{"id":"https://openalex.org/W4283733309","doi":"https://doi.org/10.1109/codit55151.2022.9803928","title":"Machine Learning based Classification for Fire and Smoke Images Recognition","display_name":"Machine Learning based Classification for Fire and Smoke Images Recognition","publication_year":2022,"publication_date":"2022-05-17","ids":{"openalex":"https://openalex.org/W4283733309","doi":"https://doi.org/10.1109/codit55151.2022.9803928"},"language":"en","primary_location":{"id":"doi:10.1109/codit55151.2022.9803928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit55151.2022.9803928","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5086155446","display_name":"Hedi Jabnouni","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]},{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Hedi Jabnouni","raw_affiliation_strings":["Universite de Sousse Institut Superieur d'Informatique et des Techniques de Communication de H. Sousse,H. Sousse,Tunisie,4011","LR13 ES03 SIME, ENS IT, Universite de Tunis, Montfleury, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Universite de Sousse Institut Superieur d'Informatique et des Techniques de Communication de H. Sousse,H. Sousse,Tunisie,4011","institution_ids":["https://openalex.org/I8636806"]},{"raw_affiliation_string":"LR13 ES03 SIME, ENS IT, Universite de Tunis, Montfleury, Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072526903","display_name":"Imen Arfaoui","orcid":null},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Imen Arfaoui","raw_affiliation_strings":["Universite de Tunis,LR13 ES03 SIME, ENS IT,Montfleury, Tunis,Tunisia,1008"],"affiliations":[{"raw_affiliation_string":"Universite de Tunis,LR13 ES03 SIME, ENS IT,Montfleury, Tunis,Tunisia,1008","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056794813","display_name":"Mohamed Ali Cherni","orcid":"https://orcid.org/0000-0002-0736-9340"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Ali Cherni","raw_affiliation_strings":["Universite de Tunis,LR13 ES03 SIME, ENS IT,Montfleury, Tunis,Tunisia,1008"],"affiliations":[{"raw_affiliation_string":"Universite de Tunis,LR13 ES03 SIME, ENS IT,Montfleury, Tunis,Tunisia,1008","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061200301","display_name":"Moez Bouchouicha","orcid":"https://orcid.org/0000-0002-8174-6343"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I143002897","display_name":"Universit\u00e9 de Toulon","ror":"https://ror.org/02m9kbe37","country_code":"FR","type":"education","lineage":["https://openalex.org/I143002897"]},{"id":"https://openalex.org/I4210114274","display_name":"Laboratoire d\u2019Informatique et Syst\u00e8mes","ror":"https://ror.org/0257sgk90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I143002897","https://openalex.org/I21491767","https://openalex.org/I4210114274"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Moez Bouchouicha","raw_affiliation_strings":["Universite de Toulon, Aix Marseille Univ,CNRS, LIS,Toulon,France,83041"],"affiliations":[{"raw_affiliation_string":"Universite de Toulon, Aix Marseille Univ,CNRS, LIS,Toulon,France,83041","institution_ids":["https://openalex.org/I143002897","https://openalex.org/I4210114274","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007949063","display_name":"Mounir Sayadi","orcid":"https://orcid.org/0000-0003-4270-421X"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mounir Sayadi","raw_affiliation_strings":["Universite de Tunis,LR13 ES03 SIME, ENS IT,Montfleury, Tunis,Tunisia,1008"],"affiliations":[{"raw_affiliation_string":"Universite de Tunis,LR13 ES03 SIME, ENS IT,Montfleury, Tunis,Tunisia,1008","institution_ids":["https://openalex.org/I108714496"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086155446"],"corresponding_institution_ids":["https://openalex.org/I108714496","https://openalex.org/I8636806"],"apc_list":null,"apc_paid":null,"fwci":0.4512,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82652044,"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":"425","last_page":"430"},"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":0.9919000267982483,"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/T11317","display_name":"Fire dynamics and safety