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  1. 1
    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
    “…The system consists of an image acquisition system, image processing component and oil palm FFB classification system. …”
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    Thesis
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  2. 2
    Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah

    Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah by Abu Samah, Abdul Hafiz

    Published 2021
    “…For the image enhancement process, this thesis has proposed high-pass filter combined with histogram equalization and de-haze algorithm respectively to improve the visual quality of fundus images. …”
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  3. 3
    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
    “…Several imaging, computer vision, and pattern recognition algorithms are employed to describe five dermoscopic features. …”
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    Thesis
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  4. 4
    RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights

    RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights by Seyed Vahid Moravvej, Roohallah Alizadehsani, Sadia Khanam, Zahra Sobhaninia, Afshin Shoeibi, Fahime Khozeimeh, Zahra Alizadeh Sani, Ru-San Tan, Abbas Khosravi, Saeid Nahavandi, Nahrizul Adib Kadri, N. Arunkumar, U.Rajendra Acharya, Muhammad Mokhzaini Azizan

    Published 2024
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  5. 5
    FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING

    FRUIT RECOGNITION APPLICATION USING MACHINE LEARNING by LOH, WENG KEONG

    Published 2023
    “…In this study, we present a fruit recognition system using machine learning techniques. 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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  6. 6
    Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning

    Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning by Ismail, Amelia Ritahani, Azhary, Muhammad Zulhazmi Rafiqi, Hitam, Nor Azizah

    Published 2025
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    Proceeding Paper
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  7. 7
    Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud

    Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud by Mahmud, Nur Farahana

    Published 2022
    “…The binary image of the extracted characters was fed to the CNN model for classification. …”
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  8. 8
    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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    Final Year Project / Dissertation / Thesis
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  9. 9
    Deep learning algorithm and IoT based system for Photovoltaic (PV) defect images classification

    Deep learning algorithm and IoT based system for Photovoltaic (PV) defect images classification by Mazlan, Nurul Atikah

    Published 2025
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  10. 10
    Medical data classification using similarity measure of fuzzy soft set based distance measure

    Medical data classification using similarity measure of fuzzy soft set based distance measure by Lashari, Saima Anwar, Ibrahim, Rosziati, Senan, Norhalina

    Published 2017
    “…The proposed modelling comprises of five phases explicitly: data acquisition, data pre-processing, data partitioning, classification using FussCyier and performance evaluation. …”
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  11. 11
    Novel techniques for enhancement and segmentation of acne vulgaris lesions

    Novel techniques for enhancement and segmentation of acne vulgaris lesions by Malik, A. S., Humayun, J., Kamel, N., Yap, F. B.-B.

    Published 2013
    “…The proposed algorithm uses local rank transform to generate the HDR images from a single acne image followed by the log transformation. …”
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    Citation Index Journal
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  12. 12
    Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i

    Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i by Shafi'i, Mohd Anuar

    Published 2010
    “…The optimized model is evaluated and validated through analysis of performance indicators frequently used in any classification model.…”
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    Thesis
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  13. 13
    Leaf condition analysis using convolutional neural network and vision transformer

    Leaf condition analysis using convolutional neural network and vision transformer by Yong, Wai Chun, Ng, Kok Why, Haw, Su Cheng, Naveen, Palanichamy, Ng, Seng Beng

    Published 2024
    “…The model performance is evaluated and compared with the other methods to ensure quality and usage compatibility in the plantation domain. …”
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  14. 14
    MEDCnet : A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN

    MEDCnet : A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN by Mohsin, Butt, Dayang Nurfatimah, Awang Iskandar, Majid, Ali Khan, Ghazanfar, Latif, Abul, Bashar

    Published 2025
    “…These detailed features are then utilized for classification based on standard machine learning algorithms. We have evaluated our proposed approach using the DDR and APTOS datasets. …”
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  15. 15
    Automated Vehicle Classification (AVC) using machine learning implementation in Malaysia's toll system

    Automated Vehicle Classification (AVC) using machine learning implementation in Malaysia's toll system by Hassan, Raini, Mohd Ridzal, Aisyah Afiqah, Fadzleey, Nur Zulfah Insyirah

    Published 2024
    “…Thus, this project aims to develop the best model detector for an automated vehicle classification system using computer vision and machine learning algorithms to enhance toll collection efficiency. …”
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    Book Chapter
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  16. 16
    Customer analysis with machine vision

    Customer analysis with machine vision by Tiong, Wei Jie

    Published 2023
    “…When the customer passes through a counting line drawn by the system, customer counting occurs, and the system will crop their faces for facial recognition and gender classification. …”
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    Final Year Project / Dissertation / Thesis
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  17. 17
    VGG16-based deep learning architectures for classification of lung sounds into normal, crackles, and wheezes using Gammatonegrams

    VGG16-based deep learning architectures for classification of lung sounds into normal, crackles, and wheezes using Gammatonegrams by Zakaria, Neili, Sundaraj, Kenneth

    Published 2023
    “…Breathing sounds are a rich source of information that can assist doctors in diagnosing pulmonary diseases in a non-invasive manner. Several algorithms can be developed based on these sounds to create an automatic classification system for lung diseases. …”
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    Conference or Workshop Item
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  18. 18
    A web-based image recognition system for detecting harumanis mangoes / Mohamad Shahmil Saari, Romiza Md Nor and Huzaifah A Hamid

    A web-based image recognition system for detecting harumanis mangoes / Mohamad Shahmil Saari, Romiza Md Nor and Huzaifah A Hamid by Saari, Mohamad Shahmil, Md Nor, Romiza, Huzaifah, A Hamid

    Published 2020
    “…Furthermore, the accuracy of the image classification can be improved by increasing the number of datasets, the distance of images from the camera, and the labelling process. …”
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  19. 19
    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. The digital image processing program enables longitudinal, transverse, and alligator cracking to be classified. …”
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  20. 20
    Automated classification radiograph of Periodontal bone loss using deep learning

    Automated classification radiograph of Periodontal bone loss using deep learning by Al Husaini, Mohammed Abdulla Salim, Habaebi, Mohamed Hadi, Yadav, Seema

    Published 2025
    “…Several combinations of epochs, learning rates, and optimisation algorithms were tested to enhance performance. Model evaluation metrics included accuracy, precision, recall, and F1-score. …”
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