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  1. 1
    Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents

    Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents by Zulcaffle, Tengku Mohd Afendi

    Published 2007
    “…A noise model has been developed to test the reliability of the proposed algorithm. …”
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  2. 2
    Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection

    Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection by Yong, Guang

    Published 2019
    “…This method is an active microwave imaging technique which is formulated in the time-domain utilizing Finite-Difference Time-Domain (FDTD) method. …”
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  3. 3
    Comparative Study on the Automated Warehouse with Cartesian Robot Using PLC and Arduino

    Comparative Study on the Automated Warehouse with Cartesian Robot Using PLC and Arduino by Aussawarangkul, Thitisak, S. A., Che Ghani, Wattanasinbumrung, Pakanun, Sawangsri, Worapong

    Published 2023
    “…Furthermore, integration of the ROS with an automation unit to upgrade an existing system have currently been conducted on the warehouse system to evaluate and compare the system’s performances. …”
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  4. 4
    Automatic Textile Stain Detection Using Yolo Algorithm

    Automatic Textile Stain Detection Using Yolo Algorithm by Keerthan, N., Ushasree, , Priyanka, Mohan

    Published 2024
    “…The proposed system utilizes a YOLOv5 model trained on a diverse dataset of stained textile images to accurately identify and localize stains in real-time. …”
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  5. 5
    Deep learning-based item classification for retail automation

    Deep learning-based item classification for retail automation by Ling, Ji Xiang

    Published 2025
    “…Real-time processing was achieved through the integration of object detection algorithms like YOLO and image segmentation techniques. …”
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  6. 6
    Identifying melanoma characteristics using directional imaging algorithm and convolutional neural network on dermoscopic images / Mohammad Asaduzzaman Rasel

    Identifying melanoma characteristics using directional imaging algorithm and convolutional neural network on dermoscopic images / Mohammad Asaduzzaman Rasel by Mohammad Asaduzzaman , Rasel

    Published 2024
    “…Both phases of the research outputs are evaluated and compared with the state-of-the-art methods. …”
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  7. 7
    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications

    Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

    Published 2025
    “…On the other hand, artificial intelligence had been ways to enhances embedded system by enabling real-time, accurate detection and management of PCB defects through advanced pattern recognition and automated inspection methods. …”
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  8. 8
    Ischemic Stroke Detection System With Computer Aided Diagnostic Capability

    Ischemic Stroke Detection System With Computer Aided Diagnostic Capability by Lina, Tay

    Published 2017
    “…Therefore, this project is to develop program for automated emboli detection. MATLAB are used to develop signal processing algorithm of the system. …”
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  9. 9
    Radiomics analysis and supervised machine learning model for classification of cervical cancer images using diffusion weighted imaging-MRI

    Radiomics analysis and supervised machine learning model for classification of cervical cancer images using diffusion weighted imaging-MRI by Ramli, Zarina

    Published 2024
    “…Additionally, the SVM algorithm was evaluated based on its performance across different DWI bvalues, aiming to optimize scanning time. …”
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  10. 10
    Automated detection and evaluation of ischemic stroke on ct brain imaging using machine learning techniques

    Automated detection and evaluation of ischemic stroke on ct brain imaging using machine learning techniques by Sharuddin, Nur Amirah Atikah

    Published 2025
    “…Additionally, the training time for each model was recorded: SVM took 0.0152 seconds, KNN took 0.0114 seconds, and Random Forest took 0.2083 seconds. …”
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  11. 11
    Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed

    Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed by Aneesa Ali, Ali Saeed

    Published 2017
    “…One of the input models for MBT is state machine model which currently widely utilized to model embedded systems. …”
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  12. 12
    Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique

    Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique by Ling, Tung Chai

    Published 2005
    “…Furthermore, the automated method can improve the objectivity, accuracy, and consistency of distress survey data. …”
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  13. 13
    Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli

    Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli by Rosli, Mohamed Syazwan Asyraf

    Published 2022
    “…Driven by these challenges, there is a need for an automated real-time method that can replace the manual analyzing process and be able to work under constraints environments. …”
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  14. 14
    Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach

    Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach by Mustaffar, Mushairry, Puan, O. C., Ling, Tung Chai

    Published 2008
    “…This research is aimed at the development of an Automated Pavement Imaging Program (APIP) for evaluating pavement distress condition. …”
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  15. 15
    Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm

    Enhancing NoC-based MPSoC performance: a predictive approach with ANN and guaranteed convergence arithmetic optimization algorithm by Muhsen, Yousif Raad, Husin, Nor Azura, Zolkepli, Maslina, Manshor, Noridayu, Al-Hchaimi, Ahmed Abbas Jasim, Ridha, Hussein Mohammed

    Published 2023
    “…The main idea of the proposed method is to develop a prediction model, speci‚cally an Arti‚cial Neural Network (ANN) optimized using the Guaranteed Convergence Arithmetic Optimization Algorithm (GCAOA-ANN), for predicting the utilized routing algorithm in NoC-based MPSoC platform during the DSE process. …”
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  16. 16
    Customer analysis with machine vision

    Customer analysis with machine vision by Tiong, Wei Jie

    Published 2023
    “…Due to time constraints, several components and algorithms could not be addressed in this study. …”
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  17. 17
    Vector evaluated particle swarm optimization approach to solve assembly sequence planning problem

    Vector evaluated particle swarm optimization approach to solve assembly sequence planning problem by A. Mukred, Jameel A., A. Rahim, Ruzairi, Mohamad, Elmy Johana, Salh, Adeeb, Ashyap, Adel Y. I., Abdullah, Qazwan, AL-Fadhali, Najib, Al-Ameri, S., Al-Ashwal, Rania

    Published 2022
    “…AI is increasingly playing a key role in such flexible automation systems [19].…”
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  18. 18
    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)

    Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

    Published 2026
    “…The enhanced harmony search (EHS) algorithm is employed to tune hyperparameters and increase model performance while mitigating overfitting in the EPDL model. …”
    thesis::doctoral thesis
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  19. 19
    A machine learning model for real-time asynchronous breathing monitoring

    A machine learning model for real-time asynchronous breathing monitoring by Loo, Nienloong, Chiew, Y. S., Tan, C. P., Arunachalam, Ganesaramachandran, Md Ralib, Azrina, Mat Nor, Mohd Basri

    Published 2018
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  20. 20
    Evolving fuzzy grammar for crime texts categorization

    Evolving fuzzy grammar for crime texts categorization by Mohd Sharef, Nurfadhlina, Martin, Trevor

    Published 2015
    “…Results show that the EFG algorithm produces results that are close in performance with the other ML methods while being highly interpretable, easily integrated into a more comprehensive grammar system and with lower model retraining adaptability time.…”
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