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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/891/Compressive-Geospatial-Analytics"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/891/Compressive-Geospatial-Analytics">
  <title><![CDATA[Compressive Geospatial Analytics]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/891/Compressive-Geospatial-Analytics</link>
  <description><![CDATA[Compressive sensing is a randomized data acquisition method that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling theorem, and outperforms traditional signal processing techniques through performing both sensing and size reduction tasks simultaneously. Edge-computing is a decentralization approach that provides several properties (specifically reducing the need for moving a large volume of data) via pushing the computation towards the edge of t...]]></description>
  <dc:date>2019-12-09</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/850/SAT-based-Compressive-Sensing">
  <title><![CDATA[SAT-based Compressive Sensing]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/850/SAT-based-Compressive-Sensing</link>
  <description><![CDATA[We propose to reduce the original well-posed problem of compressive sensing to weighted-MAX-SAT. Compressive sensing is a novel randomized data acquisition approach that linearly samples sparse or compressible signals at a rate much below the Nyquist-Shannon sampling rate. The original problem of compressive sensing in sparse recovery is NP-hard; therefore, in addition to restrictions for the uniqueness of the sparse solution, the coding matrix has also to satisfy additional stringent constra...]]></description>
  <dc:date>2019-03-06</dc:date>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/514/Service-Oriented-Atmospheric-Radiances-SOAR-Gridding-and-Analysis-Services-for-Multisensor-Aqua-IR-Radiance-Data-for-Climate-Studies">
  <title><![CDATA[Service-Oriented Atmospheric Radiances (SOAR): Gridding and Analysis Services for Multisensor Aqua IR Radiance Data for Climate Studies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/514/Service-Oriented-Atmospheric-Radiances-SOAR-Gridding-and-Analysis-Services-for-Multisensor-Aqua-IR-Radiance-Data-for-Climate-Studies</link>
  <description><![CDATA[The Aqua spacecraft, launched on May 4, 2002, carries two well-calibrated independent infrared (IR) grating spectrometers Atmospheric Infrared Sounder (AIRS) and Moderate Resolution Imaging Spectrometer (MODIS), which have been continuously returning upwelling IR spectral radiance measurements for over five years. Based on an Aqua Sr. Project Review, estimates of available flight fuel, power, and orbital projections assess the life span of the Aqua satellite, and these two instruments, to be ...]]></description>
  <dc:date>2009-01-01</dc:date>
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  <title><![CDATA[Scalable semantic analytics on social networks for addressing the problem of conflict of interest detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/386/Scalable-semantic-analytics-on-social-networks-for-addressing-the-problem-of-conflict-of-interest-detection</link>
  <description><![CDATA[In this article, we demonstrate the applicability of semantic techniques for detection of Conflict of Interest (COI). We explain the common challenges involved in building scalable Semantic Web applications, in particular those addressing connecting-the-dots problems. We describe in detail the challenges involved in two important aspects on building Semantic Web applications, namely, data acquisition and entity disambiguation (or reference reconciliation). We extend upon our previous work, wh...]]></description>
  <dc:date>2008-02-01</dc:date>
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