{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T04:46:45Z","timestamp":1746334005840,"version":"3.37.3"},"reference-count":39,"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":[{"name":"Shenzhen Science and Technology Projects","award":["JCYJ20180306173210774"],"award-info":[{"award-number":["JCYJ20180306173210774"]}]},{"name":"Scientific Research Foundation of Third Institute of Oceanography, MNR","award":["2019030"],"award-info":[{"award-number":["2019030"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671397"],"award-info":[{"award-number":["61671397"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2957806","type":"journal-article","created":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T16:14:57Z","timestamp":1575562497000},"page":"176329-176338","source":"Crossref","is-referenced-by-count":9,"title":["Generalized Pareto Model Based on Particle Swarm Optimization for Anomaly Detection"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7868-093X","authenticated-orcid":false,"given":"Yan","family":"Huang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9651-971X","authenticated-orcid":false,"given":"Fuyu","family":"Du","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0760-0338","authenticated-orcid":false,"given":"Jian","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0409-9485","authenticated-orcid":false,"given":"Yan","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7324-0433","authenticated-orcid":false,"given":"Qicong","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0820-5487","authenticated-orcid":false,"given":"Maozhen","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.857610"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2885075"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.2307\/1968974"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1017\/S0305004100015681"},{"journal-title":"Practical Extreme Value Statistics Methods","year":"2006","author":"shi","key":"ref31"},{"key":"ref30","first-page":"187","article-title":"Statistics of extremes","volume":"15","author":"gumbel","year":"2011","journal-title":"Empire Survey Rev"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1087.2010.02578"},{"key":"ref36","first-page":"1677","article-title":"Multiobjective optimization using dynamic neighborhood particle swarm optimization","volume":"2","author":"hu","year":"2002","journal-title":"Proc IEEE World Congr Comput Intell"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"article-title":"The application of extreme value statistics in catastrophe insurance","year":"2008","author":"wei","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.06.042"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.04.028"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.03.073"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.04.066"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.01.020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098144"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1993.10485040"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2560128"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2015.2487678"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2012.12.010"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.12.015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.11.026"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TEVC.2013.2296151","article-title":"Adaptive multiobjective particle swarm optimization based on parallel cell coordinate system","volume":"19","author":"hu","year":"2015","journal-title":"IEEE Trans Evol Comput"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.psep.2017.01.017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.05.020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-09330-7_44"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2016.05.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2014.2369415"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-22053-6_1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2017.04.043"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2012.10.005"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2840086"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2004.826069"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870151"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2886457"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510436"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.03.029"},{"key":"ref26","first-page":"33","article-title":"Prediction of nonstationary downburst wind velocity based on time-varying arma and emd-pso-lssvm algorithms","volume":"17","author":"li","year":"2016","journal-title":"Shock Vib"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.01.003"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08924632.pdf?arnumber=8924632","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:23Z","timestamp":1641987083000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8924632\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2957806","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}