{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T21:49:38Z","timestamp":1777844978555,"version":"3.51.4"},"reference-count":37,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2957272","type":"journal-article","created":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T20:49:06Z","timestamp":1575406146000},"page":"174641-174650","source":"Crossref","is-referenced-by-count":32,"title":["Self-Mixing Interferometric Signal Enhancement Using Generative Adversarial Network for Laser Metric Sensing Applications"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1403-0927","authenticated-orcid":false,"given":"Imran","family":"Ahmed","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6744-7371","authenticated-orcid":false,"given":"Usman","family":"Zabit","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2852-1751","authenticated-orcid":false,"given":"Ahmad","family":"Salman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"1","article-title":"Conditional generative adversarial nets for convolutional face generation","author":"gauthier","year":"2014","journal-title":"Proc Class Project Stanford CS231N Convolutional Neural Netw Vis Recognit"},{"key":"ref32","article-title":"Image-to-image translation with conditional adversarial networks","author":"isola","year":"2016","journal-title":"ArXiv 1611 07004"},{"key":"ref31","first-page":"1","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JQE.1980.1070479"},{"key":"ref37","first-page":"2226","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref35","article-title":"Least squares generative adversarial networks","author":"mao","year":"2016","journal-title":"arXiv 1611 04076"},{"key":"ref34","article-title":"SEGAN: Speech enhancement generative adversarial network","author":"pascual","year":"2017","journal-title":"arXiv 1703 09452"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2014.04.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/NUSOD.2016.7547080"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1364\/AO.55.000236"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1364\/OE.14.001044"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICSENS.2014.6985109"},{"key":"ref15","article-title":"Balanced detection for self-mixing interferometry to improve signal-to-noise ratio","volume":"10619","author":"zhao","year":"2018","journal-title":"Proc SPIE"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LPT.2019.2901274"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1117\/1.OE.55.10.104102"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2883475"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2014.2381494"},{"key":"ref28","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2758440"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1364\/AO.53.006954"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1364\/AOP.7.000570"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/FCS.2018.8597548"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/C-CODE.2017.7918966"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2626018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1364\/OE.24.008886"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LPT.2008.926569"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/lpor.201100002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISISS.2019.8739659"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1249\/1\/012020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1117\/12.915940"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/DELTA.2008.23"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WISP.2007.4447499"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2016.2599702"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1117\/12.865679"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1364\/AO.51.005318"},{"key":"ref25","article-title":"Detection of multimodal fringes for self-mixing-based vibration measurement","author":"zabit","year":"0","journal-title":"IEEE Trans Instrum Meas"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08920019.pdf?arnumber=8920019","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T09:09:20Z","timestamp":1643274560000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8920019\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2957272","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}