{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T15:05:21Z","timestamp":1776697521199,"version":"3.51.2"},"reference-count":58,"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\/501100012017","name":"Noguchi Institute","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100012017","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100008674","name":"Yazaki Memorial Foundation for Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008674","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008965","name":"Takahashi Industrial and Economic Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008965","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["17H04930"],"award-info":[{"award-number":["17H04930"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["20J22160"],"award-info":[{"award-number":["20J22160"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["20K22417"],"award-info":[{"award-number":["20K22417"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["21H04555"],"award-info":[{"award-number":["21H04555"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008662","name":"Murata Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008662","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009427","name":"Telecommunications Advancement Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009427","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.2021.3110874","type":"journal-article","created":{"date-parts":[[2021,9,7]],"date-time":"2021-09-07T19:31:01Z","timestamp":1631043061000},"page":"124701-124710","source":"Crossref","is-referenced-by-count":12,"title":["Spatial Resolution Enhancement of Brillouin Optical Correlation-Domain Reflectometry Using Convolutional Neural Network: Proof of Concept"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2757-1255","authenticated-orcid":false,"given":"Jelah N.","family":"Caceres","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4976-9657","authenticated-orcid":false,"given":"Kohei","family":"Noda","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8112-4395","authenticated-orcid":false,"given":"Guangtao","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3179-0386","authenticated-orcid":false,"given":"Heeyoung","family":"Lee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2899-4484","authenticated-orcid":false,"given":"Kentaro","family":"Nakamura","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3362-4720","authenticated-orcid":false,"given":"Yosuke","family":"Mizuno","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299101"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2795531"},{"key":"ref33","first-page":"525","article-title":"XNOR-Net: ImageNet classification using binary convolutional neural networks","author":"rastegari","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2986035.2986042"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248110"},{"key":"ref30","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.353"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.349"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/UBMK.2017.8093521"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1364\/PRJ.389970"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.23919\/MOC.2017.8244569"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.229"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/50.32378"},{"key":"ref1","author":"agrawal","year":"2019","journal-title":"Nonlinear Fiber Optics"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1364\/OE.18.005926"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1364\/OE.24.006769"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.35848\/1882-0786\/aba151"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2017.2739421"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2919138"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1364\/OE.27.002530"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1364\/OFS.2018.WF29"},{"key":"ref50","first-page":"7694","article-title":"Understanding batch normalization","author":"bjorck","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1364\/OL.30.003129"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1002\/2017SW001669"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1057\/jors.2014.103"},{"key":"ref56","first-page":"43","article-title":"Measuring forecast accuracy: Some practical suggestions","volume":"38","author":"sanders","year":"1997","journal-title":"Prod Inventory Manage J"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"3493","DOI":"10.3390\/en11123493","article-title":"A deep neural network model for short-term load forecast based on long short-term memory network and convolutional neural network","volume":"11","author":"tian","year":"2018","journal-title":"Energies"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065718500351"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS.2018.8624183"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/DEPCOS-RELCOMEX.2006.38"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.7567\/JJAP.57.020303"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JPHOT.2016.2562512"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/FIT.2016.052"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/lsa.2016.184"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1049\/el.2019.0572"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.35848\/1882-0786\/ab827b"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1364\/OL.44.002097"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.7567\/1347-4065\/ab0784"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2010.2081348"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1364\/OL.13.000547"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1364\/OE.17.009040"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1364\/OL.21.001402"},{"key":"ref3","first-page":"382","article-title":"Brillouin optical-fiber time domain reflectometry","volume":"76","author":"kurashima","year":"1993","journal-title":"IEICE Trans Commun"},{"key":"ref6","first-page":"405","article-title":"Measurement of Brillouin gain spectrum distribution along an optical fiber using a correlation-based technique&#x2013;proposal, experiment and simulation","volume":"83","author":"hotate","year":"2000","journal-title":"IEICE Trans Electron"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1364\/OE.24.029994"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/50.566687"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1364\/OE.16.012148"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s13244-018-0639-9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LPT.2009.2013643"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2339736"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2019.03.001"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2018.2876909"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.620"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727207"},{"key":"ref44","first-page":"4898","article-title":"Understanding the effective receptive field in deep convolutional neural networks","author":"luo","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MECO.2017.7977207"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09530536.pdf?arnumber=9530536","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T04:46:21Z","timestamp":1643258781000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9530536\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3110874","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}