{"id":"https://openalex.org/W3049585497","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207202","title":"KutralNet: A Portable Deep Learning Model for Fire Recognition","display_name":"KutralNet: A Portable Deep Learning Model for Fire Recognition","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3049585497","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207202","mag":"3049585497"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.06866","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Angel Ayala","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Angel Ayala","raw_affiliation_strings":["Escola Polit\u00e9cnica de Pernambuco, Universidade de Pernambuco, Recife, Brasil"],"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco, Universidade de Pernambuco, Recife, Brasil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bruno Fernandes","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno Fernandes","raw_affiliation_strings":["Escola Polit\u00e9cnica de Pernambuco, Universidade de Pernambuco, Recife, Brasil"],"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica de Pernambuco, Universidade de Pernambuco, Recife, Brasil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Francisco Cruz","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]},{"id":"https://openalex.org/I4210156023","display_name":"Universidad Central de Chile","ror":"https://ror.org/0577avk88","country_code":"CL","type":"education","lineage":["https://openalex.org/I4210156023"]}],"countries":["AU","CL"],"is_corresponding":false,"raw_author_name":"Francisco Cruz","raw_affiliation_strings":["Escuela de Ingenier\u00eda, Universidad Central de Chile, Santiago, Chile","School of Information Technology, Deakin University, Geelong, Australia"],"affiliations":[{"raw_affiliation_string":"Escuela de Ingenier\u00eda, Universidad Central de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I4210156023"]},{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":null,"display_name":"David Macedo","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]},{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["BR","CA"],"is_corresponding":false,"raw_author_name":"David Macedo","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brasil","Montreal Institute for Learning Algorithms, University of Montreal, Quebec, Canada"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brasil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Montreal Institute for Learning Algorithms, University of Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Adriano L. I. Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adriano L. I. Oliveira","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brasil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brasil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":null,"display_name":"Cleber Zanchettin","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]},{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["BR","US"],"is_corresponding":false,"raw_author_name":"Cleber Zanchettin","raw_affiliation_strings":["Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brasil","Department of Chemical and Biological Engineering, Northwestern University, Evanston, United States of America"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, Recife, Brasil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Department of Chemical and Biological Engineering, Northwestern University, Evanston, United States of America","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71437568"],"apc_list":null,"apc_paid":null,"fwci":2.4759,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.87761582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/deep-learning","display_name":"Deep learning","score":0.8163999915122986},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5763000249862671},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5591999888420105},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.5042999982833862},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.39989998936653137},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3837999999523163},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.35749998688697815},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3424000144004822}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8163999915122986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.713100016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699400007724762},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5763000249862671},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5591999888420105},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.5042999982833862},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40860000252723694},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.39989998936653137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38920000195503235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34139999747276306},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C2781325802","wikidata":"https://www.wikidata.org/wiki/Q898090","display_name":"Fire alarm system","level":3,"score":0.3000999987125397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.27489998936653137}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2008.06866","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.06866","pdf_url":"https://arxiv.org/pdf/2008.06866","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.06866","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.06866","pdf_url":"https://arxiv.org/pdf/2008.06866","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2027645937","https://openalex.org/W2078964886","https://openalex.org/W2088931902","https://openalex.org/W2531409750","https://openalex.org/W2741119099","https://openalex.org/W2761592246","https://openalex.org/W2807862495","https://openalex.org/W2901982721","https://openalex.org/W2919115771","https://openalex.org/W2927169546","https://openalex.org/W2962755172","https://openalex.org/W2963163009","https://openalex.org/W2964081807","https://openalex.org/W2988396473","https://openalex.org/W3012452689","https://openalex.org/W6640185926","https://openalex.org/W6684192995","https://openalex.org/W6687483927","https://openalex.org/W6740474667","https://openalex.org/W6763710828","https://openalex.org/W6793606133"],"related_works":[],"abstract_inverted_index":{"Most":[0],"of":[1,19,29,63,109,142,147,182,193],"the":[2,8,20,24,27,33,57,60,64,107,124,140,180,183,190],"automatic":[3],"fire":[4,9,95,104],"alarm":[5],"systems":[6],"detect":[7],"presence":[10],"through":[11],"sensors":[12,46],"like":[13,118],"thermal,":[14],"smoke,":[15],"or":[16],"flame.":[17],"One":[18,146],"new":[21,84],"approaches":[22],"to":[23,31,72,122],"problem":[25],"is":[26,38,69],"use":[28,108],"images":[30],"perform":[32],"detection.":[34],"The":[35,128,164,174],"image":[36],"approach":[37,102],"promising":[39,178],"since":[40],"it":[41],"does":[42],"not":[43],"need":[44],"specific":[45],"and":[47,106,120,144,161,171,195],"can":[48],"be":[49],"easily":[50],"embedded":[51],"in":[52,75,185],"different":[53],"devices.":[54,77],"However,":[55],"besides":[56],"high":[58,135],"performance,":[59],"computational":[61,126],"cost":[62],"used":[65],"deep":[66,85],"learning":[67,86],"methods":[68,166],"a":[70,83,100,186],"challenge":[71],"their":[73],"deployment":[74],"portable":[76,101],"In":[78],"this":[79],"work,":[80],"we":[81,98],"propose":[82,99],"architecture":[87],"that":[88,131],"requires":[89],"fewer":[90,152],"floating-point":[91],"operations":[92],"(flops)":[93],"for":[94,103,179],"recognition.":[96],"Additionally,":[97],"recognition":[105],"modern":[110],"techniques":[111],"such":[112],"as":[113],"inverted":[114],"residual":[115],"block,":[116],"convolutions":[117],"depth-wise,":[119],"octave,":[121],"reduce":[123],"model's":[125],"cost.":[127],"experiments":[129],"show":[130],"our":[132,148],"model":[133,184],"keeps":[134],"accuracy":[136,160],"while":[137,156],"substantially":[138],"reducing":[139],"number":[141,192],"parameters":[143,153,196],"flops.":[145],"models":[149],"presents":[150],"71%":[151],"than":[154],"FireNet,":[155],"still":[157],"presenting":[158],"competitive":[159],"AUROC":[162],"performance.":[163],"proposed":[165],"are":[167,177],"evaluated":[168],"on":[169],"FireNet":[170],"FiSmo":[172],"datasets.":[173],"obtained":[175],"results":[176],"implementation":[181],"mobile":[187],"device,":[188],"considering":[189],"reduced":[191],"flops":[194],"acquired.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2020-08-21T00:00:00"}
