{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T16:24:14Z","timestamp":1781713454079,"version":"3.54.5"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020A1515110703"],"award-info":[{"award-number":["2020A1515110703"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020A1515110146"],"award-info":[{"award-number":["2020A1515110146"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3118687","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T22:57:43Z","timestamp":1633906663000},"page":"138608-138617","source":"Crossref","is-referenced-by-count":7,"title":["A Deep Transfer Learning Model for Packaged Integrated Circuit Failure Detection by Terahertz Imaging"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2962-5886","authenticated-orcid":false,"given":"Yao","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5914-2466","authenticated-orcid":false,"given":"Qi","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingbo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"563","article-title":"Terahertz and laser imaging for printed circuit board failure detection","volume-title":"Proc. AUTOTESTCON","author":"Keenan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/0960-1317\/25\/9\/095007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCAPT.2002.1010010"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ndteint.2007.10.013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/APS.2015.7305039"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ndteint.2007.05.002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1364\/OL.20.001716"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1364\/OL.28.002058"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1364\/OPEX.13.000115"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ECTC.2010.5490646"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1364\/OE.19.012509"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-matsci-071312-121656"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2017.07.007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-1117-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.05.024"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1177\/1475921718757405"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1364\/OE.384146"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/72.554195"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tnn.2010.2066286"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2012.6288864"},{"key":"ref22","first-page":"5","article-title":"Deep learning for NLP (without magic)","volume-title":"Proc. Tutorial Abstracts ACL","author":"Socher"},{"key":"ref23","first-page":"3320","article-title":"How transferable are features in deep neural networks?","volume-title":"Proc. Adv. neural Inf. Process. Syst.","author":"Yosinski"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2864759"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref26","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Donahue"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.07.026"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref30","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1063\/1.2965810"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1364\/AO.53.007891"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1117\/12.900775"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10762-019-00609-w"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995521"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2917531"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.06.044"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TTHZ.2017.2750690"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref41","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"25","author":"Krizhevsky"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_00990"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/s18072327"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2019.02.029"},{"key":"ref45","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00150"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3005450"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/s21082852"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1364\/AOP.10.000843"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2020.106413"},{"key":"ref51","article-title":"The effectiveness of data augmentation in image classification using deep learning","author":"Perez","year":"2017","journal-title":"arXiv:1712.04621"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/OJEMB.2021.3066097"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.01.011"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref55","volume-title":"Deep Learning With Keras","author":"Gulli","year":"2017"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09564054.pdf?arnumber=9564054","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T01:45:54Z","timestamp":1706060754000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9564054\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3118687","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}