April 17, 2024 Software Open Access

Hessenkemper, Hendrik; Wang, Lantian; Lucas, Dirk; Shiyong, Tan; Rui, Ni; Ma, Tian

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  <identifier identifierType="DOI">10.14278/rodare.3419</identifier>
  <creators>
    <creator>
      <creatorName>Hessenkemper, Hendrik</creatorName>
      <givenName>Hendrik</givenName>
      <familyName>Hessenkemper</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2588-694X</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Wang, Lantian</creatorName>
      <givenName>Lantian</givenName>
      <familyName>Wang</familyName>
    </creator>
    <creator>
      <creatorName>Lucas, Dirk</creatorName>
      <givenName>Dirk</givenName>
      <familyName>Lucas</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0463-2278</nameIdentifier>
    </creator>
    <creator>
      <creatorName>Shiyong, Tan</creatorName>
      <givenName>Tan</givenName>
      <familyName>Shiyong</familyName>
      <affiliation>Johns Hopkins University, Department of Mechanical Engineering, Baltimore</affiliation>
    </creator>
    <creator>
      <creatorName>Rui, Ni</creatorName>
      <givenName>Ni</givenName>
      <familyName>Rui</familyName>
      <affiliation>Johns Hopkins University, Department of Mechanical Engineering, Baltimore</affiliation>
    </creator>
    <creator>
      <creatorName>Ma, Tian</creatorName>
      <givenName>Tian</givenName>
      <familyName>Ma</familyName>
    </creator>
  </creators>
  <titles>
    <title>Software publication: 3D detection and tracking of deformable bubbles in swarms with the aid of deep learning models</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>3D Lagrangian bubble tracking</subject>
    <subject>Bubble swarms</subject>
    <subject>Deformable bubbles</subject>
    <subject>Deep learning</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2024-04-17</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/3419</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsReferencedBy">10.1016/j.ijmultiphaseflow.2024.104932</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-38982</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-38980</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsReferencedBy">https://www.hzdr.de/publications/Publ-40163</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.2810</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/energy</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/fwd</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This package contains the software and the trained models described in the publication &amp;quot;&lt;a href="https://www.sciencedirect.com/science/article/pii/S030193222400209X"&gt;3D detection and tracking of deformable bubbles in swarms with the aid of deep learning models&lt;/a&gt;&amp;quot;. Please refer to the README.md for installation instructions and to the Tracking3D_demo.ipynb for usage demonstration.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Update&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Minor bug fixes.&lt;/p&gt;

&lt;p&gt;The code now also provides the option for extended tracking using temporal information from 2D tracks.&lt;/p&gt;</description>
  </descriptions>
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