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Conference Paper/Proceeding/Abstract 555 views

An optimum framework for entities tracking in populations

Pavel Loskot Orcid Logo

Pages: 602 - 605

Swansea University Author: Pavel Loskot Orcid Logo

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DOI (Published version): 10.1109/ISCCSP.2014.6877947

Published: 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa21292
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title An optimum framework for entities tracking in populations
spellingShingle An optimum framework for entities tracking in populations
Pavel Loskot
title_short An optimum framework for entities tracking in populations
title_full An optimum framework for entities tracking in populations
title_fullStr An optimum framework for entities tracking in populations
title_full_unstemmed An optimum framework for entities tracking in populations
title_sort An optimum framework for entities tracking in populations
author_id_str_mv bc7cba9ef306864239b9348c3aea4c3e
author_id_fullname_str_mv bc7cba9ef306864239b9348c3aea4c3e_***_Pavel Loskot
author Pavel Loskot
author2 Pavel Loskot
format Conference Paper/Proceeding/Abstract
container_start_page 602
publishDate 2014
institution Swansea University
doi_str_mv 10.1109/ISCCSP.2014.6877947
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
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published_date 2014-12-31T06:39:35Z
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