{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T06:42:32Z","timestamp":1781246552270,"version":"3.54.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000046","name":"National Research Council of Canada","doi-asserted-by":"publisher","award":["943411"],"award-info":[{"award-number":["943411"]}],"id":[{"id":"10.13039\/501100000046","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3300463","type":"journal-article","created":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T18:07:32Z","timestamp":1690913252000},"page":"1-12","source":"Crossref","is-referenced-by-count":18,"title":["A Multidimensional Data Fusion Neural Network for Damage Localization Using Ultrasonic Guided Wave"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4552-2913","authenticated-orcid":false,"given":"Hongguang","family":"Yun","sequence":"first","affiliation":[{"name":"Faculty of Applied Science, University of British Columbia&#x2014;Okanagan, Kelowna, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2338-5161","authenticated-orcid":false,"given":"Ke","family":"Feng","sequence":"additional","affiliation":[{"name":"Faculty of Applied Science, University of British Columbia&#x2014;Okanagan, Kelowna, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1512-4335","authenticated-orcid":false,"given":"Rakiba","family":"Rayhana","sequence":"additional","affiliation":[{"name":"Faculty of Applied Science, University of British Columbia&#x2014;Okanagan, Kelowna, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3271-5011","authenticated-orcid":false,"given":"Shashank","family":"Pant","sequence":"additional","affiliation":[{"name":"Aerospace Research Center, National Research Council of Canada, Ottawa, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6301-6235","authenticated-orcid":false,"given":"Marc","family":"Genest","sequence":"additional","affiliation":[{"name":"Aerospace Research Center, National Research Council of Canada, Ottawa, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7241-3483","authenticated-orcid":false,"given":"Zheng","family":"Liu","sequence":"additional","affiliation":[{"name":"Faculty of Applied Science, University of British Columbia&#x2014;Okanagan, Kelowna, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2996674"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s21175825"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.110155"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/met11020290"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3105537"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2973877"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref31","first-page":"4761","article-title":"The convergence rate of neural networks for learned functions of different frequencies","volume":"32","author":"ronen","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref30","volume":"48","author":"wainwright","year":"2019","journal-title":"High-dimensional statistics A non-asymptotic viewpoint"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/1475921720979352"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1117\/12.605757"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/0964-1726\/22\/3\/035012"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1177\/1475921718817169"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2007.09.006"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2775343"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultras.2014.12.005"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2023.3248968"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2022.3151397"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04179-3_6"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3033941"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000677"},{"key":"ref26","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref25","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref22","author":"berlinet","year":"2011","journal-title":"Reproducing Kernel Hilbert Spaces in Probability and Statistics"},{"key":"ref21","first-page":"5998","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","first-page":"8580","article-title":"Neural tangent kernel: Convergence and generalization in neural networks","author":"jacot","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst Annu Conf Neural Inf Process Syst (NeurIPS)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-60801-3_27"},{"key":"ref29","first-page":"8572","article-title":"Wide neural networks of any depth evolve as linear models under gradient descent","volume":"32","author":"lee","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","first-page":"5301","article-title":"On the spectral bias of neural networks","volume":"97","author":"rahaman","year":"2019","journal-title":"Proc 36th Int Conf Mach Learn"},{"key":"ref7","first-page":"7537","article-title":"Fourier features let networks learn high frequency functions in low dimensional domains","volume":"33","author":"tancik","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1088\/1361-665X\/ab6ce7"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/0964-1726\/16\/4\/032"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/0964-1726\/13\/4\/002"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.107107"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultras.2021.106451"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10198370.pdf?arnumber=10198370","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T18:00:25Z","timestamp":1693850425000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10198370\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3300463","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}