{"id":9012,"date":"2021-09-01T13:43:34","date_gmt":"2021-09-01T18:43:34","guid":{"rendered":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/?p=9012"},"modified":"2026-02-18T11:29:34","modified_gmt":"2026-02-18T16:29:34","slug":"fdi-correction-physics-based-model-accepted-to-applied-sciences","status":"publish","type":"post","link":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/2021\/09\/01\/fdi-correction-physics-based-model-accepted-to-applied-sciences\/","title":{"rendered":"FDI Correction Physics-Based Model accepted to Applied Sciences!"},"content":{"rendered":"<p>Congratulations to our labmates and collaborators: Tierui Zou, Nader Aljohani, Keerthiraj Nagaraj, <strong>Sheng<\/strong> <strong>Zou, <\/strong>Cody Ruben, Arturo Bretas, <strong>Alina<\/strong> <strong>Zare<\/strong> and Janise McNair! Their paper, <strong>&#8220;A Network Parameter Database False Data Injection Correction Physics-Based Model: A Machine Learning Synthetic Measurement-Based Approach &#8220;,<\/strong> was recently accepted to <strong><em>Applied Sciences. <\/em><\/strong>In the paper, the authors present an overdetermined physics-based parameter false data injection correction model.<\/p>\n<p>Check out the paper and key results <a href=\"https:\/\/www.mdpi.com\/1252288\">here!<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Congratulations to our labmates and collaborators: Tierui Zou, Nader Aljohani, Keerthiraj Nagaraj, Sheng Zou, Cody Ruben, Arturo Bretas, Alina Zare and Janise McNair! Their paper, &#8220;A Network Parameter Database False Data Injection Correction Physics-Based Model: A Machine Learning Synthetic Measurement-Based Approach &#8220;, was recently accepted to Applied Sciences. In the paper, the authors present an [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-templates\/single-sidebar-none.php","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[9],"tags":[199,215,297,469,541],"class_list":["post-9012","post","type-post","status-publish","format-standard","hentry","category-news","tag-cyberphysical-security","tag-database-of-the-network-parameters","tag-false-data-injection","tag-monitoring-systems","tag-parameter-cyber-attack-correction"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/9012","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/comments?post=9012"}],"version-history":[{"count":1,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/9012\/revisions"}],"predecessor-version":[{"id":15097,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/9012\/revisions\/15097"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/media?parent=9012"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/categories?post=9012"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/tags?post=9012"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}