{"id":"https://openalex.org/W2138458470","doi":"https://doi.org/10.1109/ijcnn.2010.5596645","title":"Modelling of temperature in the aluminium smelting process using Neural Networks","display_name":"Modelling of temperature in the aluminium smelting process using Neural Networks","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2138458470","doi":"https://doi.org/10.1109/ijcnn.2010.5596645","mag":"2138458470"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5113995190","display_name":"F\u00e1bio M. Soares","orcid":null},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Fabio M. Soares","raw_affiliation_strings":["Universidade Federal do Par\u00e1, Belem, Brazil","Universidade Federal do Par\u00e1, Bel\u00e9m, PA 66075000 Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Par\u00e1, Belem, Brazil","institution_ids":["https://openalex.org/I59606676"]},{"raw_affiliation_string":"Universidade Federal do Par\u00e1, Bel\u00e9m, PA 66075000 Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101868357","display_name":"Oliveira J\u00fanior","orcid":"https://orcid.org/0000-0002-6640-3182"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Roberto C. L. Oliveira","raw_affiliation_strings":["Universidade Federal do Par\u00e1, Belem, Brazil","Universidade Federal do Par\u00e1, Bel\u00e9m, PA 66075000 Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Par\u00e1, Belem, Brazil","institution_ids":["https://openalex.org/I59606676"]},{"raw_affiliation_string":"Universidade Federal do Par\u00e1, Bel\u00e9m, PA 66075000 Brazil","institution_ids":["https://openalex.org/I59606676"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113995190"],"corresponding_institution_ids":["https://openalex.org/I59606676"],"apc_list":null,"apc_paid":null,"fwci":0.5497,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73834528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11126","display_name":"Metallurgical Processes and Thermodynamics","score":0.546999990940094,"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":0.546999990940094,"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/process","display_name":"Process (computing)","score":0.7126586437225342},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6655610799789429},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5766483545303345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5732610821723938},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.5642239451408386},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5170038938522339},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4956902265548706},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.4825155436992645},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4626046419143677},{"id":"https://openalex.org/keywords/aluminium-smelting","display_name":"Aluminium smelting","score":0.428204208612442},{"id":"https://openalex.org/keywords/smelting","display_name":"Smelting","score":0.37098973989486694},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.35147345066070557},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.33079856634140015},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.32884782552719116},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26419925689697266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18262386322021484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15135261416435242},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.13508236408233643},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.11282384395599365},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11157429218292236},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.0792965292930603}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.7126586437225342},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6655610799789429},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5766483545303345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5732610821723938},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.5642239451408386},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5170038938522339},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4956902265548706},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.4825155436992645},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4626046419143677},{"id":"https://openalex.org/C147401138","wikidata":"https://www.wikidata.org/wiki/Q3090234","display_name":"Aluminium smelting","level":3,"score":0.428204208612442},{"id":"https://openalex.org/C157247726","wikidata":"https://www.wikidata.org/wiki/Q2748405","display_name":"Smelting","level":2,"score":0.37098973989486694},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35147345066070557},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.33079856634140015},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.32884782552719116},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26419925689697266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18262386322021484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15135261416435242},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.13508236408233643},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.11282384395599365},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11157429218292236},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0792965292930603},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W623776627","https://openalex.org/W2024686095","https://openalex.org/W2124776405","https://openalex.org/W2151854662","https://openalex.org/W6656425708"],"related_works":["https://openalex.org/W2266676134","https://openalex.org/W2390712328","https://openalex.org/W2474988887","https://openalex.org/W2466106858","https://openalex.org/W2357801594","https://openalex.org/W2370552428","https://openalex.org/W2384950811","https://openalex.org/W2004508011","https://openalex.org/W2380652848","https://openalex.org/W2734466982"],"abstract_inverted_index":{"Industries":[0],"are":[1,27],"aiming":[2],"to":[3,18,56,131,170],"become":[4],"more":[5],"competitive":[6],"and":[7,45,96,124,145],"enlarge":[8],"their":[9],"profits.":[10],"A":[11,149],"good":[12,33],"management":[13,25],"is":[14,83,121,160],"a":[15,110,171],"key":[16,79],"factor":[17],"accomplish":[19],"the":[20,36,84,135,154],"company's":[21],"target,":[22],"however":[23],"all":[24],"decisions":[26],"supported":[28],"by":[29],"tools":[30],"that":[31],"provide":[32],"information":[34],"on":[35,162],"process.":[37],"Soft":[38],"Sensors":[39],"have":[40],"been":[41,49,91],"applied":[42],"in":[43,94,109,113],"industries":[44],"its":[46,81,104,165],"use":[47,105,152],"has":[48,90],"growing":[50],"lately.":[51],"It":[52],"can":[53,75],"be":[54,76],"adapted":[55],"any":[57],"application":[58],"regarding":[59],"variable":[60],"measurement,":[61],"therefore":[62],"reducing":[63],"operational":[64,128],"costs":[65,144],"without":[66],"compromising":[67],"process":[68,99,112,120],"information.":[69],"In":[70],"some":[71],"cases,":[72],"better":[73],"results":[74],"obtained.":[77],"The":[78,137],"of":[80,134,139,151,153],"success":[82],"intelligent":[85],"computing":[86],"it":[87],"uses,":[88],"which":[89],"heavily":[92],"used":[93],"nonlinear":[95],"highly":[97],"complex":[98,123],"modeling.":[100],"This":[101],"work":[102],"exploits":[103],"with":[106],"Neural":[107],"Networks":[108],"chemical":[111],"an":[114],"important":[115],"Brazilian":[116],"Aluminum":[117],"Smelter":[118],"whose":[119,125],"very":[122],"measurements":[126],"consume":[127],"resources":[129],"due":[130],"corrosive":[132],"nature":[133],"plant.":[136],"usage":[138],"soft":[140,155],"sensors":[141],"may":[142],"reduce":[143],"measures'":[146],"delays":[147],"drastically.":[148],"case":[150],"sensor":[156],"for":[157],"temperature":[158],"measure":[159],"presented":[161],"this":[163],"work,":[164],"design":[166],"through":[167],"implementation,":[168],"according":[169],"researched":[172],"methodology.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
