{"id":5923,"date":"2022-01-11T16:00:53","date_gmt":"2022-01-11T15:00:53","guid":{"rendered":"https:\/\/www.eledia.org\/eledia-unitn\/?post_type=news&#038;p=5923"},"modified":"2022-01-13T10:58:27","modified_gmt":"2022-01-13T09:58:27","slug":"an-effective-artificial-neural-network-based-method-for-linear-array-beampattern-synthesis-is-in-the-top-accessed-paper-of-the-month-of-october-2021-in-ieee-transactions-on-antennas-and-propa","status":"publish","type":"news","link":"https:\/\/www.eledia.org\/eledia-unitn\/news\/an-effective-artificial-neural-network-based-method-for-linear-array-beampattern-synthesis-is-in-the-top-accessed-paper-of-the-month-of-october-2021-in-ieee-transactions-on-antennas-and-propa\/","title":{"rendered":"&#8220;An Effective Artificial Neural Network-Based Method for Linear Array Beampattern Synthesis&#8221; is in the October top-accessed papers of IEEE T-AP"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/01\/1639814234692.jpeg\" alt=\"\" class=\"wp-image-5924\" width=\"500\" srcset=\"https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/01\/1639814234692.jpeg 800w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/01\/1639814234692-300x154.jpeg 300w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/01\/1639814234692-768x395.jpeg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure><\/div>\n\n\n\n<p>Our paper &#8220;An Effective Artificial Neural Network-Based Method for Linear Array Beampattern Synthesis&#8221; is in the top-accessed paper of the month of October 2021 in&nbsp;<a href=\"https:\/\/www.linkedin.com\/company\/ieee-tap\/\" target=\"_blank\" rel=\"noreferrer noopener\">IEEE Transactions on Antennas and Propagation<\/a>!<\/p>\n\n\n\n<p>Read the full paper at:&nbsp;<a href=\"https:\/\/doi.org\/10.1109\/TAP.2021.3069467\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.1109\/TAP.2021.3069467<\/a><\/p>\n\n\n\n<p>&#8212;<br><a href=\"https:\/\/www.linkedin.com\/company\/ieee\/\" rel=\"noopener\"><a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=ieeeaps&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6879082305323962368\" rel=\"noopener\">#ieeeaps<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=ieeetap&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6879082305323962368\" rel=\"noopener\">#ieeetap<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/company\/ieee\/\" rel=\"noopener\">IEEE<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=antenna&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6879082305323962368\" rel=\"noopener\">#antenna<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=array&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6879082305323962368\" rel=\"noopener\">#array<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=ann&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6879082305323962368\" rel=\"noopener\">#ANN<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=machinelearning&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6879082305323962368\" rel=\"noopener\">#machinelearning<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=elediaresearchcenter&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6879082305323962368\" rel=\"noopener\">#ELEDIAResearchCenter<\/a><\/a><\/p>\n","protected":false},"author":1,"featured_media":5924,"template":"","format":"standard","meta":{"footnotes":""},"tags":[],"news_status":[],"news_topic":[91],"class_list":["post","post-type","post-5923","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry","news_topic-news-publications",""],"acf":[],"_links":{"self":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/5923","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/types\/news"}],"author":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":7,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/5923\/revisions"}],"predecessor-version":[{"id":6014,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/5923\/revisions\/6014"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media\/5924"}],"wp:attachment":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media?parent=5923"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/tags?post=5923"},{"taxonomy":"news_status","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_status?post=5923"},{"taxonomy":"news_topic","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_topic?post=5923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}