<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Heterogeneous sensor data fusion for multiscale, shape agnostic flaw detection in laser powder bed fusion additive manufacturing</dc:title><dc:creator>Bevans, Benjamin; Barrett, Christopher; Spears, Thomas; Gaikwad, Aniruddha; Riensche, Alex; Smoqi, Ziyad; Halliday, Harold (Scott); Rao, Prahalada</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher/><dc:date>2023-12-31</dc:date><dc:nsf_par_id>10407284</dc:nsf_par_id><dc:journal_name>Virtual and Physical Prototyping</dc:journal_name><dc:journal_volume>18</dc:journal_volume><dc:journal_issue>1</dc:journal_issue><dc:page_range_or_elocation/><dc:issn>1745-2759</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1080/17452759.2023.2196266</dc:doi><dcq:identifierAwardId>2309483; 1752069; 2020246; 2044710; 1920245</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>