{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T02:57:01Z","timestamp":1763348221950,"version":"3.37.3"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51765006"],"award-info":[{"award-number":["51765006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2017GXNSFDA198012"],"award-info":[{"award-number":["2017GXNSFDA198012"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Project of Science and Technology of Guangxi","award":["AB17195046"],"award-info":[{"award-number":["AB17195046"]}]},{"name":"Guangxi Manufacturing Systems and Advanced Manufacturing Technology Key Laboratory Director Fund","award":["15-140-30S003"],"award-info":[{"award-number":["15-140-30S003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2960439","type":"journal-article","created":{"date-parts":[[2019,12,17]],"date-time":"2019-12-17T21:02:17Z","timestamp":1576616537000},"page":"183838-183846","source":"Crossref","is-referenced-by-count":26,"title":["Detection of Foreign Matter on High-Speed Train Underbody Based on Deep Learning"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7668-9399","authenticated-orcid":false,"given":"Deqiang","family":"He","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1327-2366","authenticated-orcid":false,"given":"Zikai","family":"Yao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2376-5896","authenticated-orcid":false,"given":"Zhou","family":"Jiang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4566-900X","authenticated-orcid":false,"given":"Yanjun","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9000-6358","authenticated-orcid":false,"given":"Jianxin","family":"Deng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8279-8076","authenticated-orcid":false,"given":"Weibin","family":"Xiang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.01.008"},{"key":"ref11","article-title":"Condition monitoring platform in railways based on IoT","author":"gulsah","year":"2018","journal-title":"Proc Int Conf Artif Intell Data Process"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2916330"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"68730","DOI":"10.1109\/ACCESS.2018.2879270","article-title":"Real-world railway traffic detection based on faster better network","volume":"6","author":"juan","year":"2018","journal-title":"IEEE Access"},{"key":"ref14","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref17","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","article-title":"Very deep convolutional networks for large-scale image recognition","author":"karen","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2008.08.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.02.044"},{"key":"ref6","first-page":"487","article-title":"Learning deep features for scene recognition using places database","author":"zhou","year":"2015","journal-title":"Proc 28th Annu Conf Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref8","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2918938"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6782803"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.08.009"},{"key":"ref20","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref21","first-page":"2818","article-title":"Rethinking the inception architecture for computer vision","author":"christian","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.09.116"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2014.42"},{"key":"ref25","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv 1603 04467"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08935228.pdf?arnumber=8935228","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T01:44:26Z","timestamp":1643247866000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8935228\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2960439","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}