{"id":"https://openalex.org/W4411640179","doi":"https://doi.org/10.1109/tim.2025.3579835","title":"Multisource Ensemble Network-Based Learning for Knowledge-Informed FeO Prediction in Sintering","display_name":"Multisource Ensemble Network-Based Learning for Knowledge-Informed FeO Prediction in Sintering","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411640179","doi":"https://doi.org/10.1109/tim.2025.3579835"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3579835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3579835","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5044526241","display_name":"Xuehan Bai","orcid":"https://orcid.org/0000-0001-9253-2538"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuehan Bai","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9253-2538","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034655791","display_name":"Baocong Zhang","orcid":"https://orcid.org/0009-0000-6640-5295"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocong Zhang","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-6640-5295","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102799302","display_name":"Wei Liu","orcid":"https://orcid.org/0009-0006-7787-3901"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-7787-3901","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038267080","display_name":"Cailian Chen","orcid":"https://orcid.org/0000-0001-6533-8713"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cailian Chen","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6533-8713","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081185754","display_name":"Xuda Ding","orcid":"https://orcid.org/0000-0001-9372-9041"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuda Ding","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9372-9041","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024303770","display_name":"Yehan Ma","orcid":"https://orcid.org/0000-0002-8595-1619"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yehan Ma","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8595-1619","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690710","display_name":"Xinping Guan","orcid":"https://orcid.org/0009-0006-6233-8762"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinping Guan","raw_affiliation_strings":["Department of Automation, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1858-8538","affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5044526241"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.6279,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66204907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11837","display_name":"Iron and Steelmaking Processes","score":0.9961000084877014,"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/T11837","display_name":"Iron and Steelmaking Processes","score":0.9961000084877014,"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/T11126","display_name":"Metallurgical Processes and Thermodynamics","score":0.9954000115394592,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9951000213623047,"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/sintering","display_name":"Sintering","score":0.5211789011955261},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.48857197165489197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4804065525531769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45827603340148926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4244208335876465},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2843702435493469}],"concepts":[{"id":"https://openalex.org/C2777581544","wikidata":"https://www.wikidata.org/wiki/Q844613","display_name":"Sintering","level":2,"score":0.5211789011955261},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.48857197165489197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4804065525531769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45827603340148926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4244208335876465},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2843702435493469},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3579835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3579835","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1946536485","display_name":null,"funder_award_id":"62432009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5605764086","display_name":null,"funder_award_id":"62025305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1634428710","https://openalex.org/W2061016129","https://openalex.org/W2075345321","https://openalex.org/W2151673953","https://openalex.org/W2161907179","https://openalex.org/W2495179239","https://openalex.org/W2794339139","https://openalex.org/W2890793284","https://openalex.org/W3006087551","https://openalex.org/W3088611441","https://openalex.org/W3097148951","https://openalex.org/W3136110425","https://openalex.org/W3153296323","https://openalex.org/W3196731055","https://openalex.org/W4298227765","https://openalex.org/W4310479533","https://openalex.org/W4321608004","https://openalex.org/W4323073313","https://openalex.org/W4360596056","https://openalex.org/W4391582670","https://openalex.org/W4391640582","https://openalex.org/W4392638213","https://openalex.org/W4392908092","https://openalex.org/W4402568753"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Lack":[0],"of":[1,126,199],"crucial":[2],"state":[3],"data":[4,67,127],"is":[5,44,90],"a":[6,61,75,81,94,117,131],"common":[7],"problem":[8],"in":[9,13,20,60,66,98],"processing":[10,120],"industries,":[11],"particularly":[12],"iron-making.":[14],"Real-time":[15],"measurements":[16],"are":[17],"often":[18],"infeasible":[19],"harsh":[21],"conditions":[22],"such":[23],"as":[24,148],"high":[25],"temperatures":[26],"and":[27,48,69,141,170,184,191],"heavy":[28],"dust.":[29],"In":[30,72,124],"practice,":[31],"technical":[32],"experts":[33],"rely":[34],"on":[35],"manual":[36],"observations":[37],"to":[38,46,92,155],"make":[39],"estimates;":[40],"however,":[41],"this":[42,73],"knowledge":[43,114],"difficult":[45],"formalize":[47],"quantify.":[49],"To":[50],"date,":[51],"few":[52],"studies":[53],"have":[54],"effectively":[55],"addressed":[56],"these":[57],"two":[58],"challenges":[59],"unified":[62],"manner,":[63],"hindering":[64],"progress":[65],"acquisition":[68],"process":[70],"optimization.":[71],"paper,":[74],"novel":[76],"Knowledge-Informed":[77],"method":[78,165],"that":[79,176],"integrates":[80],"Multi-source":[82],"fusion":[83],"model":[84],"with":[85],"an":[86,105,149],"Ensemble":[87],"Network":[88],"(KIMEN)":[89],"proposed":[91,130,178],"predict":[93],"key":[95],"chemical":[96],"indicator":[97],"the":[99,101,156,164,177,197],"industry,":[100],"FeO":[102],"content.":[103],"Firstly,":[104],"sParts-Pair":[106],"Comparing":[107],"Sorting":[108],"(s-PCS)":[109],"strategy":[110],"was":[111,122],"introduced":[112],"for":[113],"solidification.":[115],"Furthermore,":[116],"knowledge-informed":[118],"image":[119],"scheme":[121],"proposed.":[123],"cases":[125],"scarcity,":[128],"we":[129],"two-layer":[132],"cascaded":[133],"structure":[134],"combining":[135],"Gradient":[136],"Boosting":[137],"Decision":[138],"Tree":[139],"(GBDT)":[140],"Gated":[142],"Recurrent":[143],"Unit":[144],"(GRU),":[145],"which":[146],"functions":[147],"ensemble":[150],"recurrent":[151],"network.":[152],"When":[153],"applied":[154],"Guangxi":[157],"Liuzhou":[158],"Iron":[159],"&":[160],"Steel":[161],"(Group)":[162],"Company,":[163],"demonstrates":[166],"improved":[167],"prediction":[168],"performance":[169],"practical":[171],"effectiveness.":[172],"Experimental":[173],"results":[174],"show":[175],"KIMEN":[179],"outperforms":[180],"some":[181],"conventional":[182],"methods":[183],"state-of-the-art":[185],"approaches.":[186],"Ablation":[187],"studies,":[188],"small-scale":[189],"experiments,":[190],"transfer":[192],"learning":[193],"experiments":[194],"further":[195],"validate":[196],"advantages":[198],"our":[200],"method.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-27T08:22:11.395708","created_date":"2025-10-10T00:00:00"}
