{"id":5283,"date":"2021-10-06T15:56:22","date_gmt":"2021-10-06T13:56:22","guid":{"rendered":"https:\/\/www.eledia.org\/eledia-unitn\/?post_type=news&p=5283"},"modified":"2021-10-08T11:13:25","modified_gmt":"2021-10-08T09:13:25","slug":"ml-in-electromagnetics-with-applications-to-biomedical-imaging-a-review-has-ranked-as-the-5th-most-popular-ieee-apm","status":"publish","type":"news","link":"https:\/\/www.eledia.org\/eledia-unitn\/news\/ml-in-electromagnetics-with-applications-to-biomedical-imaging-a-review-has-ranked-as-the-5th-most-popular-ieee-apm\/","title":{"rendered":"“ML in Electromagnetics With Applications to Biomedical Imaging: A Review” has ranked as the 5th most popular IEEE-APM"},"content":{"rendered":"\n
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The #ELEDIAResearchCenter<\/a> is pleased to announce that the paper “Machine Learning in Electromagnetics With Applications to Biomedical Imaging: A Review” has ranked as the 5th most popular IEEE-APM article of July 2021:<\/p>\n\n\n\n

M. Li, R. Guo, K. Zhang, Z. Lin, F. Yang, S. Xu, X. Chen, A. Massa, and A. Abubakar, “Machine learning in electromagnetics with applications to biomedical imaging: A review,” in IEEE Antennas and Propagation Magazine, vol. 63, no. 3, pp. 39-51, June 2021.<\/p>\n\n\n\n

The paper can be downloaded at the following link: https:\/\/lnkd.in\/diJFnt5f<\/a><\/p>\n\n\n\n

—
#IEEE<\/a>#IEEEAPM<\/a>#mostpopular<\/a>#machinelearning<\/a>#ML<\/a>#electromagnetics<\/a>#applications<\/a>#biomedical<\/a>#imaging<\/a>#UniTN<\/a>#ELEDIA<\/a>#UniTSINGHUA<\/a>#NationalUniversityofSingapore<\/a>#Schlumberger<\/a>Universit\u00e0 di Trento<\/a>Tsinghua University<\/a><\/p>\n","protected":false},"author":1,"featured_media":5284,"template":"","format":"standard","meta":{"footnotes":""},"tags":[],"news_status":[],"news_topic":[91],"class_list":["post","post-type","post-5283","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\/5283","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":4,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/5283\/revisions"}],"predecessor-version":[{"id":5333,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news\/5283\/revisions\/5333"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media\/5284"}],"wp:attachment":[{"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/media?parent=5283"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/tags?post=5283"},{"taxonomy":"news_status","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_status?post=5283"},{"taxonomy":"news_topic","embeddable":true,"href":"https:\/\/www.eledia.org\/eledia-unitn\/wp-json\/wp\/v2\/news_topic?post=5283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}