{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T05:08:46Z","timestamp":1780981726196,"version":"3.54.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"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":["61703009"],"award-info":[{"award-number":["61703009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Elite Scientist Sponsorship Program"},{"DOI":"10.13039\/100010097","name":"China Association for Science and Technology","doi-asserted-by":"publisher","award":["2017QNRC001"],"award-info":[{"award-number":["2017QNRC001"]}],"id":[{"id":"10.13039\/100010097","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Top-Notch Talents Team Program of Beijing Excellent Talents Funding","award":["2017000026833ZK40"],"award-info":[{"award-number":["2017000026833ZK40"]}]},{"DOI":"10.13039\/501100018537","name":"National Science and Technology Major Project","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100018537","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Science and Technology of China","award":["2018ZX07111005"],"award-info":[{"award-number":["2018ZX07111005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1109\/tii.2020.2991208","type":"journal-article","created":{"date-parts":[[2020,4,29]],"date-time":"2020-04-29T21:17:27Z","timestamp":1588195047000},"page":"2261-2270","source":"Crossref","is-referenced-by-count":107,"title":["Ensemble Meta-Learning for Few-Shot Soot Density Recognition"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6903-184X","authenticated-orcid":false,"given":"Ke","family":"Gu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8700-6872","authenticated-orcid":false,"given":"Yonghui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1707-6074","authenticated-orcid":false,"given":"Junfei","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2017.1415474"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2850930"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2927719"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878283"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1249"},{"key":"ref30","article-title":"Few-shot video classification via temporal alignment","author":"cao","year":"2019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2671351"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2655538"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2477832"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2387386"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.applthermaleng.2013.01.034"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2842229"},{"key":"ref11","first-page":"1","article-title":"Automatic control of soot and unburnt hydro carbons from flares in oil and gas industry","author":"srinivasarao","year":"0","journal-title":"Proc Int Conf Utility Exhib Green Energy Sustain Develop"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jngse.2011.10.001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref14","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"0","journal-title":"Proc Eur Conf Comp Vis"},{"key":"ref15","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref28","article-title":"Deep meta-learning: Learning to learn in the concept space","author":"zhou","year":"2018"},{"key":"ref4","first-page":"1","article-title":"IOT-based air pollution monitoring and forecasting system","author":"chen","year":"0","journal-title":"Proc Int Conf Comput Comput Sci"},{"key":"ref27","article-title":"Meta-SGD: Learning to learn quickly for few-shot learning","author":"li","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4236\/epe.2012.44039"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2019.2921331"},{"key":"ref29","article-title":"MxML: Mixture of meta-learners for few-shot classification","author":"park","year":"2019"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.envsoft.2018.03.030","article-title":"A land use regression variable generation, modelling and prediction tool for air pollution exposure assessment","volume":"105","author":"neda","year":"2018","journal-title":"Environ Model Softw"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2951847"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"7525","DOI":"10.1007\/s11356-019-04185-3","article-title":"A ubiquitous asthma monitoring framework based on ambient air pollutants and individuals contexts","volume":"26","author":"neda","year":"2019","journal-title":"Environ Sci Pollut Res"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"2063","DOI":"10.1016\/S1352-2310(99)00460-4","article-title":"Atmospheric chemistry of VOCs and NOx","volume":"34","author":"roger","year":"2000","journal-title":"Atmos Environ"},{"key":"ref9","first-page":"252","article-title":"Environmental pollution and measurement of gas flaring","volume":"2","author":"emam","year":"2012","journal-title":"Int J Sci Res Sci Eng Technol"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1080\/00102208608923934","article-title":"Combustion efficiency of flares","volume":"50","author":"john","year":"1986","journal-title":"Combustion Sci Technol"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2747399"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-019-03013-5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2929009"},{"key":"ref24","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2016.7498955"},{"key":"ref26","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2978921"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/9281052\/09082090.pdf?arnumber=9082090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:45Z","timestamp":1652194365000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9082090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":40,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tii.2020.2991208","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3]]}}}