{"id":369,"date":"2024-03-11T11:10:09","date_gmt":"2024-03-11T10:10:09","guid":{"rendered":"https:\/\/ecoswarm.edu.rs\/?p=369"},"modified":"2024-03-11T11:17:58","modified_gmt":"2024-03-11T10:17:58","slug":"published-paper-in-journal-scientific-reports","status":"publish","type":"post","link":"https:\/\/ecoswarm.edu.rs\/index.php\/2024\/03\/11\/published-paper-in-journal-scientific-reports\/","title":{"rendered":"Published paper in journal Scientific Reports!"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Paper &#8220;<a href=\"https:\/\/www.nature.com\/articles\/s41598-024-54680-y\" target=\"_blank\" rel=\"noreferrer noopener\">Tuning attention based long-short term memory neural networks for Parkinson\u2019s disease detection using modified metaheuristics<\/a>&#8221; by A. \u0106uk, T. Bezdan, L. Jovanovi\u0107, M. Antonijevi\u0107, M. S. Stankovi\u0107, V. Simi\u0107, M. \u017divkovi\u0107 &amp; N. Ba\u010danin had been published in journal Scientific Reports.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The paper studies the potential of utilizing long-short term memory neural networks (LSTM) with attention mechanisms to detect Parkinson\u2019s disease based on dual-task walking test data. Given that the performance of neural networks is significantly inductance by architecture and training parameter choices, a modified version of the recently introduced crayfish optimization algorithm (COA) was proposed, specifically tailored to the requirements of this investigation. The proposed optimizer is assessed on a publicly accessible real-world clinical gait in Parkinson\u2019s disease dataset, and the results demonstrate its promise, achieving an accuracy of 87.4187 % for the best-constructed models.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Paper &#8220;Tuning attention based long-short term memory neural networks for Parkinson\u2019s disease detection using modified metaheuristics&#8221; by A. \u0106uk, T. Bezdan, L. Jovanovi\u0107, M. Antonijevi\u0107, M. S. Stankovi\u0107, V. Simi\u0107, M. \u017divkovi\u0107 &amp; N. Ba\u010danin had been published in journal Scientific Reports. The paper studies the potential of utilizing long-short term memory neural networks (LSTM) [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-369","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/posts\/369","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/comments?post=369"}],"version-history":[{"count":2,"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/posts\/369\/revisions"}],"predecessor-version":[{"id":373,"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/posts\/369\/revisions\/373"}],"wp:attachment":[{"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/media?parent=369"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/categories?post=369"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ecoswarm.edu.rs\/index.php\/wp-json\/wp\/v2\/tags?post=369"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}