<?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>Conference Paper</dc:product_type><dc:title>Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction</dc:title><dc:creator>Kalanat, Nasrin; Xie, Yiqun; Li, Yanhua; Jia, Xiaowei</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher>the 2024 SIAM International Conference on Data Mining (SDM)</dc:publisher><dc:date>2024-04-22</dc:date><dc:nsf_par_id>10507141</dc:nsf_par_id><dc:journal_name/><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>598-606</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/</dc:doi><dcq:identifierAwardId>1942680; 1952085</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location>Houston, TX</dc:location><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>