Global ETD Search

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Showing 1 to 4 of 4 for “"data distillation"”.

  1. Cyber-physical data distillation in a sensor rich world

    … will be dominated by vast amount of sensing data. This thesis attacks a grand challenge in this vision: how to extract human-consumable information from such data? The prime contribution of this work is a framework called FusionSuite that facilitates the development of future applications and …

    uiuc Repository record for Cyber-physical data distillation in a sensor rich world (opens in a new tab)

  2. Data Sharing and Retrieval of Manufacturing Processes

    … pool their resources to acquire large amounts of data that can then be used in machine learning tasks. Despite the potential to speed up training and deployment and improve decision-making through data-sharing, rising privacy concerns are slowing the spread of such technologies. As businesses are …

    vt Repository record for Data Sharing and Retrieval of Manufacturing Processes (opens in a new tab)

  3. Efficient data to decision pipelines for embedded and social sensing

    … presents results of our studies in making data to decision pipelines for embedded and social sensing efficient. Due to the pervasive presence of wired sensors, wireless sensors, and mobile devices, the amount of data about the physical world (environmental measurements, traffic, etc.) and …

    uiuc Repository record for Efficient data to decision pipelines for embedded and social sensing (opens in a new tab)

  4. On quantifying the quality of information in social sensing

    … humans play a critical role in the sensing or data collection process. Social sensing has emerged as a new paradigm for sensory data collection, which is motivated by the proliferation of mobile platforms equipped with a variety of sensors (e.g., GPS, camera, microphone, motion and etc.) in the …

    uiuc Repository record for On quantifying the quality of information in social sensing (opens in a new tab)