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Showing 1 - 6 results of 6 for search 'geographical user algorithm', query time: 0.04s Refine Results
  1. 1
    Tourism in Lebanon. (c1998)

    Tourism in Lebanon. (c1998) by Nahle, Diana A.

    Published 1998
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    masterThesis
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  2. 2
    Public schools regrouping decision support system. (c1997)

    Public schools regrouping decision support system. (c1997) by Rishani, Ghada

    Published 1997
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  3. 3
    User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations

    User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations by Abbas, Nadine Fawaz

    Published 2017
    “…In the second thesis objective, we propose multi-user trac o✏oading strategies for dense wireless networks where a very high number of users in a given geographical area request simultaneously access to given data services, e.g., in a sports stadium or exhibition center. …”
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  4. 4
    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study

    An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study by Ayman Hassan (14426412)

    Published 2024
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  5. 5
    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks

    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks by Abbas, Nadine

    Published 2018
    “…In this work, we focus on the problem of user capacity maximization in ultra dense heterogeneous networks with device-to-device cooperation, where a large number of users in a given geographical area request common data content, such as video on demand streaming, with strict quality of service guarantees. …”
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  6. 6
    Building power consumption datasets: Survey, taxonomy and future directions

    Building power consumption datasets: Survey, taxonomy and future directions by Yassine Himeur (14158821)

    Published 2020
    “…For instance, building energy consumption patterns are sourced from several sources, including ambient conditions, user occupancy, weather conditions and consumer preferences. …”
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