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    Smart indoor localization using machine learning techniques

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    Citable Link(s)
    http://hdl.handle.net/10217/84567
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    Ugave_colostate_0053N_12485.pdf (9.601Mb)
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    Abstract
    The advancement of smartphone devices has led to a generation of new applications and solutions. These devices give away a great deal of information about the user (location, posture, communication patterns, etc.), which helps in capturing the user's context. Such information can be utilized to create smarter apps from which the user can benefit. A challenging new area that is receiving a lot of attention is Indoor Localization whereas interest in location-based services is also rising. While numerous smartphone based indoor localization techniques have been proposed, these techniques have many ...
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    Author(s)
    Ugave, Viney Anand

    Advisor(s)
    Pasricha, Sudeep

    Date Issued
    2014
    Format
    born digital; masters theses
    Collections
    • 2000-2019 - CSU Theses and Dissertations
    • Theses and Dissertations - Department of Electrical and Computer Engineering

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