{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T14:46:44Z","timestamp":1776955604442,"version":"3.51.4"},"reference-count":22,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571395"],"award-info":[{"award-number":["61571395"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2927160","type":"journal-article","created":{"date-parts":[[2019,7,10]],"date-time":"2019-07-10T20:08:57Z","timestamp":1562789337000},"page":"93772-93780","source":"Crossref","is-referenced-by-count":18,"title":["EMI Radiation Prediction and Structure Optimization of Packages by Deep Learning"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9744-1982","authenticated-orcid":false,"given":"Hang","family":"Jin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanzhi","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark D.","family":"Butala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"En-Xiao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Er-Ping","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2508940"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2006.885902"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2015.2495360"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2842159"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2900076"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref16","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2737825"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TEMC.2017.2784833"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/EMCSI.2018.8495333"},{"key":"ref4","first-page":"706","article-title":"A radiation prediction method based on partial element equivalent circuit","author":"hsu","year":"2016","journal-title":"Proc Asia&#x2013;Pacific Symp Electromagn Compat"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TEMC.2017.2765689"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TEMC.2012.2215874"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TEMC.2015.2414174"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1109\/TCPMT.2015.2506265","article-title":"Modeling and quantification for electromagnetic radiation of power-bus structure with multilayer printed circuit board","volume":"6","author":"wen","year":"2016","journal-title":"IEEE Trans Compon Packag Manuf Technol"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/EMCEurope.2018.8485100"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2015.2419231"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2003.820899"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TADVP.2004.828817"},{"key":"ref20","author":"larson","year":"2011","journal-title":"Elementary Statistics Picturing the World"},{"key":"ref22","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv 1603 04467"},{"key":"ref21","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc Int Conf Mach Learn"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08758619.pdf?arnumber=8758619","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:40:09Z","timestamp":1628624409000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8758619\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2927160","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}