{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T15:01:30Z","timestamp":1776956490147,"version":"3.51.4"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFB1714300"],"award-info":[{"award-number":["2021YFB1714300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61890930-3"],"award-info":[{"award-number":["61890930-3"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014219","name":"National Natural Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","award":["61925305"],"award-info":[{"award-number":["61925305"]}],"id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Pujiang Program","award":["21PJ1402200"],"award-info":[{"award-number":["21PJ1402200"]}]},{"name":"Shanghai AI Laboratory"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tim.2022.3180405","type":"journal-article","created":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T20:04:05Z","timestamp":1654545845000},"page":"1-13","source":"Crossref","is-referenced-by-count":5,"title":["Neural Network Based on Windowed Convolutional Transformation to Extract Features in Time Domain and Its Application on Soft Sensing"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6146-4843","authenticated-orcid":false,"given":"Yusheng","family":"Lu","sequence":"first","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Processes, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4962-7360","authenticated-orcid":false,"given":"Dan","family":"Yang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Processes, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8616-9568","authenticated-orcid":false,"given":"Zhongmei","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Processes, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9277-8415","authenticated-orcid":false,"given":"Xin","family":"Peng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Processes, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4285-4739","authenticated-orcid":false,"given":"Weimin","family":"Zhong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Manufacturing in Energy Chemical Processes, East China University of Science and Technology, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.8b01270"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2951708"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b03119"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2020.104031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2017.2655522"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015929"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.8b02913"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/1063293X16666312"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2016.02.014"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/cem.3040"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2003.11.004"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.6b04633"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b05547"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/aic.12422"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.07.023"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.124405"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2622668"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2809730"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957366"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2869899"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2902129"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2019.104198"},{"key":"ref24","first-page":"6571","article-title":"Neural ordinary differential equations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref25","article-title":"ANODE: Unconditionally accurate memory-efficient gradients for neural ODEs","author":"Gholami","year":"2019","journal-title":"arXiv:1902.10298"},{"key":"ref26","article-title":"Latent ODEs for irregularly-sampled time series","author":"Rubanova","year":"2019","journal-title":"arXiv:1907.03907"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"issue":"183","key":"ref29","first-page":"377","article-title":"The numerical analysis of ordinary differential equations: Runge-kutta and general linear methods","volume":"51","author":"Butcher","year":"1987","journal-title":"Math. Comput."},{"issue":"2","key":"ref30","first-page":"231","article-title":"Dynamic simulation and optimization of ethylene distillation column in startup process","volume":"45","author":"Ye","year":"2019","journal-title":"J. East China Univ. Sci. Technol."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.11.005"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9717300\/09789139.pdf?arnumber=9789139","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T02:48:27Z","timestamp":1706755707000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9789139\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/tim.2022.3180405","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}