{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:27:22Z","timestamp":1775068042903,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"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":["61703367"],"award-info":[{"award-number":["61703367"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFC0808600"],"award-info":[{"award-number":["2018YFC0808600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019T120516"],"award-info":[{"award-number":["2019T120516"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1109\/tase.2019.2950716","type":"journal-article","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T21:19:20Z","timestamp":1574457560000},"page":"871-885","source":"Crossref","is-referenced-by-count":34,"title":["Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1291-3072","authenticated-orcid":false,"given":"Weiming","family":"Shao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2071-4380","authenticated-orcid":false,"given":"Zhiqiang","family":"Ge","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0881-213X","authenticated-orcid":false,"given":"Le","family":"Yao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4098-6479","authenticated-orcid":false,"given":"Zhihuan","family":"Song","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2017.02.002"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1021\/ie101146d"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b02651"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.03.011"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2856200"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2874589"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1214\/06-BA104"},{"key":"ref36","first-page":"554","article-title":"The infinite Gaussian mixture model","author":"rasmussen","year":"2000","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/72.655045"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2013.11.006"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2016.2608914"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2014.01.012"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2733448"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.12.126"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.8b04075"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2014.04.045"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2016.2579609"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1021\/ie3020186"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2012.07.018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2013.06.014"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2859366"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2016.07.018"},{"key":"ref27","article-title":"Semi-supervised robust modeling of multimode industrial processes for quality variable prediction based on Student&#x2019;s t mixture model","author":"shao","year":"0","journal-title":"IEEE Trans Ind Informat"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2018.2831901"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.8b02913"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2018.09.031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2304536"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2018.01.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2008.12.012"},{"key":"ref2","author":"fortuna","year":"2007","journal-title":"Soft Sensors for Monitoring and Control of Industrial Processes"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2733443"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2018.2856845"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1021\/ie5029864"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.6b00240"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2016.04.033"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2014.07.013"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/app.45237"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2016.2576999"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cjche.2016.07.005"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8856\/9058744\/08910524.pdf?arnumber=8910524","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T16:43:10Z","timestamp":1651077790000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8910524\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4]]},"references-count":40,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tase.2019.2950716","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4]]}}}