{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T23:14:30Z","timestamp":1784675670894,"version":"3.55.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2021YFF0501101"],"award-info":[{"award-number":["2021YFF0501101"]}]},{"name":"National Science Fund of China","award":["52272347"],"award-info":[{"award-number":["52272347"]}]},{"name":"National Science Fund of China","award":["52172403"],"award-info":[{"award-number":["52172403"]}]},{"name":"National Science Fund of China","award":["62173137"],"award-info":[{"award-number":["62173137"]}]},{"name":"National Science Fund of Hunan","award":["2021JJ30217"],"award-info":[{"award-number":["2021JJ30217"]}]},{"name":"Postgraduate Research and Innovation Project of Hunan University of Technology","award":["CX2316"],"award-info":[{"award-number":["CX2316"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/tvt.2024.3351763","type":"journal-article","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T20:21:27Z","timestamp":1704831687000},"page":"7561-7575","source":"Crossref","is-referenced-by-count":17,"title":["Prediction of Remaining Useful Life of Railway Tracks Based on DMGDCC-GRU Hybrid Model and Transfer Learning"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1694-0975","authenticated-orcid":false,"given":"Jianhua","family":"Liu","sequence":"first","affiliation":[{"name":"College of Railway Transportation, Hunan University of Technology, Hunan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8418-6757","authenticated-orcid":false,"given":"Dongchen","family":"Du","sequence":"additional","affiliation":[{"name":"College of Railway Transportation, Hunan University of Technology, Hunan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3650-3270","authenticated-orcid":false,"given":"Jing","family":"He","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University of Technology, Hunan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9800-3984","authenticated-orcid":false,"given":"Changfan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University of Technology, Hunan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2023.3250766"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3253895"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2019.2955558"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2914235"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.wear.2021.203643"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.wear.2020.203457"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3134312"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3203013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.108263"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3250963"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3057030"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3143881"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s12525-021-00475-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2021.100379"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.05.050"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3202832"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3124127"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3249224"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3071622"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3086906"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2022.3192526"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2023.3319377"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3019893"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.109072"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108487"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3176603"},{"key":"ref27","first-page":"41","article-title":"Steel rail","year":"2019","journal-title":"Rules for Repair of Common Speed Railway Lines"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.joule.2019.11.018"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00794"},{"key":"ref30","first-page":"1307","article-title":"Condconv: Conditionally parameterized convolutions for efficient inference","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00759"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2012.6299548"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2336616"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2006.886368"},{"key":"ref36","first-page":"1","article-title":"PRONOSTIA: An experimental platform for bearings accelerated degradation tests","volume-title":"Proc. IEEE Int. Conf. Prognostics Health Manage.","author":"Nectoux"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref38","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.112327"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2021.100378"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105843"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2021.07.008"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/10564808\/10384818.pdf?arnumber=10384818","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T19:47:33Z","timestamp":1736970453000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10384818\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":42,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2024.3351763","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}