Search Results - pervasive learning techniques

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  1. 1

    A conceptual framework for measuring the acceptance of pervasive learning by Koondhar, Muhammad Yaqoob, Abdul Molok , Nurul Nuha, Chandio, Fida Hussain, Rind, Muhammad Malook, Raza, Ali, Shah, Asadullah

    Published 2015
    “…The technology innovation and advancements in smart phones and wireless communications have reformed learning techniques such as Pervasive Learning (P-Learning), Mobile Learning (M-Learning) and Electronic Learning (E-Learning). …”
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    Proceeding Paper
  2. 2

    A conceptual framework for measuring the acceptance of pervasive learning by Koondhar, Muhammad Yaqoob, Abdul Molok, Nurul Nuha, Chandio, Fida, Rind, Muhammad Malook, Raza, Ali, Shah, Asadullah

    Published 2015
    “…The technological innovation and advancements in smart phones and wireless communication have reformed learning techniques such as Pervasive Learning (P-learning), Mobile Learning (m learning) and Electronic Learning (e-learning). …”
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    Conference or Workshop Item
  3. 3

    Comparison of detection model using machine learning on android malware / Muhammad Ikmal Ihsan by Ihsan, Muhammad Ikmal

    Published 2022
    “…The result of the comparison using the machine learning techniques for Android malware dataset discovered that SVM machine learning get the highest percentage with accuracy of 0.93. …”
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    Student Project
  4. 4

    iMSL: Malay sign language for the deaf and hearing-impaired by Muhd Darus, Norida, Abdullah, Nur Tahrina, Abdul Mutalib, Ariffin

    Published 2012
    “…This makes the learning activity pervasive.Based on that argument, this study aims at proposing a model for an interactive MSL (iMSL). …”
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    Conference or Workshop Item
  5. 5

    Managerial performance measures in management accounting practices of Malaysian institutions of higher learning / Zubir Azhar and Ibrahim Kamal Abdul Rahman by Azhar, Zubir

    Published 2009
    “…Findings indicate the use of performance measurement by in institutions of higher learning (IHLs) is pervasive, although survey respondents are less enthusiastic about measurement effectiveness. …”
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    Article
  6. 6

    MLMO-HSM: Multi-label Multi-output Hybrid Sequential Model for multi-resident smart home activity recognition by Ramanujam, E., Perumal, Thinagaran

    Published 2022
    “…The smart home produces a large volume of sensor activations to predict an elder’s health status to improve the quality of life and independent living. Machine learning techniques are very familiar and popular in recognizing single resident activities using such a sensor reading. …”
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    Article
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    Development of i-Code model for technical instructors in managing learning and teaching process towards digital TVET / Raihan Tahir by Raihan , Tahir

    Published 2024
    “…Through consensusbuilding techniques using the Nominal Group Technique and Interpretive Structural Modelling by 9 experts, a four-dimensional L&T process model was designed and developed. …”
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    Thesis
  10. 10

    Drift management in ML-based IoT device classification: A survey and evaluation by Waseem, Quadri, Wan Isni Sofiah, Wan Din, Azamuddin, Ab Rahman, Ali Khan, Arshad

    Published 2024
    “…This survey explores the use of machine learning techniques to manage drift management in IoT device classification, encompassing drift prevention detection, drift adaptation, and drift mitigation. …”
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    Article
  11. 11

    Covid-19 mortality risk prediction using small dataset of chest x-ray images by Olowolayemo, Akeem, Shams, Wafaa Khazaal, Omer, Abubakar Yagoub Ibrahim, Mohammed, Yasin, Batha, Mohammed Raashid Salih

    Published 2023
    “…Consequently, deep learning models based on the ResNet-18 architecture were trained on a small dataset of chest X-rays of patients infected with COVID-19 to predict mortality risk. …”
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    Article
  12. 12

    MalDroid: Secure DL-enabled intelligent malware detection framework by Ikram Ul Haq, Tamim Ahmed Khan, Adnan Akhunzada, Xuan Liu

    Published 2021
    “…Likewise, varied Android vulnerability exploitation and targeted pervasive malware sophisticated attacks are also becoming a hot spot for both industry and academia. …”
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    Article
  13. 13

    Heavy metal contamination during processing of canned fish: a review on food health and food safety by Md. Masud, Rana, Roslianah, Asdari, Ahmed Jalal Khan, Chowdhury, Mohammad Bodrul, Munir

    Published 2023
    “…The biggest and most pervasive issue is the presence of heavy metals like Pb, Hg, Cd, Cu, and Zn in canned fish. …”
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    Article