{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:52:24Z","timestamp":1783183944514,"version":"3.54.6"},"reference-count":34,"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":[{"name":"Biomass and Fossil Fuel Research Alliance","award":["BF2RA Project 30"],"award-info":[{"award-number":["BF2RA Project 30"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tim.2021.3132998","type":"journal-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T20:29:40Z","timestamp":1638908980000},"page":"1-11","source":"Crossref","is-referenced-by-count":17,"title":["A Flame Imaging-Based Online Deep Learning Model for Predicting NO\u2093 Emissions From an Oxy-Biomass Combustion Process"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3048-1365","authenticated-orcid":false,"given":"Li","family":"Qin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9093-6448","authenticated-orcid":false,"given":"Gang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4184-2397","authenticated-orcid":false,"given":"Md. Moinul","family":"Hossain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9908-0431","authenticated-orcid":false,"given":"Andy","family":"Morris","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7135-5456","authenticated-orcid":false,"given":"Yong","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2011.02.015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1021\/acs.energyfuels.8b03602"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.116868"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2018.07.022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2012.10.028"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apt.2020.12.008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2020.106990"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2020.117286"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2020.117811"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2019.103870"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.11.020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2018.08.003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2015.2411999"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/00102202.2015.1102905"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106070"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2015.04.006"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2007.07.005"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/00102202.2013.798316"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00528"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2019.0100638"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3041755"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/22\/11\/114007"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2956332"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/Nature14539"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s13398-014-0173-7.2"},{"key":"ref27","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume-title":"Proc. 30th Int. Conf. Mach. Learn.","author":"Maas"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04296-5"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-019-04563-8"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08453-9"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA49547.2020.9194665"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuproc.2018.02.002"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.12.114"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5946"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9717300\/09638720.pdf?arnumber=9638720","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T23:01:21Z","timestamp":1710370881000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9638720\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/tim.2021.3132998","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}