{"id":7083,"date":"2022-05-15T22:48:02","date_gmt":"2022-05-15T20:48:02","guid":{"rendered":"https:\/\/www.eledia.org\/eledia-unitn\/?post_type=news&#038;p=7083"},"modified":"2022-05-15T22:48:03","modified_gmt":"2022-05-15T20:48:03","slug":"from-spatial-urban-site-data-to-path-loss-prediction-an-ensemble-learning-approach-published-in-ieee-transactions-on-antennas-and-propagation","status":"publish","type":"news","link":"https:\/\/www.eledia.org\/eledia-unitn\/news\/from-spatial-urban-site-data-to-path-loss-prediction-an-ensemble-learning-approach-published-in-ieee-transactions-on-antennas-and-propagation\/","title":{"rendered":"&#8220;From Spatial Urban Site Data to Path Loss Prediction: An Ensemble Learning Approach&#8221; published in\u00a0IEEE Transactions on Antennas and Propagation"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/05\/FQ4qzleXsAA6yu8-1-1024x1024.jpg\" alt=\"\" class=\"wp-image-7085\" srcset=\"https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/05\/FQ4qzleXsAA6yu8-1-1024x1024.jpg 1024w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/05\/FQ4qzleXsAA6yu8-1-300x300.jpg 300w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/05\/FQ4qzleXsAA6yu8-1-150x150.jpg 150w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/05\/FQ4qzleXsAA6yu8-1-768x768.jpg 768w, https:\/\/www.eledia.org\/eledia-unitn\/wp-content\/uploads\/2022\/05\/FQ4qzleXsAA6yu8-1.jpg 1440w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>We are pleased to announce that our paper on a new two-level ensemble model using the concept of stacked generalization has been published on\u00a0IEEE Transactions on Antennas and Propagation:<br><br>S. P. Sotiroudis, A. D. Boursianis, S. K. Goudos and K. Siakavara, &#8220;From Spatial Urban Site Data to Path Loss Prediction: An Ensemble Learning Approach,&#8221; in\u00a0<a href=\"https:\/\/www.linkedin.com\/company\/ieee-tap\/\" rel=\"noopener\">IEEE Transactions on Antennas and Propagation<\/a>, doi: 10.1109\/TAP.2021.3138257.<br><br>The paper can be downloaded at the following link:\u00a0<a href=\"https:\/\/lnkd.in\/dFDgWMFG\" rel=\"noopener\">https:\/\/lnkd.in\/dFDgWMFG<\/a><br>&#8212;<br><a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=ieee&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6922962868338331648\" rel=\"noopener\">#ieee<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=eledia&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6922962868338331648\" rel=\"noopener\">#ELEDIA<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=ieeetap&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6922962868338331648\" rel=\"noopener\">#ieeetap<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=elediaresearch&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6922962868338331648\" rel=\"noopener\">#ELEDIAresearch<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=machinelearning&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6922962868338331648\" rel=\"noopener\">#machinelearning<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=transmitters&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6922962868338331648\" rel=\"noopener\">#transmitters<\/a>\u00a0<a href=\"https:\/\/www.linkedin.com\/feed\/hashtag\/?keywords=buildings&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6922962868338331648\" rel=\"noopener\">#buildings<\/a><\/figcaption><\/figure>\n","protected":false},"author":46,"featured_media":7084,"template":"","format":"standard","meta":{"footnotes":""},"tags":[],"news_status":[],"news_topic":[91,193],"class_list":["post","post-type","post-7083","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry","news_topic-news-publications","news_topic-news-web",""],"acf":[],"_links":{"self":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/7083","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\/46"}],"version-history":[{"count":2,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/7083\/revisions"}],"predecessor-version":[{"id":7087,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/7083\/revisions\/7087"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media\/7084"}],"wp:attachment":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media?parent=7083"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/tags?post=7083"},{"taxonomy":"news_status","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_status?post=7083"},{"taxonomy":"news_topic","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_topic?post=7083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}