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    <title>Geographical Information Systems Theory, Applications and Management</title>
    <subTitle>9th International Conference, GISTAM 2023, Prague, Czech Republic, April 25–27, 2023, Revised Selected Papers</subTitle>
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    <namePart>Grueau, Cédric.</namePart>
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    <namePart>Rodrigues, Armanda.</namePart>
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    <namePart>Ragia, Lemonia.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>IX, 115 p. 59 illus., 47 illus. in color. online resource.</extent>
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  <abstract>This book constitutes the refereed post-proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2023, held in Prague, Czech Republic during April 25–27, 2023. The 6 full papers included in this book were carefully reviewed and selected from 37 submissions. They focus on challenges in geo-spatial data sensing, observation, representation, processing, visualization, sharing and managing, in all aspects concerning both information communication and technologies (ICT) as well as management information systems and knowledge-based systems.</abstract>
  <tableOfContents> -- U-Nets and MultispectralI mages for Detecting the Surface Water of Rivers via SAR Images.  -- A Combination of Geomatic Techniques for Modelling the Urban Environment in Virtual Reality.  -- Dynamic Real-time Spatio-Temporal Acquisition and Rendering in Adverse Environments.  -- Approaches for Addressing Spatial Connectivity of Final Harvests within Forest Harvest Scheduling Algorithms.  -- An Open-Source Model for Estimating the Need to Expansion in Local Charging Infrastructures.  -- Emergency Management and Response through 3D Maps and Novel Geo-Information Sources.</tableOfContents>
  <note type="statement of responsibility">edited by Cédric Grueau, Armanda Rodrigues, Lemonia Ragia.</note>
  <subject authority="lcsh">
    <topic>Application software</topic>
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  <subject authority="lcsh">
    <topic>Database management</topic>
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  <subject authority="lcsh">
    <topic>Computer engineering</topic>
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  <subject authority="lcsh">
    <topic>Computer networks </topic>
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  <subject authority="lcsh">
    <topic>Coding theory</topic>
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  <subject authority="lcsh">
    <topic>Information theory</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject>
    <topic>Computer and Information Systems Applications</topic>
  </subject>
  <subject>
    <topic>Database Management</topic>
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  <subject>
    <topic>Computer Engineering and Networks</topic>
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  <subject>
    <topic>Coding and Information Theory</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
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  <classification authority="lcc">QA76.76.A65</classification>
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      <title>Communications in Computer and Information Science, 2107</title>
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  <identifier type="isbn">9783031602771</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-60277-1</identifier>
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