{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T05:12:14Z","timestamp":1782623534050,"version":"3.54.5"},"reference-count":25,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2019YFB1405000"],"award-info":[{"award-number":["2019YFB1405000"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61873309"],"award-info":[{"award-number":["61873309"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92046024"],"award-info":[{"award-number":["92046024"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92146002"],"award-info":[{"award-number":["92146002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Science and Technology Innovation Action Plan Project","award":["19510710500"],"award-info":[{"award-number":["19510710500"]}]},{"name":"Shanghai Science and Technology Innovation Action Plan Project","award":["18510732000"],"award-info":[{"award-number":["18510732000"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tii.2022.3164087","type":"journal-article","created":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T20:03:17Z","timestamp":1648843397000},"page":"9027-9036","source":"Crossref","is-referenced-by-count":149,"title":["Improved LSTM-Based Time-Series Anomaly Detection in Rail Transit Operation Environments"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8337-2472","authenticated-orcid":false,"given":"Yujie","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1108-0248","authenticated-orcid":false,"given":"Xin","family":"Du","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5706-7503","authenticated-orcid":false,"given":"Zhihui","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7832-1937","authenticated-orcid":false,"given":"Qiang","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Information Sciences and Technology, Pennsylvania State University, Abington, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Deep learning for anomaly detection","author":"chalapathy","year":"2019","journal-title":"CoRR"},{"key":"ref11","article-title":"Time series anomaly detection; detection of anomalous drops with limited features and sparse examples in noisy highly periodic data","author":"shipmon","year":"2017","journal-title":"CoRR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-46145-0_17"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00318"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3487075.3487133"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2868490"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00223"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2019.8833427"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/app11199290"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA53316.2021.9564181"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3058599"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2996235"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330680"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/610"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2019.2914881"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SERA.2018.8477230"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CACIDI.2018.8584347"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2689040"},{"key":"ref20","first-page":"757","article-title":"Explainable intelligence-driven defense mechanism against advanced persistent threats: A joint edge game and AI approach","volume":"19","author":"li","year":"2022","journal-title":"IEEE Trans Dependable Secure Comput"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.04.070"},{"key":"ref24","first-page":"1","article-title":"A novel technique for long-term anomaly detection in the cloud","author":"vallis","year":"0","journal-title":"Proc 6th USENIX Workshop Hot Topics Cloud Comput"},{"key":"ref23","first-page":"2712","article-title":"Robust random cut forest based anomaly detection on streams","author":"guha","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref25","first-page":"1","article-title":"Sparse neural networks for anomaly detection in high-dimensional time series","author":"gugulothu","year":"0","journal-title":"Proc Int Conf Mach Learn Joint Artif Intell Eur"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/9906876\/09748023.pdf?arnumber=9748023","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T01:07:38Z","timestamp":1667524058000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9748023\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":25,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tii.2022.3164087","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}