Search Results - pervasive ((((computing techniques) OR (mining techniques))) OR (learning techniques))

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  1. 1
    A conceptual framework for measuring the acceptance of pervasive learning

    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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  2. 2
    A conceptual framework for measuring the acceptance of pervasive learning

    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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  3. 3
    iMSL: Malay sign language for the deaf and hearing-impaired

    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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  4. 4
    Comparison of detection model using machine learning on android malware / Muhammad Ikmal Ihsan

    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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  5. 5
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media Anugerah, Md. Tap, Abu Osman

    Published 2011
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  6. 6
    Extreme learning machine for user location prediction in mobile environment

    Extreme learning machine for user location prediction in mobile environment by Mantoro, Teddy, Olowolayemo, Akeem, Olatunji, Sunday O., Ayu, Media A., Abu Osman, Md. Tap

    Published 2011
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  7. 7
    MLMO-HSM: Multi-label Multi-output Hybrid Sequential Model for multi-resident smart home activity recognition

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

    Published 2022
    “…Experimentation has been performed with various machine learning, graphical and deep learning models at the different sizes of the ARAS dataset to validate the efficiency of the proposed model in terms of activity recognition and computation time.…”
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  8. 8
    Drift management in ML-based IoT device classification: A survey and evaluation

    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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  9. 9
    A user profile for information filtering using RFID-SIM card in pervasive network

    A user profile for information filtering using RFID-SIM card in pervasive network by Osman, A.A., Mantoro, Teddy

    Published 2011
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  10. 10
    Covid-19 mortality risk prediction using small dataset of chest x-ray images

    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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  11. 11
    MalDroid: Secure DL-enabled intelligent malware detection framework

    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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  12. 12
    HMM as an inference technique for context awareness

    HMM as an inference technique for context awareness by Abdul Matin, Ahmad Faridi, Rahman, M.M. Hafizur

    Published 2015
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  13. 13
    GOPE: A MVC driven mobile framework using HTML5 for pervasive device container

    GOPE: A MVC driven mobile framework using HTML5 for pervasive device container by Lim, Tong Ming *, Lee, Angela Siew Hoong *, Choi, Yeong Terng *

    Published 2013
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  14. 14
    The trend of mobile malwares and effective detection techniques

    The trend of mobile malwares and effective detection techniques by Abdul Aziz, Normaziah, Adebayo, Surajudeen Adebayo

    Published 2015
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  15. 15
    Detection and avoidance technique of anomalous congestion at the network gateways

    Detection and avoidance technique of anomalous congestion at the network gateways by Ahmed, Abdulghani Ali

    Published 2018
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  16. 16
    Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm

    Mobile user location prediction enabled services in ubiquitous computing: determination user location using MFN algorithm by Mantoro, Teddy, Olowolayemo, Akeem Koye

    Published 2009
    “…The past decade has seen a rapid development of many applications in the field of pervasive or ubiquitous computing. This is made possible by rapid development in mobile and handheld devices. …”
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  17. 17
    Managerial performance measures in management accounting practices of Malaysian institutions of higher learning / Zubir Azhar and Ibrahim Kamal Abdul Rahman

    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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  18. 18
    Mobile cloud computing & mobile's battery efficiency approaches: A review

    Mobile cloud computing & mobile's battery efficiency approaches: A review by Ali, Mushtaq, Jasni, Mohamad Zain, Mohamad Fadli, Zolkipli, Badshah, Gran

    Published 2015
    “…This paper provide an overview of the software side by summarizing the background, techniques of battery augmentation, and on-going research on computational offloading to remote servers (Cloud); sending heavy computation to remote servers and receiving the result back on mobile screen. …”
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  19. 19
    PS+Pre/Post: a novel structure and access mechanism for wireless XML stream supporting twig pattern queries

    PS+Pre/Post: a novel structure and access mechanism for wireless XML stream supporting twig pattern queries by Mirabi, Meghdad, Ibrahim, Hamidah, Fathi, Leila

    Published 2014
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  20. 20
    Design and development of intelligent and easy home/office system

    Design and development of intelligent and easy home/office system by Zainal Abidin, Muhammad Shukri, Yusof, Rubiyah, Khor , Eik Fun, Zamzuri, Mohamad Fairol

    Published 2006
    “…An Intelligent Home (I-Home) System is envisioned as the by-product of pervasive computing and the availability of smart computer technology which making human interaction with the system a better home life experience. …”
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