{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T23:58:49Z","timestamp":1768780729052,"version":"3.49.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T00:00:00Z","timestamp":1651622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,4]],"date-time":"2022-05-04T00:00:00Z","timestamp":1651622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,4]]},"DOI":"10.23919\/ascc56756.2022.9828133","type":"proceedings-article","created":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T19:38:23Z","timestamp":1658345903000},"page":"601-606","source":"Crossref","is-referenced-by-count":1,"title":["Identification and Evaluation of Blast Furnace Condition Based on Spatio-Temporal Feature Extraction"],"prefix":"10.23919","author":[{"given":"Zheyi","family":"Zhang","sequence":"first","affiliation":[{"name":"China University of Geosciences,School of Automation,Wuhan,China,430074"}]},{"given":"Weihua","family":"Cao","sequence":"additional","affiliation":[{"name":"China University of Geosciences,School of Automation,Wuhan,China,430074"}]},{"given":"Wenshuo","family":"Song","sequence":"additional","affiliation":[{"name":"China University of Geosciences,School of Automation,Wuhan,China,430074"}]},{"given":"Wenkai","family":"Hu","sequence":"additional","affiliation":[{"name":"China University of Geosciences,School of Automation,Wuhan,China,430074"}]},{"given":"Min","family":"Wu","sequence":"additional","affiliation":[{"name":"China University of Geosciences,School of Automation,Wuhan,China,430074"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2355\/isijinternational1966.7.223"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2355\/isijinternational1966.10.181"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2006.12.015"},{"issue":"11","key":"ref4","first-page":"1476","article-title":"Mathematical models to predict raceway penetration and variation laws in a blast furnace","volume":"32","author":"Guo","year":"2010","journal-title":"Journal of University of Science and Technology Beijing"},{"issue":"10","key":"ref5","first-page":"1733","article-title":"Mathematical model for prediction of bottom and hearth of blast furnace by boundary element method","volume":"38","author":"Wu","year":"2004","journal-title":"Journal of Shanghai Jiaotong University"},{"issue":"5","key":"ref6","first-page":"490","article-title":"Study and application of burden distribution model for Bell-less BF","volume":"13","author":"Wu","year":"2006","journal-title":"Control Engineering of China"},{"issue":"1","key":"ref7","first-page":"15","article-title":"An expert system for abnormal status diagnosis on blast furnace","volume":"26","author":"Su","year":"2002","journal-title":"Metallurgical Industry Automation"},{"issue":"6","key":"ref8","first-page":"7","article-title":"Intelligengt diagnosis and decision support system of blast furnace based on expert system","volume":"37","author":"Ma","year":"2013","journal-title":"Metallurgical Industry Automation"},{"issue":"5","key":"ref9","first-page":"1028","article-title":"Research on fault classification of blast furnace condition based on deep belief network","volume":"39","author":"Zhao","year":"2018","journal-title":"Foundry Technology"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3069869"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2011.2159693"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2012.2206336"},{"issue":"4","key":"ref13","first-page":"506","article-title":"Prediction method of blast furnace hanging based on fusion of subjective and objective evidences","volume":"36","author":"Cao","year":"2014","journal-title":"Journal of University of Science and Technology Beijing"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2020.104474"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2873605"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3102443"},{"issue":"12","key":"ref17","first-page":"3869","article-title":"Emotion classification of spatiotemporal EEG features using hybrid neural networks","volume":"32","author":"Chen","year":"2021","journal-title":"Journal of Software"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abh0146"},{"key":"ref19","article-title":"Sparse representation with spike convolutional neural networks for scene classification of remote sensing images of high resolution","author":"Zhang","journal-title":"Control and Decision"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00331"}],"event":{"name":"2022 13th Asian Control Conference (ASCC)","location":"Jeju, Korea, Republic of","start":{"date-parts":[[2022,5,4]]},"end":{"date-parts":[[2022,5,7]]}},"container-title":["2022 13th Asian Control Conference (ASCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9828005\/9828007\/09828133.pdf?arnumber=9828133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T04:12:31Z","timestamp":1706760751000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9828133\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,4]]},"references-count":20,"URL":"https:\/\/doi.org\/10.23919\/ascc56756.2022.9828133","relation":{},"subject":[],"published":{"date-parts":[[2022,5,4]]}}}