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  1. 1
    Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi

    Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

    Published 2017
    “…The second one is to develop prototype for classification of credit cardholder behavior based on k Nearest Neighbors Algorithm. …”
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  2. 2
    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
    “…All these algorithms are tested using thousands of images. The hybrid color segmentation algorithm has eventually been chosen for this proposed system as it shows the best performance for detection of road signs. …”
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  3. 3
    Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices

    Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices by Saadeldin, Abuelgasim, Rashid, Muhammad Mahbubur, Shafie, Amir Akramin, Hasan, Tahsin Fuad

    Published 2024
    “…The system makes use of a custom-built vehicle detection algorithm based on the you only look once version 8 nano (YOLOv8n), combined with a deep association metric (DeepSORT) object tracking algorithm and an efficient vehicle counting method for accurate counting of vehicles in highway scenes. …”
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  4. 4
    Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs

    Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

    Published 2021
    “…This allows emotion applications to respond better to requirements and customize interactions based on affective responses. …”
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  5. 5
    A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC

    A real-time mobile notification system for inventory stock out detection using SIFT and RANSAC by Merrad, Yacine, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Gunawan, Teddy Surya

    Published 2020
    “…The proposed method is a machine learning based real-time notification system using the exciting Scale Invariant Feature Transform feature detector (SIFT) and Random Sample Consensus (RANSAC) algorithms. …”
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  6. 6
    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi

    DurianCare: optimising trunk disease detection and precision farming in a mobile application / Muhammad Haziq Azmi by Azmi, Muhammad Haziq

    Published 2025
    “…The project will implement automated detection and disease management recommendation algorithms while evaluating the functionality and usability of the designed application. …”
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  7. 7
    Product design and development strategies for an automated Printed Circuit Board (PCB) defects detection systems

    Product design and development strategies for an automated Printed Circuit Board (PCB) defects detection systems by Kamaruddin, Shafie, Shamsulamri, Saiffaqrullah, Sharwazi, Muhammad Haziq Fakhri, Suhaimi, Muhammad Harith Ikhmal, Mohamad, Muhamad Ariff Othmani, Sukindar, Nor Aiman, Ahmad Azhar, Ahmad Zahirani

    Published 2024
    “…This work aims to design and develop a low-cost, automated PCB defects detection system utilizing modern machine learning methods. …”
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  8. 8
    Distribution network fault section estimation using analytical database approach

    Distribution network fault section estimation using analytical database approach by Mokhtar, Ahmad Safawi

    Published 2004
    “…Database search and comparison algorithms were developed to identify the faulty section fix the network. …”
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  9. 9
    A voting-based hybrid machine learning approach for fraudulent financial data classification / Kuldeep Kaur Ragbir Singh

    A voting-based hybrid machine learning approach for fraudulent financial data classification / Kuldeep Kaur Ragbir Singh by Kuldeep Kaur , Ragbir Singh

    Published 2019
    “…Standard base machine learning algorithms, which include a total of twelve individual methods as well as the AdaBoost and Bagging methods, are firstly used. …”
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  10. 10
    Incremental learning for large-scale stream data and its application to cybersecurity

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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  11. 11
    Design & Development of a Robotic System Using LEGO Mindstorm

    Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

    Published 2006
    “…A Java-based robot development tool has been set up as alternative programming methods incorporating LeJos and the controller. …”
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  12. 12
    The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer

    The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer by Tehseen Mazhar, Inayatul Haq, Allah Ditta, Syed Agha Hassnain Mohsan, Faisal Rehman, Imran Zafar, Jualang Azlan Gansau, Lucky Poh Wah Goh

    Published 2023
    “…Machine learning (ML) can enhance a dermatologist’s work, from diagnosis to customized care. The development of ML algorithms in dermatology has been supported lately regarding links to digital data processing (e.g., electronic medical records, Image Archives, omics), quicker computing and cheaper data storage. …”
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  13. 13
    Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network

    Real-Time (Vision-Based) Road Sign Recognition Using an Artificial Neural Network by Islam, K.T., Raj, R.G.

    Published 2017
    “…In the first stage, a hybrid color segmentation algorithm has been developed and tested. In the second stage, an introduced robust custom feature extraction method is used for the first time in a road sign recognition approach. …”
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  14. 14
    Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning

    Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning by Alsumaidaee Y.A.M., Yaw C.T., Koh S.P., Tiong S.K., Chen C.P., Ali K.

    Published 2023
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  15. 15
    Optimised content-social based features for fake news detection in social media using text clustering approach

    Optimised content-social based features for fake news detection in social media using text clustering approach by Yahya, Adnan Hussein Ali

    Published 2025
    “…To address this problem, this research presents a fake news detection method that combines different features and developing methods for the most crucial phases in the detection process, including feature extraction, feature selection and fake news detection phases. …”
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  16. 16
    Methods of intrusion detection in information security incident detection: a comparative study

    Methods of intrusion detection in information security incident detection: a comparative study by Tan, Fui Bee, Yau, Ti Dun, M. N. M., Kahar

    Published 2018
    “…These algorithms and methods provide fast and high rate of detection. …”
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  17. 17
    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE

    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE by Saipullah, Khairul Muzzammil

    Published 2012
    “…However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. …”
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  18. 18
    Machine learning algorithms in context of intrusion detection

    Machine learning algorithms in context of intrusion detection by Mehmood, T., Rais, H.B.Md.

    Published 2016
    “…Many machine learning techniques have been developed to cope with this problem. These machine learning algorithms develop a detection model in a training phase. …”
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  19. 19
    Multi road marking detection system for autonomous car using hybrid- based method

    Multi road marking detection system for autonomous car using hybrid- based method by Shah, Khan Bahadur

    Published 2018
    “…The proposed system consists of a combination of Inverse Perspective Transform method, an image enhancement method and edge detection method. …”
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  20. 20
    Detection of head position using chain code algorithm

    Detection of head position using chain code algorithm by Fuad, Norfaiza

    Published 2007
    “…This thesis focuses on a method to recognize and detect a human at the surveillance or highlighted area boundary based their head beside; a simulation system of head detection was developed using image processing. …”
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