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  1. 1
    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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  2. 2
    Detecting emotions and depression through voice

    Detecting emotions and depression through voice by Gunawan, Teddy Surya

    Published 2021
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  3. 3
    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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  4. 4
    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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  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 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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  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 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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  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 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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  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 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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  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 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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  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 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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  11. 11
    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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  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
    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
    “…To process large-scale data sequences, it is important to choose a suitable learning algorithm that is capable to learn in real time. …”
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  14. 14
    Mobile Learning: An Application Prototype for AVL Tree Learning Object

    Mobile Learning: An Application Prototype for AVL Tree Learning Object by Ibrahim, Mohammad Noor, Mahamad, Saipunidzam, Chua, Edrea Ning Wei

    Published 2010
    “…The rapid growth of mobile phone technologies encourages many researchers to explore, design and develop mobile learning applications for tertiary students. …”
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    Conference or Workshop Item
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  15. 15
    Mobile Learning: An Application Prototype for AVL Tree Learning Object

    Mobile Learning: An Application Prototype for AVL Tree Learning Object by Ibrahim, Mohammad Noor, Mahamad, Saipunidzam, Chua, Edrea Ning Wei

    Published 2010
    “…The rapid growth of mobile phone technologies encourages many researchers to explore, design and develop mobile learning applications for tertiary students. …”
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  16. 16
    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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  17. 17
    The algorithm is ready to be a Shaykh Murabbi: can we define the social media ethics sometime soon?

    The algorithm is ready to be a Shaykh Murabbi: can we define the social media ethics sometime soon? by Paramboor, Jafar

    Published 2021
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  18. 18
    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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  19. 19
    Wearable based-sensor fall detection system using machine learning algorithm

    Wearable based-sensor fall detection system using machine learning algorithm by Ishak, Anis Nadia, Habaebi, Mohamed Hadi, Yusoff, Siti Hajar, Islam, Md. Rafiqul

    Published 2021
    “…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. An application called ‘AndroSensor’ on a smartphone, that retrieves real-time data from accelerometer, gyroscope and gravity sensors, is used as the input signals. …”
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    Proceeding Paper
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  20. 20
    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks

    Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

    Published 2025
    thesis::doctoral thesis
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