{"id":"https://openalex.org/W2166188153","doi":"https://doi.org/10.1109/acc.2005.1470153","title":"Entropy analysis applied to NFIR models","display_name":"Entropy analysis applied to NFIR models","publication_year":2005,"publication_date":"2005-08-10","ids":{"openalex":"https://openalex.org/W2166188153","doi":"https://doi.org/10.1109/acc.2005.1470153","mag":"2166188153"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2005.1470153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2005.1470153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005, American Control Conference, 2005.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021298458","display_name":"Oswaldo Ludwig J\u00fanior","orcid":null},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"O.L. Junior","raw_affiliation_strings":["Universidad Federal de Bahia, Salvador, Bahia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Federal de Bahia, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050574476","display_name":"Ant\u00f4nio Cezar de Castro Lima","orcid":"https://orcid.org/0000-0002-9467-6022"},"institutions":[{"id":"https://openalex.org/I126158947","display_name":"Universidade Federal da Bahia","ror":"https://ror.org/03k3p7647","country_code":"BR","type":"education","lineage":["https://openalex.org/I126158947"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"A.C. de Castro Lima","raw_affiliation_strings":["Universidad Federal de Bahia, Salvador, Bahia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Federal de Bahia, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I126158947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052563857","display_name":"Leizer Schnitman","orcid":"https://orcid.org/0000-0002-0399-6689"},"institutions":[{"id":"https://openalex.org/I4210143970","display_name":"Faculdade de Tecnologia e Ci\u00eancias","ror":"https://ror.org/04c3ymz82","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210143970"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L. Schnitman","raw_affiliation_strings":["AREA I Faculdade de Ci\u00eancia e Tecnologia, Salvador, Bahia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AREA I Faculdade de Ci\u00eancia e Tecnologia, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I4210143970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103533103","display_name":"J. A. M. Felippe de Souza","orcid":null},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"education","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"J.A.M.F. de Souza","raw_affiliation_strings":["The Electrical Engineering Department, Universidade da Beira Interior Covilha, Covilha, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Electrical Engineering Department, Universidade da Beira Interior Covilha, Covilha, Portugal","institution_ids":["https://openalex.org/I161321875"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1357","last_page":"1358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/principal-component-analysis","display_name":"Principal component analysis","score":0.7827202081680298},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7306526303291321},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.651768147945404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6393302083015442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6152298450469971},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44334882497787476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4411293566226959},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3838503956794739}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7827202081680298},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7306526303291321},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.651768147945404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6393302083015442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6152298450469971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44334882497787476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4411293566226959},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3838503956794739},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2005.1470153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2005.1470153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005, American Control Conference, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1667165204","https://openalex.org/W1714828534","https://openalex.org/W2004075725","https://openalex.org/W2138484437","https://openalex.org/W2149350706","https://openalex.org/W2157655343","https://openalex.org/W2519135313","https://openalex.org/W2942228371","https://openalex.org/W4285719527","https://openalex.org/W6726383868"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062","https://openalex.org/W4380081032"],"abstract_inverted_index":{"This":[0],"present":[1],"work":[2],"has":[3],"been":[4],"developed":[5],"in":[6,25,44],"view":[7],"of":[8,31,38,41,48,63],"a":[9,14,39],"research":[10],"project":[11],"that":[12,80],"aims":[13],"mapping":[15],"process":[16],"between":[17],"infrared":[18],"images":[19],"and":[20,66],"thermo":[21],"pair":[22],"sensors":[23],"readings":[24],"diesel":[26],"motors":[27],"by":[28],"the":[29,45,60],"use":[30],"artificial":[32,49],"neural":[33,50],"network.":[34],"The":[35,54,69],"consistence":[36],"analysis":[37,62,72],"set":[40],"examples":[42],"used":[43],"supervised":[46],"training":[47],"networks":[51],"is":[52,57,74],"presented.":[53],"proposed":[55],"approach":[56],"based":[58],"on":[59],"entropy":[61,85],"both":[64],"input":[65],"output":[67],"data.":[68],"principal":[70],"component":[71],"method":[73],"applied":[75],"to":[76,83],"avoid":[77],"redundant":[78],"information":[79],"can":[81],"lead":[82],"an":[84],"level":[86],"overestimation.":[87]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}