{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:36:06Z","timestamp":1761845766413,"version":"build-2065373602"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,29]]},"DOI":"10.1109\/sensors56945.2023.10324866","type":"proceedings-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T14:02:53Z","timestamp":1701180173000},"page":"1-4","source":"Crossref","is-referenced-by-count":3,"title":["Data Augmentation for Fault Classification of Railway Track Irregularities in Track-Vehicle Scale Model"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5625-5123","authenticated-orcid":false,"given":"Euiyoul","family":"Kim","sequence":"first","affiliation":[{"name":"Institute of Railway and Transportation Engineering, University of Stuttgart,Stuttgart,Germany,70569"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6168-953X","authenticated-orcid":false,"given":"H\u00e9ctor A.","family":"Fern\u00e1ndez-Bobadilla","sequence":"additional","affiliation":[{"name":"Institute of Railway and Transportation Engineering, University of Stuttgart,Stuttgart,Germany,70569"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyue","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Railway and Transportation Engineering, University of Stuttgart,Stuttgart,Germany,70569"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"76","article-title":"In-service condition monitoring of rail tracks","volume":"70","author":"Baasch","year":"2018","journal-title":"lnternationales Verkehrswesen"},{"key":"ref2","first-page":"358","article-title":"Improved Railway Track Irregulari-ties Classification by a Model Inversion Approach","volume-title":"Third European Conference of the Prognostics and Health Management Society 2016","author":"Schenkendorf"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2023.3243673"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/0954409720906649"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.06.041"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app9132734"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-32-9283-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-2039-1_5"},{"key":"ref9","first-page":"70","article-title":"Convolutional Neural Network for the Early Determination of Local Instabilities","volume-title":"the 3rd International Railway Symposium Aachen (IRSA 2021)","author":"Bahamon-Blanco"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2495\/CMEM-V8-N3-270-280"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/00423110412331300336"},{"issue":"12","key":"ref12","first-page":"1787","article-title":"Scaling Strategy of a New Experimental Rig for Wheel-Rail Contact","volume":"8","author":"Naeimi","year":"2014","journal-title":"International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892876"},{"key":"ref14","article-title":"Conditional GAN for timeseries generation","author":"Smith","year":"2020","journal-title":"arXiv preprint"},{"key":"ref15","article-title":"Generative adversarial nets","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.piutam.2015.01.004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1115\/1.2894143"},{"key":"ref18","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv preprint"},{"key":"ref19","first-page":"214","article-title":"Wasserstein generative ad-versarial networks","volume-title":"International Conference on Machine Learning","author":"Arjovsky"},{"key":"ref20","article-title":"Improved Training of Wasserstein GAN s","author":"Gulrajani","year":"2017","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2020.00015"}],"event":{"name":"2023 IEEE SENSORS","start":{"date-parts":[[2023,10,29]]},"location":"Vienna, Austria","end":{"date-parts":[[2023,11,1]]}},"container-title":["2023 IEEE SENSORS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10324456\/10324848\/10324866.pdf?arnumber=10324866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T17:05:23Z","timestamp":1761066323000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10324866\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,29]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/sensors56945.2023.10324866","relation":{},"subject":[],"published":{"date-parts":[[2023,10,29]]}}}