{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{“日期-部件”:[[2024,9,5]],“日期-时间”:“2024-09-05T23:07:00Z”,“时间戳”:1725577620173},“引用-计数”:60,“发布者”:“IEEE”,“许可证”:[{“开始”:{'日期-部件“:[2021,10,1]],”日期-时间“:”2021-10-01T00:00:00Z“,”timestamp“:163304640000},”content-version“:”vor“,“delay-in-days”:0,“URL”:“https:\/\/ieeexplore.iee.org\/Xplorehelp\/downloads\/license-information\/ieee.html”},{“start”:{“date-parts”:[[2021,10,1]],“date-time”:“2021-10-01T00:00:00Z”,“timestamp”:163304640000},“content-version”:“stm-asf”,“delay-in-days“:0,”URL“https:\\/doi.org\/10.15223 \/policy-029“},{“开始”:{“日期部分”:[[2021,10,1]],“date-time”:“2021-10-01T00:00:00Z”,“timestamp”:1633046400000},“content-version”:“stm-asf”,“delay-in-days”:0,“URL”:“https:\/\/doi.org\/10.15223\/policy-037”}],“funder”:[{“doi”:“10.13039\/501000005356”,“name”:“浙江树人大学”,“doi-asserted-by”:“publisher”,“id”:[}“id”/501000005356“,”id-type“:”doi“,”asserted-by“:”publisher“}]}],“内容域”:{“域”:[],“交叉标记限制”:false},“短容器-时间”:[].,“发布-打印”:{-“日期-部件”:[[2021,10]]},”DOI“:”10.1109\/swc50871.2021.00090“,”type“:”procesdings-article“,”created“:{”date-parts“:[2021,11,18]],”date-time“:”2021-11-18T22:20:05Z“,”timestamp“:1637274005000},“页面”:“606-613”,“源”:“Crossref”,“被count引用”:0,“title”:[“旅行需求预测的机器学习和深度学习技术调查”],“prefix”:“10.1109”,“volume”:“3”,“author”:[{”给定“:“Nicolai”,“family”:“Sison”,“sequence”:“first”,“affiliation”:[]},{”给定“:“Lin”,“family”:“Li”,“sequence”:“additional”,“affiliation”:[]},{”给定“:“Meng”,“family”:“Han”,“sequence”:“additional”,“affiliation”:[]}],“member”:“263”,“reference”:[{“key”:“ref39”,“doi-asserted-by”:“publisher”,“doi”:“10.2174\/1874447820130508001”},{“key”:“ref38”,“doi-asserted-by”:“publishers”,“DI:”10.1002\/atr.1332:“10.1016\/j.tre.2019.06.016”},{“key”:“ref32”,“doi-asserted-by”:“publisher”,“DOI”:“10.1016\/j.tourman.2008.10.16”},{“key”:“ref31”,“DOI-asserted-by”:“publicher”,“DOI”:”10.1016\/j.tourman.2007.04.003“:”10.1177\/0047287511400754“},{”key“:”ref36“,”DOI-asserted-by“:”publisher“,“DOI”:“10.1080\/09720510.2013.777570”},{“key”:“ref35”,“DOI-asserted-by”:“publisher”,“DOI:”10.1016\/j.mcm.2005.09.010“}”,{”key“:”ref34“,”first-page“:”50“,”article-title“:”使用box jenkins sarima应用程序预测马来西亚的国际旅游需求“,”volume“:“3”,“author”:“loganathan”,“year”:“2010”,“journal-title”:“南亚旅游与遗产杂志”},{“key”:“ref60”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TNSE.2018.283007”},“卷”:“40”,“作者”:“boonyasana”,“年”:“2020”,“期刊标题”:“ABA期刊”},{“键”:“ref29”,“第一页”:“1”,“文章标题”:“预测航空运输需求的多元arima模型”,“作者”:“andreoni”,“年”:“2006”,“期刊标题”:“欧洲运输和贡献者协会论文集”},{“键”:“ref2”,“doi断言”:“publisher”,“DOI”:“10.1080\/10548408.2015.1063826”},{“key”:“ref1”,“DOI-asserted-by”:“publicher”,“DOI”:“101057\/rpm.2016.18”}、{“密钥”:“ref20”、“DOI-sserted-by“:”publisher“,”DOI“:”10.5430\/ijba.v2n2p14/2214-08“},{“key”:“ref21”,“DOI-asserted-by”:“crossref”,“first-page”:“12153”,“DOI”:“10.1088\/1757-899X\/407\/1\/012153”,“article-title”:“利用sarima和holt-winter指数平滑进行季节性时间序列预测”,“volume”:“407”,“author”:“pongdatu”,“year”:“2018”,“journal-title“:“IOP Conference series:Materials Science and