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  1. 1
    Recognition of human motion from qualitative normalised templates

    Recognition of human motion from qualitative normalised templates by Chan, C.S., Liu, H., Brown, D.J.

    Published 2007
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  2. 2
    Text to Image Generation Using Machine Learning

    Text to Image Generation Using Machine Learning by Rishab, Tiwari, Chitra, K.

    Published 2024
    “…Many of the existing algorithms in this field struggle to produce visuals that precisely match the given text. …”
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  3. 3
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Mohammed Aswad, Firas, Saleh Ahmed,, Ali Mohammed, Ali Majeed Alhammadi, Nafea, Ahmad Khalaf, Bashar, A. Mostafa, Salama

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  4. 4
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Mohammed Aswad, Firas, Ahmed, Ali Mohammed Saleh, Majeed Alhammadi, Nafea Ali, Ahmad Khalaf, Bashar, A. Mostafa, Salama

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  5. 5
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Mohammed Aswad, Firas, Saleh Ahmed, Ali Mohammed, Ali Majeed Alhammadi, Nafea, Ahmad Khalaf, Bashar, A. Mostafa, Salama

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  6. 6
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Firas Mohammed Aswad, Firas Mohammed Aswad, Ali Mohammed Saleh Ahmed, Ali Mohammed Saleh Ahmed, Nafea Ali Majeed Alhammadi, Nafea Ali Majeed Alhammadi, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  7. 7
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Mohammed Aswad, Firas, Ahmed, Ali Mohammed Saleh, Ali Majeed Alhammadi, Nafea, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  8. 8
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Firas Mohammed Aswad, Firas Mohammed Aswad, Ali Mohammed Saleh Ahmed, Ali Mohammed Saleh Ahmed, Nafea Ali Majeed Alhammadi, Nafea Ali Majeed Alhammadi, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  9. 9
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Firas Mohammed Aswad, Firas Mohammed Aswad, Ali Mohammed Saleh Ahmed, Ali Mohammed Saleh Ahmed, Nafea Ali Majeed Alhammadi, Nafea Ali Majeed Alhammadi, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

    Published 2022
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  10. 10
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Mohammed Aswad, Firas, Mohammed Saleh Ahmed, Ali, Ali Majeed Alhammadi,, Nafea, Ahmad Khalaf, Bashar, Mostafa, Salama A.

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  11. 11
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Mohammed Aswad, Firas, Ahmed, Ali Mohammed Saleh, Ali Majeed Alhammadi, Nafea Ali Majeed Alhammadi, Khalaf, Bashar Ahmad, Mostafa, Salama A.

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  12. 12
    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks

    Deep learning in distributed denial-ofservice attacks detection method for Internet of Things networks by Firas Mohammed Aswad, Firas Mohammed Aswad, Ali Mohammed Saleh Ahmed, Ali Mohammed Saleh Ahmed, Nafea Ali Majeed Alhammadi, Nafea Ali Majeed Alhammadi, Bashar Ahmad Khalaf, Bashar Ahmad Khalaf, Salama A. Mostafa, Salama A. Mostafa

    Published 2023
    “…Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. …”
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  13. 13
    Anomaly detection for vision-based inspection

    Anomaly detection for vision-based inspection by Chew, Yan Zhe

    Published 2022
    “…Tests were conducted on the MVTec Anomaly Detection dataset, which is a dataset for benchmarking anomaly detection methods with a focus on industrial inspection. The algorithms that were used for the conventional approach are Template Matching, Structural Similarity Index, Scale Invariant Feature-Transform and Oriented FAST and Rotated BRIEF, whereas the deep learning models that were used for the modern approach are Patch Distribution Modelling (PaDiM) and PatchCore. …”
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    Final Year Project / Dissertation / Thesis
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  14. 14
    A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy

    A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy by Dewandaru, Agung, Md Said, Abas, Matori, A. N.

    Published 2008
    “…The curve-to-curve matching algorithms measure the similarity between the track and possible road path. …”
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  15. 15
    A novel map-matching algorithm to improve vehicle tracking system accuracy

    A novel map-matching algorithm to improve vehicle tracking system accuracy by A.M., Said, A.N., Matori, A., Dewandaru

    Published 2007
    “…Map-matching algorithms attempt to pinpoint the vehicle in a particular road map segment (or any restricting track such as rails, etc), in spite of the digital map errors and navigation system inaccuracies. …”
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    Conference or Workshop Item
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  16. 16
    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation

    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
    “…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”
    Conference paper
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  17. 17
    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy

    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Dewandaru, Agung

    Published 2008
    “…Keywords: map-matching, vehicle tracking systems, Multiple Hypotheses Technique, Global Positioning System.…”
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    Thesis
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  18. 18
    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy

    A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy by Agung Dewandaru, Agung

    Published 2008
    “…Keywords: map-matching, vehicle tracking systems, Multiple Hypotheses Technique, Global Positioning System.…”
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    Final Year Project
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  19. 19
    Patient's Chatting Mechanism Serious Game for Internal Medicine Practice

    Patient's Chatting Mechanism Serious Game for Internal Medicine Practice by Lee Sim, Siew

    Published 2013
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    Undergraduates Project Papers
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  20. 20
    CAR LICENSE PLATE RECOGNITION BY USING TEMPLATE MATCHING ALGORITHM

    CAR LICENSE PLATE RECOGNITION BY USING TEMPLATE MATCHING ALGORITHM by Fariza, Mahyan, Termimi Hidayat, Mahyan, Asrani, Lit

    Published 2015
    “…Car License Plate Recognition (CLPR) system is one of the important areas in the intelligent traffic engineering field. …”
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    Proceeding
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