{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T05:26:43Z","timestamp":1782538003505,"version":"3.54.5"},"reference-count":176,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000780","name":"Shift2Rail Joint Undertaking","doi-asserted-by":"publisher","award":["No 881782"],"award-info":[{"award-number":["No 881782"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"name":"RAILS (Roadmaps for Artificial Intelligence"},{"name":"European Union\u2019s Horizon 2020 research and innovation programme and the Shift2Rail JU members other than the Union"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3183102","type":"journal-article","created":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T20:17:45Z","timestamp":1655237865000},"page":"65376-65400","source":"Crossref","is-referenced-by-count":40,"title":["A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4484-6318","authenticated-orcid":false,"given":"Lorenzo De","family":"Donato","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2833-7196","authenticated-orcid":false,"given":"Francesco","family":"Flammini","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Media Technology, Linnaeus University, V&#x00E4;xj&#x00F6;, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6852-0377","authenticated-orcid":false,"given":"Stefano","family":"Marrone","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9864-4610","authenticated-orcid":false,"given":"Claudio","family":"Mazzariello","sequence":"additional","affiliation":[{"name":"Digital and Data Driven Innovation Unit, Hitachi Rail STS, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4938-9216","authenticated-orcid":false,"given":"Roberto","family":"Nardone","sequence":"additional","affiliation":[{"name":"Department of Engineering, University of Naples &#x201C;Parthenope&#x201D;, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8176-6950","authenticated-orcid":false,"given":"Carlo","family":"Sansone","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Valeria","family":"Vittorini","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1784\/insi.2006.48.1.10"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s20216387"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.wear.2010.10.054"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2961686"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2020.06.217"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103679"},{"key":"ref7","volume-title":"Intelligent Innovative Smart Maintenance of Assets by IntegRated Technologies (IN2SMART)","year":"2022"},{"key":"ref8","volume-title":"Intelligent Innovative Smart Maintenance of Assets by integRated Technologies 2 (IN2SMART2)","year":"2022"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSC.2009.5289385"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0316-z"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/01441647.2015.1065456"},{"key":"ref12","first-page":"1","article-title":"Procedures for performing systematic reviews","volume":"33","author":"Kitchenham","year":"2004"},{"key":"ref13","volume-title":"Roadmaps for AI Integration in the Rail Sector (RAILS)","year":"2022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-18744-6_6"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/geosciences10110425"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2019.106024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2047662"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2950985"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0954409720941726"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/tse\/tdz007"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3388818.3388827"},{"key":"ref22","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref23","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"arXiv:1409.1556","author":"Simonyan","year":"2014"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref27","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"arXiv:1506.01497","author":"Ren","year":"2015"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref31","article-title":"YOLOv3: An incremental improvement","volume-title":"arXiv:1804.02767","author":"Redmon","year":"2018"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952132"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1115\/JRC2020-8037"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/stc.2504"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/MCSI.2018.00019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.23919\/CCC50068.2020.9188823"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1177\/1475921720922797"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.12.057"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-14249-4_64"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/IDAP.2017.8090245"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3906\/elk-1704-214"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICIoT48696.2020.9089560"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/VPPC46532.2019.8952236"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICIRT.2018.8641608"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/WCICA.2018.8630525"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2984264"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CAC.2018.8623082"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ITOEC49072.2020.9141787"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3007603"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/AIEA51086.2020.00179"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3045196"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1177\/1475921720976941"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1115\/SMASIS2018-8223"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.23919\/ICACT.2018.8323642"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1117\/12.2557212"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1049\/iet-est.2020.0041"},{"key":"ref59","article-title":"Computer vision for rail surface defect detection","volume-title":"Proc. 16th Int. Conf. Condition Monit. Asset Manage. (CM)","author":"Heyns"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3085848"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12710"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107706"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC.2017.7969693"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05366-9"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ECICE47484.2019.8942769"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-2914-6_65"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.01.008"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1080\/23248378.2020.1825128"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.18494\/SAM.2020.2921"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1117\/12.2557231"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8823050"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CTS48763.2019.8973367"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2012.2184959"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2761858"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1533\/9781782422433.2.497"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12316"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.5772\/intechopen.81159"},{"key":"ref78","article-title":"Least squares generative adversarial networks","volume-title":"arXiv:1611.04076","author":"Mao","year":"2016"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1177\/1475921717742339"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.12989\/sss.2016.18.5.1063"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/aa670d"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_45"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3004397"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01476-x"},{"key":"ref85","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5 MB model size","volume-title":"arXiv:1602.07360","author":"Iandola","year":"2016"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-018-1588-5"},{"key":"ref88","article-title":"Effective LSTMs for target-dependent sentiment classification","volume-title":"arXiv:1512.01100","author":"Tang","year":"2015"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.16"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.127"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952261"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12433"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2868490"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1117\/12.2572918"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3038008"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2955753"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2775345"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3006324"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2018.8615868"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-2914-6_66"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3020287"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC.2019.8827162"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2954757"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2987503"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1142\/S0218194020400136"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917061"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-021-02080-y"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3105419"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2941292"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC.2018.8409637"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2774242"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI44817.2019.9003108"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/ICUAS48674.2020.9213972"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMD50554.2020.9261650"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2900385"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2019.8832401"},{"key":"ref119","first-page":"904","article-title":"Deep learning based arc detection in pantograph-catenary systems","volume-title":"Proc. 10th Int. Conf. Elect. Electron. Eng.","author":"Karaduman"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2955707"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/OGC.2018.8529985"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3042535"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/CMD48350.2020.9287274"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2920721"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2019.2938684"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-2914-6_64"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1145\/3381271.3381293"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06280-4"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3000506"},{"key":"ref130","first-page":"5","article-title":"The PASCAL visual object classes challenge 2012 (VOC2012) development kit","volume":"8","author":"Everingham","year":"2011","journal-title":"Pattern Anal., Stat. Model. Comput. Learn."},{"key":"ref131","article-title":"The PASCAL visual object classes challenge 2007 (VOC2007) results","author":"Everingham","year":"2007"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.07.017"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1631\/jzus.A1900341"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2568758"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref137","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Jaderberg"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/IMCEC51613.2021.9482386"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451188"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2955799"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2954124"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2900056"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.23919\/CCC50068.2020.9189069"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3034239"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-021-01274-z"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3056554"},{"issue":"3","key":"ref147","first-page":"2166","article-title":"YOLO v2 with bifold skip: A deep learning model for video based real time train bogie part identification and defect detection","volume":"16","author":"Mohan","year":"2021","journal-title":"J. Eng. Sci. Technol."},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1117\/12.2246551"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2019.00120"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3009654"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917062"},{"key":"ref152","article-title":"Hierarchical feature matching of fault images in TFDS based on improved Markov random field and exact height function","author":"Zhang","year":"2017"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1117\/1.OE.57.5.053114"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1016\/j.apsusc.2013.09.002"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1109\/WiSPNET.2016.7566431"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1016\/j.tust.2018.04.002"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12367"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2916330"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.3390\/s20174945"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2020.101206"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/ITOEC49072.2020.9141789"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1109\/ICSP48669.2020.9320922"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_6"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1109\/RCAE51546.2020.9294343"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533052"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2910595"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966101"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2552248"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01247-4"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1016\/j.engstruct.2020.111347"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.02.050"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41184-7_73"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1109\/ESARS-ITEC.2016.7841398"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09795283.pdf?arnumber=9795283","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,16]],"date-time":"2024-02-16T19:06:11Z","timestamp":1708110371000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9795283\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":176,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3183102","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}