{"id":"https://openalex.org/W3209560056","doi":"https://doi.org/10.1177/01423312211052213","title":"Generative adversarial network\u2013based real-time temperature prediction model for heating stage of electric arc furnace","display_name":"Generative adversarial network\u2013based real-time temperature prediction model for heating stage of electric arc furnace","publication_year":2021,"publication_date":"2021-10-21","ids":{"openalex":"https://openalex.org/W3209560056","doi":"https://doi.org/10.1177/01423312211052213","mag":"3209560056"},"language":"en","primary_location":{"id":"doi:10.1177/01423312211052213","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312211052213","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100386706","display_name":"Chuang Li","orcid":"https://orcid.org/0000-0002-3551-0217"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuang Li","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, China"],"raw_orcid":"https://orcid.org/0000-0002-3551-0217","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101473074","display_name":"Zhizhong Mao","orcid":"https://orcid.org/0000-0002-4147-0688"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhong Mao","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, China"],"raw_orcid":"https://orcid.org/0000-0002-4147-0688","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100386706"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":1.1268,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.75327955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"44","issue":"8","first_page":"1669","last_page":"1684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11126","display_name":"Metallurgical Processes and Thermodynamics","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11126","display_name":"Metallurgical Processes and Thermodynamics","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9549999833106995,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8701452612876892},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.7459125518798828},{"id":"https://openalex.org/keywords/electric-arc-furnace","display_name":"Electric arc furnace","score":0.5303581357002258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4839056432247162},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.4473952054977417},{"id":"https://openalex.org/keywords/electric-arc","display_name":"Electric arc","score":0.43624556064605713},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.34967780113220215},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3161725401878357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23517286777496338},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.18926754593849182},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.15929144620895386},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.1397799551486969},{"id":"https://openalex.org/keywords/electrode","display_name":"Electrode","score":0.07698369026184082}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8701452612876892},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7459125518798828},{"id":"https://openalex.org/C199948506","wikidata":"https://www.wikidata.org/wiki/Q650993","display_name":"Electric arc furnace","level":2,"score":0.5303581357002258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4839056432247162},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.4473952054977417},{"id":"https://openalex.org/C114375839","wikidata":"https://www.wikidata.org/wiki/Q207456","display_name":"Electric arc","level":3,"score":0.43624556064605713},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.34967780113220215},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3161725401878357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23517286777496338},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.18926754593849182},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.15929144620895386},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.1397799551486969},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"score":0.07698369026184082},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/01423312211052213","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312211052213","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1832975644","https://openalex.org/W1966059918","https://openalex.org/W1972110362","https://openalex.org/W1992034510","https://openalex.org/W2023463754","https://openalex.org/W2029946726","https://openalex.org/W2031489346","https://openalex.org/W2031851418","https://openalex.org/W2058580716","https://openalex.org/W2064675550","https://openalex.org/W2067533753","https://openalex.org/W2074132599","https://openalex.org/W2111072639","https://openalex.org/W2136848157","https://openalex.org/W2292720748","https://openalex.org/W2483836643","https://openalex.org/W2567534979","https://openalex.org/W2587706859","https://openalex.org/W2622064152","https://openalex.org/W2768789311","https://openalex.org/W2782974417","https://openalex.org/W2798874329","https://openalex.org/W2912275983","https://openalex.org/W2925178532","https://openalex.org/W2936428157","https://openalex.org/W2950440645","https://openalex.org/W2962894061","https://openalex.org/W2963047498","https://openalex.org/W2963073614","https://openalex.org/W2963377110","https://openalex.org/W2977450478","https://openalex.org/W2995831381","https://openalex.org/W3083956363","https://openalex.org/W3088145342","https://openalex.org/W3101639073","https://openalex.org/W3106288216","https://openalex.org/W3111277736","https://openalex.org/W3171429286","https://openalex.org/W4210253073"],"related_works":["https://openalex.org/W2953246223","https://openalex.org/W4293320219","https://openalex.org/W3110074278","https://openalex.org/W4283584549","https://openalex.org/W2618858825","https://openalex.org/W2554314924","https://openalex.org/W2998859928","https://openalex.org/W4381885966","https://openalex.org/W4288256692","https://openalex.org/W2969399009"],"abstract_inverted_index":{"For":[0],"accurately":[1],"predicting":[2],"the":[3,24,35,42,63,73,78,84,87,91,96,100,115,120,124,131,137,146,150,157,174,177],"molten":[4,47,160],"steel":[5,48,161],"temperature":[6,94,102,117,135,140,158],"of":[7,46,65,72,86,123,133,139,159,176],"heating":[8],"stage":[9],"in":[10,15,31,162],"electric":[11],"arc":[12],"furnace":[13],"(EAF)":[14],"real":[16,163],"time,":[17],"a":[18,111,166],"novel":[19],"prediction":[20],"model":[21],"based":[22,40],"on":[23,41],"generative":[25],"adversarial":[26],"network":[27],"(GAN)":[28],"is":[29,37,68,80,103,110,126,152],"proposed":[30,178],"this":[32],"paper.":[33],"First,":[34],"generator":[36,92,125,151],"specially":[38],"designed":[39],"simplified":[43],"energy":[44],"balance":[45],"combined":[49],"with":[50,165,170],"long":[51],"short-term":[52],"memory":[53],"(LSTM)":[54],"network.":[55],"The":[56],"sequential":[57],"smelting":[58,107],"variables":[59],"are":[60],"used":[61],"as":[62],"input":[64],"generator,":[66,149],"which":[67,109],"an":[69],"effective":[70],"representation":[71],"time-variant":[74],"EAF":[75],"operations.":[76],"Meanwhile,":[77],"discriminator":[79,147],"established":[81],"to":[82,106,114,128,155],"indicate":[83],"deviation":[85],"changing":[88,141],"trend":[89],"between":[90],"predicted":[93,134],"and":[95,136,148],"simulated":[97,101],"temperature.":[98],"Here,":[99],"produced":[104],"according":[105],"experience":[108],"good":[112],"supplement":[113],"sparse":[116],"measurements.":[118],"Subsequently,":[119],"loss":[121],"function":[122],"improved":[127],"consider":[129],"both":[130],"accuracy":[132],"correctness":[138],"trend.":[142],"Through":[143],"alternate":[144],"training":[145],"finally":[153],"able":[154],"predict":[156],"time":[164],"better":[167],"precision.":[168],"Experiments":[169],"practical":[171],"data":[172],"verify":[173],"effectiveness":[175],"model.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
