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  1. 1
    Enhancing pineapple cultivar classification: a framework for image quality, feature extraction, and algorithmic refinement

    Enhancing pineapple cultivar classification: a framework for image quality, feature extraction, and algorithmic refinement by Ab Jabal, Mohamad Faizal, Rozlan, Muhammad Irfan, Suhaimi, Azrina, Hasmy, Harshida

    Published 2025
    “…Accurate classification of pineapple cultivars is hindered by limitations in image acquisition, feature extraction, and classification algorithms. …”
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  2. 2
    Biceps brachii surface EMG classification using neural networks

    Biceps brachii surface EMG classification using neural networks by Chong, Yee Lin

    Published 2012
    “…The first part is about the development of an EMG acquisition platform. This platform consists of three modules; acquisition module, preprocessing module and feature extraction module. …”
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    Thesis
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  3. 3
    Near infrared palm image acquisition and two-finger valley point-based image extraction for palm vascular pattern detection

    Near infrared palm image acquisition and two-finger valley point-based image extraction for palm vascular pattern detection by Mohd Noh, Zarina

    Published 2019
    “…Based on the processing, a framework in extracting two fingers’ valley points to identify region-of-interest (ROI) was proposed; based on the nature of the acquisition process either it is guided or unguided acquisition. …”
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  4. 4
    Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images

    Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images by Chong, Bei Wei

    Published 2015
    “…Algorithm that applies ellipse approximation provides better performance as compared with the algorithm that developed based on parabolic approximation. …”
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  5. 5
    A network based fetal ECG monitoring algorithm

    A network based fetal ECG monitoring algorithm by Ibrahimy, Muhammad Ibn, Hasan , M. A., Motakabber, S. M. A.

    Published 2011
    “…The hardware part is developed for abdominal Electrocardiography (AECG) data acquisition system. …”
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  6. 6
    FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING

    FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING by LOH, WENG KEONG

    Published 2023
    “…The system consists of several distinct phases, including image acquisition, image pre-processing, feature extraction, classification, and results and evaluation. …”
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    Final Year Project Report / IMRAD
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  7. 7
    Identification and Grading of Manage Using Image Processing

    Identification and Grading of Manage Using Image Processing by Shukor, Syazwan

    Published 2021
    “…Experimental chamber for image acquisition is developed in building the image dataset. 40 random samples of "Mangga Susu Gold Thai mangos are sampled. …”
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    Final Year Project
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  8. 8
    Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe

    Fingerprint recognition using neural networks / Kennie Yeoh Eng Hoe by Kennie Yeoh , Eng Hoe

    Published 2001
    “…Alternatively, patch-matching algorithm was developed in success of the Fourier Transform method when results -were not favorable to it. …”
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  9. 9
    Developing stereo vision system for object recognition and positioning of AMAD-R mobile robot

    Developing stereo vision system for object recognition and positioning of AMAD-R mobile robot by Mohd Saifizi, Saidon, Hazry, Desa, Paulraj, Murugesa, Mohd Sofian, M. Rosbi

    Published 2009
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  10. 10
    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu

    Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

    Published 2005
    “…The project used Back-propagation Neural Network for the algorithm to classified images. Images that capture using digital camera will perform through the algorithm to classified images. …”
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  11. 11
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…The technology involves several stages relating to image acquisition, pre-processing, segmentation, feature extraction and classification. …”
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  12. 12
    Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA

    Removal of BCG artefact from concurrent fMRI-EEG recordings based on EMD and PCA by Javed, E., Faye, I., Malik, A.S., Abdullah, J.M.

    Published 2017
    “…The algorithm does not require extra electrocardiogram (ECG) or electrooculogram (EOG) recordings to extract the BCG artefact. …”
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  13. 13
    Square groove detection based on forstner with canny edge operator using laser vision sensor

    Square groove detection based on forstner with canny edge operator using laser vision sensor by Mohammed Naji, Osamah Abdullah Ahmed

    Published 2023
    “…The objectives of 1his research are to develop a detection algorithm 1hat can extract 1he feature points of1he square-groove; and 1he second objective is to evaluate 1he detection algorithm and its ability to extract 1he image features of 1he square-groove in temis of 1he accuracy. …”
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  14. 14
    A novel discrete wavelet transform-based graphical language classifier for identification of high-impedance fault in distribution power system

    A novel discrete wavelet transform-based graphical language classifier for identification of high-impedance fault in distribution power system by Veerasamy, Veerapandiyan, Abdul Wahab, Noor Izzri, Vinayagam, Arangarajan, Othman, Mohammad Lutfi, Ramachandran, Rajeswari, Inbamani, Abinaya, Hizam, Hashim

    Published 2020
    “…Furthermore, the proposed algorithm with LabVIEW facility is more flexible and can be implemented in real time using data acquisition unit for obtaining fault current signal from power system.…”
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  15. 15
    Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, and outstanding issues

    Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, a... by Reza M.S., Mannan M., Mansor M., Ker P.J., Mahlia T.M.I., Hannan M.A.

    Published 2025
    “…Additionally, the issues and challenges related to RUL prediction approaches such as; thermal runaway, material selection, cell balancing, battery aging, relaxation impact, training algorithms, data acquisition, and hyperparameter tuning were outlined to provide an in-depth understanding of the recent situations. …”
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  16. 16
    Development of autonomous cruise control system for convoy vehicle / Daniel Sim Yeat Han, Foong Chee Hin and Hudyjaya Siswoyo Jo

    Development of autonomous cruise control system for convoy vehicle / Daniel Sim Yeat Han, Foong Chee Hin and Hudyjaya Siswoyo Jo by Sim, Daniel Yeat Han, Foong, Chee Hin, Siswoyo Jo, Hudyjaya

    Published 2015
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  17. 17
    Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli

    Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli by Mohd Ramli, Mohamad Amirul Asyraf

    Published 2023
    “…This study addresses challenges related to data acquisition, preprocessing, feature extraction, and results. …”
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    Student Project
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  18. 18
    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui

    Magnetic resonance imaging sense reconstruction system using FPGA / Muhammad Faisal Siddiqui by Muhammad Faisal , Siddiqui

    Published 2016
    “…This thesis aimed to investigate and develop a novel parameterized architecture design for SENSE algorithm. …”
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  19. 19
    Design of Predictive Model for TCM Tongue Diagnosis In Malaysia Using Machine Learning

    Design of Predictive Model for TCM Tongue Diagnosis In Malaysia Using Machine Learning by Koe, Jia Chi

    Published 2020
    “…YOLO achieves 100% accuracy in extracting cracks and near 80% accuracy in extracting teeth-marks. …”
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    Final Year Project / Dissertation / Thesis
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  20. 20
    Intelligent Color Vision System For Ripeness Classification Of Oil Palm Fresh Fruit Bunch

    Intelligent Color Vision System For Ripeness Classification Of Oil Palm Fresh Fruit Bunch by Fadilah, Norasyikin

    Published 2015
    “…Then, the color features of the fruit region are extracted from the images and used as inputs to an Artificial Neural Network (ANN) model learning algorithm.…”
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