{"id":"https://openalex.org/W4400681757","doi":"https://doi.org/10.1109/tim.2024.3428604","title":"Knowledge and Data Dual-Driven Graph Neural Network for Tumbler Strength Prediction in Sintering Process","display_name":"Knowledge and Data Dual-Driven Graph Neural Network for Tumbler Strength Prediction in Sintering Process","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400681757","doi":"https://doi.org/10.1109/tim.2024.3428604"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3428604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3428604","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/A5101786091","display_name":"Yan Feng","orcid":"https://orcid.org/0000-0002-4601-4593"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Yan","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101762609","display_name":"Chunjie Yang","orcid":"https://orcid.org/0000-0002-4362-2104"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjie Yang","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351700","display_name":"Wenbin He","orcid":"https://orcid.org/0000-0003-1700-6057"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin He","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114168506","display_name":"Junjin Mu","orcid":"https://orcid.org/0009-0008-9500-857X"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjin Mu","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100964310","display_name":"Hu Guo","orcid":"https://orcid.org/0009-0006-1416-0998"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Guo","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101786091"],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":1.0634,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72979701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12080","display_name":"Injection Molding Process and Properties","score":0.9157999753952026,"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/T12080","display_name":"Injection Molding Process and Properties","score":0.9157999753952026,"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/T12932","display_name":"Powder Metallurgy Techniques and Materials","score":0.9107000231742859,"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/dual","display_name":"Dual (grammatical number)","score":0.6471153497695923},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5885270237922668},{"id":"https://openalex.org/keywords/sintering","display_name":"Sintering","score":0.5745749473571777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5649251341819763},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5299685597419739},{"id":"https://openalex.org/keywords/dual-graph","display_name":"Dual graph","score":0.44144442677497864},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4286857843399048},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35542765259742737},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.31697186827659607},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28381282091140747},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.1839979588985443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12445217370986938},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.120612233877182}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6471153497695923},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5885270237922668},{"id":"https://openalex.org/C2777581544","wikidata":"https://www.wikidata.org/wiki/Q844613","display_name":"Sintering","level":2,"score":0.5745749473571777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5649251341819763},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5299685597419739},{"id":"https://openalex.org/C169827030","wikidata":"https://www.wikidata.org/wiki/Q2294516","display_name":"Dual graph","level":4,"score":0.44144442677497864},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4286857843399048},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35542765259742737},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.31697186827659607},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28381282091140747},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.1839979588985443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12445217370986938},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.120612233877182},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3428604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3428604","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/G1656774182","display_name":null,"funder_award_id":"62394341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1982266191","display_name":null,"funder_award_id":"61933015","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":40,"referenced_works":["https://openalex.org/W1996195892","https://openalex.org/W2063592879","https://openalex.org/W2116341502","https://openalex.org/W2564938190","https://openalex.org/W2767346351","https://openalex.org/W2770645414","https://openalex.org/W2783651239","https://openalex.org/W2788805965","https://openalex.org/W2789845700","https://openalex.org/W2792764867","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2944851425","https://openalex.org/W2947004938","https://openalex.org/W2962946486","https://openalex.org/W3015966228","https://openalex.org/W3025750776","https://openalex.org/W3037186053","https://openalex.org/W3098637430","https://openalex.org/W3103326073","https://openalex.org/W3129160695","https://openalex.org/W3130377153","https://openalex.org/W3158453437","https://openalex.org/W3170197255","https://openalex.org/W3202716970","https://openalex.org/W4213415961","https://openalex.org/W4310479533","https://openalex.org/W4312313802","https://openalex.org/W4317515511","https://openalex.org/W4318040941","https://openalex.org/W4318149011","https://openalex.org/W4320015906","https://openalex.org/W4321608004","https://openalex.org/W4366147543","https://openalex.org/W4366493045","https://openalex.org/W4379180563","https://openalex.org/W6638545294","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W3146752240","https://openalex.org/W2378086236","https://openalex.org/W2470504773","https://openalex.org/W1839750456","https://openalex.org/W1522006748","https://openalex.org/W4212786251","https://openalex.org/W2516172929","https://openalex.org/W2057144288","https://openalex.org/W2963937989","https://openalex.org/W4387788489"],"abstract_inverted_index":{"The":[0],"precise":[1],"prediction":[2,102],"of":[3,7,24,83,131,179],"tumbler":[4,100,213],"strength":[5,101,214],"is":[6,69,172],"great":[8],"significance":[9],"to":[10,61,114,135,141,149,174,181],"provide":[11],"high-quality":[12],"sinter":[13],"products":[14],"for":[15,98,188],"the":[16,25,33,38,42,54,76,81,84,99,116,129,151,169,193,203,207,212],"downstream":[17],"blast":[18],"furnace":[19],"ironmaking":[20],"process.":[21],"However,":[22],"most":[23],"existing":[26,208],"soft":[27,189],"sensor":[28,190],"models":[29,68],"exclusively":[30],"depend":[31],"on":[32,196],"data-driven":[34,50,67,85],"learning":[35],"paradigm":[36],"in":[37,75,103,211],"sintering":[39,199],"process,":[40],"ignoring":[41],"knowledge":[43,65,90,111],"extraction":[44],"and":[45,63,91,153,185],"fusion.":[46],"Building":[47],"a":[48,71,89,110,143,157,197],"pure":[49],"neural":[51,95],"network":[52,96],"from":[53],"samples":[55],"usually":[56],"degrades":[57],"its":[58,164],"performance.":[59],"How":[60],"extract":[62,150],"incorporate":[64],"into":[66],"always":[70],"very":[72],"challenging":[73],"problem":[74],"industrial":[77],"field.":[78],"To":[79],"remedy":[80],"weakness":[82],"models,":[86],"we":[87,108,139],"propose":[88,109,140],"data":[92],"dual-driven":[93],"graph":[94],"(KDGNN)":[97],"an":[104],"end-to-end":[105],"fashion.":[106],"First,":[107],"representation":[112],"method":[113],"mine":[115],"spatial":[117],"coupling":[118],"relationships":[119],"among":[120],"process":[121,200],"variables":[122],"by":[123],"calculating":[124],"their":[125],"interactive":[126],"influence":[127],"under":[128],"guidance":[130],"prior":[132],"knowledge.":[133],"Then,":[134],"capture":[136],"spatial\u2013temporal":[137,145],"correlations,":[138],"design":[142],"gated":[144],"convolutional":[146],"(GSTC)":[147],"block":[148],"knowledge-based":[152],"data-based":[154],"features":[155,180,187],"using":[156],"dual-branch":[158],"network,":[159],"where":[160],"each":[161],"branch":[162],"performs":[163],"own":[165],"duty":[166],"individually.":[167],"Meanwhile,":[168],"locality-preserving":[170],"projection":[171],"developed":[173],"fuse":[175],"these":[176],"two":[177],"kinds":[178],"obtain":[182],"more":[183],"discriminative":[184],"powerful":[186],"modeling.":[191],"Finally,":[192],"experimental":[194],"results":[195],"real-world":[198],"demonstrate":[201],"that":[202],"proposed":[204],"KDGNN":[205],"outperforms":[206],"popular":[209],"methods":[210],"task.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2024-07-17T00:00:00"}
