{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:50:31Z","timestamp":1775069431370,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Brain Korea 21 FOUR"},{"DOI":"10.13039\/501100003661","name":"Korea Institute for Advancement of Technology","doi-asserted-by":"crossref","award":["P0008691"],"award-info":[{"award-number":["P0008691"]}],"id":[{"id":"10.13039\/501100003661","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Competency Development Program for Industry Specialist"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Aerosp. Electron. Syst."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/taes.2023.3269729","type":"journal-article","created":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T18:47:38Z","timestamp":1682448458000},"page":"1-18","source":"Crossref","is-referenced-by-count":5,"title":["WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8819-4596","authenticated-orcid":false,"given":"Jin Sob","family":"Kim","sequence":"first","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5308-6675","authenticated-orcid":false,"given":"Hyun Joon","family":"Park","sequence":"additional","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8475-4795","authenticated-orcid":false,"given":"Wooseok","family":"Shin","sequence":"additional","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1549-5064","authenticated-orcid":false,"given":"Dongil","family":"Park","sequence":"additional","affiliation":[{"name":"SeaVantage, Seoul, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0040-3542","authenticated-orcid":false,"given":"Sung Won","family":"Han","sequence":"additional","affiliation":[{"name":"School of Industrial and Management Engineering, Korea University, Seoul, South Korea"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3210284.3219775"},{"key":"ref12","article-title":"TrAISformer&#x2014;A generative transformer for AIS trajectory prediction","author":"nguyen","year":"2021"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-97461-7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2979612"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1656"},{"key":"ref52","article-title":"ADAM: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s20061761"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.23919\/FUSION45008.2020.9190283"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1201\/9780203869345"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2005.1639983"},{"key":"ref19","first-page":"192","article-title":"Maritime data integration and analysis: Recent progress and research challenges","volume":"2017","author":"claramunt","year":"2017","journal-title":"Adv Database Technol"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2724551"},{"key":"ref51","article-title":"Layer normalization","author":"ba","year":"0","journal-title":"Proc Conf Deep Learn Symp Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref46","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref47","first-page":"1","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/363958.363994"},{"key":"ref41","first-page":"707","article-title":"Binary codes capable of correcting deletions, insertions, and reversals","volume":"10","author":"levenshtein","year":"1966","journal-title":"Sov Phys Doklady"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1080\/14786440109462720"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00203"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054421"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2018.00044"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3096873"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2187282"},{"key":"ref3","first-page":"1","article-title":"Statistical analysis of motion patterns in AIS data: Anomaly detection and motion prediction","author":"ristic","year":"0","journal-title":"Proc IEEE Int Conf Inf Fusion"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/s18124211"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/app112311514"},{"key":"ref40","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2629025"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2943081"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2908191"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1109\/TAES.2003.1261132","article-title":"Survey of maneuvering target tracking. Part I. Dynamic models","volume":"39","author":"li","year":"2003","journal-title":"IEEE Trans Aerosp Electron Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2016.150596"},{"key":"ref32","first-page":"232","article-title":"Long-term vessel kinematics prediction exploiting mean-reverting processes","author":"millefiori","year":"0","journal-title":"Proc IEEE Int Conf Inf Fusion"},{"key":"ref2","article-title":"International convention for the safety of life at sea (SOLAS)","year":"2002"},{"key":"ref1","author":"sirimanne","year":"2022","journal-title":"Review of Maritime Transport"},{"key":"ref39","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"0","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57421-9_20"},{"key":"ref23","first-page":"1","article-title":"Plausibility analysis of navigation related AIS parameter based on time series","author":"heymann","year":"0","journal-title":"Proc Eur Navigation Conf"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001934"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.23919\/FUSION43075.2019.9011384"},{"key":"ref20","first-page":"1","article-title":"The automatic identification system (AIS) as a data source for studying maritime traffic","author":"kerbiriou","year":"0","journal-title":"Proc Int Maritime Sci Conf"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1017\/S0373463318000188"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/S0373463307004298"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/e15062218"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"2512","DOI":"10.1016\/j.procs.2021.09.020","article-title":"DBSCAN algorithm for AIS data reconstruction","volume":"192","author":"mieczy?ska","year":"0","journal-title":"Procedia Comput Sci"},{"key":"ref29","article-title":"Moving objects analytics: Survey on future location & trajectory prediction methods","author":"georgiou","year":"2018"}],"container-title":["IEEE Transactions on Aerospace and Electronic Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7\/7778228\/10107762.pdf?arnumber=10107762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T20:16:26Z","timestamp":1696968986000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10107762\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/taes.2023.3269729","relation":{},"ISSN":["0018-9251","1557-9603","2371-9877"],"issn-type":[{"value":"0018-9251","type":"print"},{"value":"1557-9603","type":"electronic"},{"value":"2371-9877","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}