research","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7547662258148193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7105412483215332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5493790507316589},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5181983113288879},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5119925141334534},{"id":"https://openalex.org/keywords/smoke","display_name":"Smoke","score":0.5075768232345581},{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.501133918762207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.480103999376297},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4339962303638458},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42311999201774597},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4176110029220581},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4128144681453705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39877861738204956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3723199963569641},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30559635162353516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09083467721939087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7547662258148193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7105412483215332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5493790507316589},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5181983113288879},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5119925141334534},{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.5075768232345581},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.501133918762207},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.480103999376297},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4339962303638458},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42311999201774597},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4176110029220581},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4128144681453705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39877861738204956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3723199963569641},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30559635162353516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09083467721939087},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit55151.2022.9803928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit55151.2022.9803928","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.49000000953674316,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1996199746","https://openalex.org/W1999444201","https://openalex.org/W2017404693","https://openalex.org/W2027645937","https://openalex.org/W2052466191","https://openalex.org/W2073371483","https://openalex.org/W2115163664","https://openalex.org/W2128135082","https://openalex.org/W2146926380","https://openalex.org/W2192861466","https://openalex.org/W2571300184","https://openalex.org/W2609382435","https://openalex.org/W2611171851","https://openalex.org/W2767188972","https://openalex.org/W2791944441","https://openalex.org/W2938138252","https://openalex.org/W2939792156","https://openalex.org/W2960646647","https://openalex.org/W3120683583"],"related_works":["https://openalex.org/W3011074480","https://openalex.org/W2940977206","https://openalex.org/W2760085659","https://openalex.org/W3156786002","https://openalex.org/W2800691917","https://openalex.org/W2732542196","https://openalex.org/W564581980","https://openalex.org/W2969680539","https://openalex.org/W2774265021","https://openalex.org/W2767708349"],"abstract_inverted_index":{"Fires":[0],"have":[1],"become":[2],"a":[3,24,38,77,96,111,116],"more":[4],"serious":[5],"hazard":[6],"to":[7,28,95],"people's":[8],"lives,":[9],"property,":[10],"and":[11,47,68,87,91,131],"environment.":[12],"Compared":[13],"with":[14,41],"the":[15,30,52],"traditional":[16],"techniques":[17],"of":[18,32,79,118],"fire":[19,86,126],"detection,":[20],"image":[21],"technologies":[22],"play":[23],"very":[25],"promising":[26],"role":[27],"overcome":[29],"problem":[31],"high":[33],"false":[34],"alarm":[35],"rate.":[36],"However,":[37],"major":[39],"issue":[40],"these":[42],"methods":[43],"is":[44],"their":[45],"fastidious":[46],"long-time":[48],"generation.":[49],"In":[50],"fact,":[51],"implemented":[53],"algorithms":[54],"are":[55],"often":[56],"produced":[57],"using":[58],"multi-feature":[59],"technique,":[60],"including":[61],"chromatic":[62],"characteristics,":[63],"dynamic":[64],"features,":[65],"texture":[66],"features":[67],"contour":[69],"features.":[70],"Therefore,":[71],"we":[72,92,109],"provide,":[73],"in":[74],"this":[75],"paper,":[76],"study":[78],"some":[80],"supervised":[81],"machine":[82],"learning":[83],"algorithm":[84],"for":[85],"smoke":[88,129],"images":[89,120,130],"recognition,":[90],"compare":[93],"it":[94],"proposed":[97],"model":[98],"based":[99],"on":[100],"convolution":[101],"neural":[102],"network":[103],"(CNN)":[104],"algorithm.":[105],"To":[106],"do":[107],"this,":[108],"consider":[110],"proper":[112],"database":[113],"composed":[114],"by":[115],"total":[117],"28334":[119],"classified":[121],"into":[122],"three":[123],"categories:":[124],"7329":[125],"images,":[127],"9205":[128],"11800":[132],"other":[133],"images.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}