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  1. 1
    Teleworking monitoring system using NILM and K-NN algorithms: a strategy for sustainable smart cities

    Teleworking monitoring system using NILM and K-NN algorithms: a strategy for sustainable smart cities by Yang, Chuan Choong, Noh, Adriana, Ibrahim, Siti Noorjannah, Asnawi, Ani Liza, Mohamed Azmin, Nor Fadhillah

    Published 2024
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  2. 2
    User authentication and encryption using Near Field Communication (NFC) technology / Muhammad Syahmi Azhar

    User authentication and encryption using Near Field Communication (NFC) technology / Muhammad Syahmi Azhar by Azhar, Muhammad Syahmi

    Published 2017
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  3. 3
    A novel peer-to-peer SMS security solution using a hybrid technique of NTRU and AES-Rijndael

    A novel peer-to-peer SMS security solution using a hybrid technique of NTRU and AES-Rijndael by Al-Bakri, S.H., Mat Kiah, M.L.

    Published 2010
    “…The developed application is tested on real equipment such as a Nokia N70. …”
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  4. 4
    Exploratory research on the impact of Mysejahtera application on to the elderly based on user experience / Nur Aisya Roslan and Saiful Bahar Salim

    Exploratory research on the impact of Mysejahtera application on to the elderly based on user experience / Nur Aisya Roslan and Saiful Bahar Salim by Roslan, Nur Aisya, Salim, Saiful Bahar

    Published 2024
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  5. 5
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Yusoff, Aiman, Kamarudin, Noraziahtulhidayu, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Sapuan, Khusairi

    Published 2023
    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  6. 6
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Yusoff, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi

    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  7. 7
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Yusof, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi

    Published 2023
    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  8. 8
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Yusof, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi

    Published 2023
    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  9. 9
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Yusoff, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi

    Published 2023
    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  10. 10
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Aiman Yusof, Aiman Yusof, Kamarudin, Noraziahtulhidayu, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Khusairi Sapuan, Khusairi Sapuan

    Published 2023
    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  11. 11
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Aiman Yusoff, Aiman Yusoff, Noraziahtulhidayu Kamarudin, Noraziahtulhidayu Kamarudin, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Khusairi Sapuan, Khusairi Sapuan

    Published 2023
    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  12. 12
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Aiman Yusoff, Aiman Yusoff, Noraziahtulhidayu Kamarudin, Noraziahtulhidayu Kamarudin, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Khusairi Sapuan, Khusairi Sapuan

    Published 2023
    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  13. 13
    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development

    Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Aiman Yusoff, Aiman Yusoff, Noraziahtulhidayu Kamarudin, Noraziahtulhidayu Kamarudin, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Khusairi Sapuan, Khusairi Sapuan

    Published 2023
    “…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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  14. 14
    Detecting emotions and depression through voice

    Detecting emotions and depression through voice by Gunawan, Teddy Surya

    Published 2021
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  15. 15
    CAPWAP protocol and context transfer to support seamless handover

    CAPWAP protocol and context transfer to support seamless handover by M. Hasnan, Siti Norhaizum, Ayu, Media Anugerah, Mantoro, Teddy, Mazlan, M. Hasbullah, Abobakr, M., Balfaqih, A., Haseeb, Shariq

    Published 2013
    “…An emerging technology IEEE 802.11 Wireless Local Area Network (WLAN) has brought users to have trendy gadgets like smart phones, tablets and laptops. These applications require a fast and efficient handover that guarantee a service of security and Quality of Service (QoS). …”
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    Proceeding Paper
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  16. 16
    Design and implementation of a deep learning based hand gesture recognition system for Rehabilitation Internet-Of-Things (RIOT) environments using MediaPipe

    Design and implementation of a deep learning based hand gesture recognition system for Rehabilitation Internet-Of-Things (RIOT) environments using MediaPipe by Mohd Dhuzuki, Nurul Hanis, Zainuddin, Ahmad Anwar, Kamarul Zaman, Nur Anis Sofea, Ahmad Razmi, Alin Nur Maisarah, Kaitane, Wonderful Shammah, Ahmad Puzi, Asmarani, Johar, Mohd Naqiuddin, Yazid, Maslina, Mohd Nordin, Nor Azlin, Sidek, Shahrul Naim, Mohd Zaki, Hasan Firdaus

    Published 2025
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  17. 17
    Content-based indexing of low resolution documents

    Content-based indexing of low resolution documents by Md Nor, Danial

    Published 2016
    “…We develop CBIR system and conduct various retrieval experiments with the fundamental aim of comparing the accuracy during image retrieval. A new algorithm that can be used with integrated visual signatures, especially in late fusion query was introduced. …”
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  18. 18
    Knowledge Discovery Of Noise Level In Lecture Rooms

    Knowledge Discovery Of Noise Level In Lecture Rooms by Tang, Jau Hoong

    Published 2018
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    Monograph
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  19. 19
    Incremental learning for large-scale stream data and its application to cybersecurity

    Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

    Published 2015
    “…Imagine that a notice with a logo of Mobile Phone company is received by an email informing that the customer had recently run up a large mobile phone bill. …”
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  20. 20
    Enhancement Of Aodv Routing Protocol In Masnets

    Enhancement Of Aodv Routing Protocol In Masnets by Jambli, M.N., Wan Mohd Shuhaimi, W.B., Lenando, H., Abdullah, J., Mohamad Suhaili, S.

    Published 2015
    “…Therefore, in order to enhance the performance of AODV in MASNETs, the new routing algorithm based on the estimated distance is proposed to replace the hop count for the selection of next node during the packet transmission. …”
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    Proceeding
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