Engineering”},{“key”:”ref24“doi-asserted-by”:“publisher”,“doi”:“10.1177\/0047287505274653”},{“key”:“ref23”,“doi-asserted-by”:“publisher”,“doi”:“10.1016\/j.rser.2016.05.006”},{“key”:”ref26“,”doi-assert-by“:”publisher“,”doi“:”10.1007\/978-3-319-13449-9_23“},”key“:”ref25“,”doi-asserted-by“serted-by“:”publisher“,”doi“:”10.1016\/j.annals.2019.01.014“},{”key“:”ref51“,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/CIFER.2009.4937507”},{“key”:“ref59”,“doi-asserted-by”:”publisher“,”doi“:”10.1109\/JIOT.2020.3007662“},}“key:”ref58“,”doi-assert-by“:”publider“,”doi“:“10.1016\/j.ssci.2020.104791”}、{“journal title”:“European journal of Operational Research”,“article-title”:“定期运输中的乘客需求预测”,“年份”:“2019年”,“作者”:“班纳吉”,“key”:“ref57”},{“key“:“ref56”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/WSC.2010.5678885”},“doi-asserted-by”:“publisher”,“doi”:“10.1016\/j.trc.2013.12.008”},{“key”:“ref53”,“doi-asserted-by”:“publisher”,“doi”:“10.7763\/IJFCC.2013.V2.165”},“年份”:“2020”,“作者”:“zhu”,“key”:“ref10”},{“key“:“ref11”,“doi-asserted-by”:“publisher”,“doi”:“10.1057\/rpm.2016.10”}\/S0169-2070(02)00011-0“},{“key”:“ref13”,“doi-asserted-by”:“publisher”,“doi”:“10.1080\/02331934.2014.896079”},{“key”:“ref14”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/IJCNN.2000.861446”},{“key”:“ref17”,“doi-asserted-by”:“publisher”,“doi”:“10.1016\/j.jairtraman.2014.01.009”},{“journal-title”:“Mosaic Data Science Tech Rep”,“article-title“:“重塑航空公司需求预测”,“年份”:“2019”,“作者”:“克兰西”,“key”:“ref18”}“doi”:“10.1108\/JTF-10-2018-0061”},{“volume”:“567”,“journal-title”:“Operations and Supply Chain Management”,“year”:“2011”,“author”:“jacobs”,“key”:《ref3》},{“key》:“ref6”,“doi-asserted-by”:“publisher”,“doi”:“10.1057\/rpm.2008.53”},}“key”:“运筹学导论”,“年份”:“2012年”,“author”:“hillier”,“key”:“ref8”},{“key“:“ref7”,“doi-asserted-by”:“publisher”,“doi”:“10.1155\/2012\/270910”}:“2013”,“journal-title”:“管理和应用经济学的进展”},{“article-title“:“用机器学习技术模拟西班牙的旅游需求。预测范围对模型选择的影响”,“年份”:“2018”,“作者”:“claveria”,“key”:“ref9”},“doi-asserted-by”:“publisher”,“doi”:“10.1088\/1757-899X\/506\/1\/012021”},{“article-title”:“时间序列预测与深度学习:调查”,“年份”:“2020”,“author”:“lim”,“key”:“ref48”},“doi-asserted-by”:“publisher”,“doi”:“10.1016\/j.jairtraman.2019.101736”},{“key”:“ref41”,“doi-asserted-by”:“publisher”,“doi”:“10.12016\/S2095-7564(15)30103-3”}、{“key”:”ref44“,“doiasserted-by“:”publisher“,”doi“:”10.1002\/jtr.2016“},“key“:”ref43“,”doi-assert-by““:”publisher“,”doi“:“10.17485\/ijst\/2016\/v9i4\/78722“}],”事件“:{”名称“:“2021 IEEE SmartWorld,无处不在的智能与计算,高级与可信计算,可扩展计算与通信,人民互联网和智能城市创新(SmartWorld\/SCALCOM\/UIC\/ATC\/IOP\/SCI)”,“开始”:{“日期”:[2021,10,18]]},“位置”:“美国佐治亚州亚特兰大”,“结束”:{“日期”:[“2021 IEEE SmartWorld,无处不在的智能与计算,高级与可信计算,可扩展计算与通信,互联网和智能城市创新(SmartWorld\/SCALCOM\/UIC\/ATC\/IOP\/SCI)”],“原始标题”:[],“链接”:[{“URL”:“http://\/xplorestaging.IEEE.org\/ielx7\/9604213\/9604403.pdf?arnumber=9604403”,“content-type”:“unspecified”,“content-version”:“vor”,“intended-application”:“similarity-checking”}],“deposed”:{“date-parts”:[[2022,5,10]],“date-time”:”2022-05-10T16:51:17Z“,“timestamp”:1652201477000},“score”:1,“resource”:{primary“:{”URL“https:\/\ieeeexplore.iee.org\/document\/9604403\/“}”,“subtittle”:[],“shorttitle”:[],“issued”:{“date-parts”:[[2021,10]]},“引用次数”:60,“URL”:“http:\/\/dx.doi.org/10.1109\/swc50871.2021.00090”,“关系”:{},“主题”:[],“已发布”:{“日期部分”:[[2021,10]]}}