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  1. 1
    Computer based training for data structure and algorithms

    Computer based training for data structure and algorithms by Arlina Binti Abdul Razak

    Published 2026
    text::Final Year Project
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  2. 2
    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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  3. 3
    Evaluation of Real-Time Visio-Haptic Deformable Bovine Rectal Palpation Simulator

    Evaluation of Real-Time Visio-Haptic Deformable Bovine Rectal Palpation Simulator by Ahmad, Irshad, Sulaiman, Suziah

    Published 2010
    “…A real-time Visio-haptic Bovine Rectal Palpation Simulator for training veterinary students was developed. The simulator was meant for training medical veterinary students before they could actually perform diagnosis of various parts of the reproductive tract on live animals. …”
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    Conference or Workshop Item
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  4. 4
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
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  5. 5
    Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps

    Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps by Song-Quan Ong, Toke Thomas Høye

    Published 2024
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  6. 6
    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
    “…Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. …”
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    Thesis
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  7. 7
    A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h

    A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h by Bakar, Mohd Anif A.A., Ker, Pin Jern, Tang, Shirley G.H., Arman Shah, Fatin Nursyaza, Mahlia, T. M.Indra, Baharuddin, Mohd Zafri, Omar, Abdul Rahman

    Published 2025
    “…This work demonstrates a promising methodology in developing machine learning algorithm using hybrid chromaticity-morphological features for early detection of virus-infected chickens, contributing to the goal of a sustainable and healthier planet.…”
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