception. …”
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  6. 6
    Breast cancer prediction using machine learning

    Breast cancer prediction using machine learning by Serajee, Nasheed, Mannan, Saad, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Wani, Sharyar, Abubakar, Adamu, Olowolayemo, Akeem Koye

    Published 2022
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  7. 7
    Breast cancer prediction using machine learning

    Breast cancer prediction using machine learning by Seraje, Nasheed Hossain, Mannan, Saad, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Wani, Sharyar, Abubakar, Adamu, Olowolayemo, Akeem

    Published 2021
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  8. 8
    Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali

    Sentiment analysis regarding marital issues using Naive Bayes algorithm / Farah Nabila Mohd Razali by Mohd Razali, Farah Nabila

    Published 2025
    “…This study explores the application of sentiment analysis using the Naive Bayes algorithm to understand public perceptions of marital issues, particularly factors contributing to the rising divorce rate. …”
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  9. 9
    Risk perception modeling based on physiological and emotional responses / Ding Huizhe

    Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

    Published 2024
    “…Therefore, accurate risk perception has become vital. This research aims to develop models for objectively assessing perceived risk. …”
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  10. 10
    Home intruder detection system using machine learning and IoT

    Home intruder detection system using machine learning and IoT by Sahlan, Fadhluddin, Feizal, Faeez Zimam, Mansor, Hafizah

    Published 2022
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  11. 11
    Identifying and predicting Muslim’s community funeral funding protocols

    Identifying and predicting Muslim’s community funeral funding protocols by Ibrahim, Izzul Ismail, M Ashhuri, Muhammad Hassan, Hassan, Raini

    Published 2024
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  12. 12
    Auto raise hand in Microsoft teams (API/Extension)

    Auto raise hand in Microsoft teams (API/Extension) by Teh, Boon Hin

    Published 2023
    “…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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  13. 13
    Optimization of abrasive machining of ductile cast iron using water based SiO2 nanocoolant : a radial basis function

    Optimization of abrasive machining of ductile cast iron using water based SiO2 nanocoolant : a radial basis function by Azma Salwani, Ab Aziz

    Published 2012
    “…Multi-Layer Perception (MLP) along with batch back propagation algorithm are used. …”
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  14. 14
    Automated classification of celestial objects using machine learning

    Automated classification of celestial objects using machine learning by Muhamad Suwaid, Muhammad Aiman Haris, Ab Karim, Muhammad ‘Ilyas Amierrullah, Hassan, Raini, Abdul Aziz, Azni

    Published 2025
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  15. 15
    Development of ground truth data for automatic lumbar spine MRI image segmentation

    Development of ground truth data for automatic lumbar spine MRI image segmentation by Natalia, Friska, Meidia, Hira, Afriliana, Nunik, Al-Kafri, Ala S., Sudirman, Sud, Simpson, Andrew, Sophian, Ali, Al-Jumaily, Mohammed, Al-Rashdan, Wasfi, Bashtawi, Mohammad

    Published 2019
    “…The quality of the resulting system depends largely on the availability of good data for the machine learning algorithm to train on. Training data of a supervised learning process needs to include ground truth, i.e., data that have been correctly annotated by experts. …”
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  16. 16
    Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia

    Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia by A Rahim, Afiq Izzudin

    Published 2022
    “…Conclusion: Using data acquired from FB reviews and machine learning algorithms, a pragmatic and practical strategy for eliciting patient perceptions of service quality and supplementing standard patient satisfaction surveys has been created. …”
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  17. 17
    The effects of COVID-19 in global warming through the application of data science

    The effects of COVID-19 in global warming through the application of data science by Rafia, Tasnim, Mahmood Hasan, Tanveer, Hassan, Raini

    Published 2022
    “…Some contemporary temperature datasets, Nitrogen Dioxide emission datasets, that incorporate years (2016 to 2021), have been analysed, using machine learning algorithms in order to accomplish the assertion. …”
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  18. 18
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
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  19. 19
    Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach

    Development of classification methods for wheeze and crackle using mel frequency cepstral coefficient (MFCC): a deep learning approach by Mohamed Sadi, Tinir, Hassan, Raini

    Published 2020
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  20. 20
    Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network

    Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network by Aziz, N., Abdullah, M.H.A., Zaidi, A.N.

    Published 2020
    “…Recently, many researchers have turned to machine learning approached to cater to this problem. …”
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