{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T11:08:14Z","timestamp":1778152094413,"version":"3.51.4"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306212"],"award-info":[{"award-number":["62306212"]}],"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":["62020106004"],"award-info":[{"award-number":["62020106004"]}],"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":["62272342"],"award-info":[{"award-number":["62272342"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tits.2023.3315674","type":"journal-article","created":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T17:51:31Z","timestamp":1696528291000},"page":"15907-15919","source":"Crossref","is-referenced-by-count":19,"title":["A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5336-7952","authenticated-orcid":false,"given":"Xu","family":"Cheng","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6005-1585","authenticated-orcid":false,"given":"Kexin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5133-6688","authenticated-orcid":false,"given":"Xiufeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Technology, Management, and Economics, Technical University of Denmark, Kongens Lyngby, Denmark"}]},{"given":"Qian","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, Ålesund, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2074-0228","authenticated-orcid":false,"given":"Fan","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}]},{"given":"Zhengru","family":"Ren","sequence":"additional","affiliation":[{"name":"Institute for Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6705-3831","authenticated-orcid":false,"given":"Shengyong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolind.2021.107688"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3129916"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/9781119994138"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561261"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.marstruc.2020.102904"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.marstruc.2022.103274"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2022.111020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.marstruc.2018.03.011"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.apor.2017.09.005"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.apor.2018.12.004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2017.08.047"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2022.113182"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3195959"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2020.108407"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2967115"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2022.110760"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3073462"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794069"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IECON43393.2020.9254890"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17219"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2985965"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2905559"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref26","article-title":"Multi-scale convolutional neural networks for time series classification","author":"Cui","year":"2016","journal-title":"arXiv:1603.06995"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220060"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_24"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.03.023"},{"key":"ref30","article-title":"The UEA multivariate time series classification archive, 2018","author":"Bagnall","year":"2018","journal-title":"arXiv:1811.00075"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.4173\/mic.2009.1.1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974010.33"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.04.014"},{"key":"ref34","article-title":"Multivariate time series classification with WEASEL MUSE","author":"Sch\u00e4fer","year":"2017","journal-title":"arXiv:1711.11343"},{"key":"ref35","first-page":"4650","article-title":"Unsupervised scalable representation learning for multivariate time series","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Franceschi"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6165"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.17018"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/22797254.2018.1465361"},{"key":"ref39","volume-title":"IMU-based sea state estimation using convolutional neural networks for DP vessels","author":"Alfsen","year":"2020"},{"key":"ref40","first-page":"1567","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cao"},{"key":"ref41","first-page":"4175","article-title":"Balanced meta-softmax for long-tailed visual recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ren"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3218064"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2022.3144489"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2018.7511189"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003533"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2022.3186673"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3200009"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10339106\/10273201.pdf?arnumber=10273201","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,11]],"date-time":"2024-04-11T04:50:11Z","timestamp":1712811011000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10273201\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":47,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2023.3315674","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}