{"id":"https://openalex.org/W4361987258","doi":"https://doi.org/10.1109/access.2023.3263479","title":"Flame and Smoke Detection Algorithm Based on ODConvBS-YOLOv5s","display_name":"Flame and Smoke Detection Algorithm Based on ODConvBS-YOLOv5s","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4361987258","doi":"https://doi.org/10.1109/access.2023.3263479"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3263479","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3263479","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10089408.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10089408.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035506103","display_name":"Jingrun Ma","orcid":"https://orcid.org/0000-0002-8156-7265"},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingrun Ma","raw_affiliation_strings":["Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-8156-7265","affiliations":[{"raw_affiliation_string":"Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China","institution_ids":["https://openalex.org/I4210153869"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693502","display_name":"Zhengwei Zhang","orcid":"https://orcid.org/0000-0002-3207-0586"},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengwei Zhang","raw_affiliation_strings":["Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-3207-0586","affiliations":[{"raw_affiliation_string":"Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China","institution_ids":["https://openalex.org/I4210153869"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053218924","display_name":"Weien Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weien Xiao","raw_affiliation_strings":["Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China","institution_ids":["https://openalex.org/I4210153869"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023465230","display_name":"XinLei Zhang","orcid":"https://orcid.org/0000-0002-9713-7630"},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlei Zhang","raw_affiliation_strings":["Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China","institution_ids":["https://openalex.org/I4210153869"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013912532","display_name":"Shaozhang Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153869","display_name":"Huaiyin Institute of Technology","ror":"https://ror.org/0555ezg60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153869"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozhang Xiao","raw_affiliation_strings":["Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China","institution_ids":["https://openalex.org/I4210153869"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035506103"],"corresponding_institution_ids":["https://openalex.org/I4210153869"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5185,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92342727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"34005","last_page":"34014"},"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":0.9861000180244446,"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":0.9794999957084656,"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":0.6700419783592224},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5769686698913574},{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.5704301595687866},{"id":"https://openalex.org/keywords/smoke","display_name":"Smoke","score":0.5366707444190979},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.536501407623291},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5119680166244507},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47431111335754395},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4676831364631653},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45200979709625244},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4224143624305725},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41479745507240295},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.4141077697277069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30113983154296875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19205692410469055},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10962492227554321},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09147006273269653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700419783592224},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5769686698913574},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.5704301595687866},{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.5366707444190979},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.536501407623291},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5119680166244507},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47431111335754395},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4676831364631653},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45200979709625244},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4224143624305725},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41479745507240295},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.4141077697277069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30113983154296875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19205692410469055},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10962492227554321},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09147006273269653},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3263479","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3263479","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10089408.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b2ce57fc27744cbc84b81e55f477e850","is_oa":true,"landing_page_url":"https://doaj.org/article/b2ce57fc27744cbc84b81e55f477e850","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 34005-34014 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3263479","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3263479","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10089408.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7686959407","display_name":null,"funder_award_id":"2020B1212060078","funder_id":"https://openalex.org/F4320329883","funder_display_name":"Guangdong Province Key Laboratory of Information Security Technology"}],"funders":[{"id":"https://openalex.org/F4320329883","display_name":"Guangdong Province Key Laboratory of Information Security Technology","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4361987258.pdf","grobid_xml":"https://content.openalex.org/works/W4361987258.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2017404693","https://openalex.org/W2565639579","https://openalex.org/W2883780447","https://openalex.org/W2884367402","https://openalex.org/W2919981789","https://openalex.org/W2963645879","https://openalex.org/W3001083904","https://openalex.org/W3012420847","https://openalex.org/W3100742769","https://openalex.org/W3117369113","https://openalex.org/W3158505286","https://openalex.org/W3162418282","https://openalex.org/W3164820509","https://openalex.org/W3177190797","https://openalex.org/W3194790201","https://openalex.org/W3208697304","https://openalex.org/W4200555195","https://openalex.org/W4205785826","https://openalex.org/W4206133447","https://openalex.org/W4210314824","https://openalex.org/W4214572612","https://openalex.org/W4214700196","https://openalex.org/W4220717399","https://openalex.org/W4221061209","https://openalex.org/W4281790833","https://openalex.org/W4288804646","https://openalex.org/W4293584584","https://openalex.org/W4296412923","https://openalex.org/W4297537745","https://openalex.org/W4312183515","https://openalex.org/W6714138976","https://openalex.org/W6750227808","https://openalex.org/W6840866624","https://openalex.org/W6843259600"],"related_works":["https://openalex.org/W2999380063","https://openalex.org/W2392528038","https://openalex.org/W2995343971","https://openalex.org/W2982536526","https://openalex.org/W2015259196","https://openalex.org/W4386447087","https://openalex.org/W2992221004","https://openalex.org/W2770974135","https://openalex.org/W2803990755","https://openalex.org/W2373782842"],"abstract_inverted_index":{"Real-time":[0],"and":[1,6,26,40,153,171,175],"accurate":[2],"detection":[3,28,38,42,54,177],"of":[4,44,77,80,109,115,118,136],"flame":[5,25,52,152],"smoke":[7,27,53,154],"is":[8,69,86,104,141],"an":[9],"important":[10],"prerequisite":[11],"to":[12,73,90,111,143,180],"reduce":[13],"the":[14,61,65,75,81,92,100,107,113,123,126,134,137,150,157,165,168,172,176],"loss":[15,128],"caused":[16],"by":[17,71,163],"fire.":[18],"There":[19],"exists":[20],"some":[21],"problems":[22],"in":[23,60,122],"traditional":[24],"algorithm,":[29],"such":[30],"as":[31],"low":[32,37,41],"accuracy,":[33],"high":[34],"miss":[35],"rate,":[36],"efficiency":[39],"rate":[43,170,174],"small":[45],"targets.":[46],"This":[47],"paper":[48],"proposes":[49],"a":[50],"YOLOv5s":[51,62,159],"algorithm":[55],"based":[56],"on":[57],"ODConvBS.":[58],"Firstly,":[59],"backbone":[63],"network,":[64],"ordinary":[66],"convolution":[67,82],"block":[68],"replaced":[70],"ODConvBS":[72],"realize":[74],"extraction":[76,97],"attention":[78],"features":[79],"kernel;":[83],"Secondly,":[84],"Gnconv":[85],"introduced":[87],"into":[88],"Neck":[89,110],"improve":[91],"model\u2019s":[93],"high-order":[94],"spatial":[95],"information":[96],"ability;":[98],"then":[99],"Shuffle":[101],"Attention":[102],"module":[103],"added":[105],"at":[106],"end":[108],"facilitate":[112],"fusion":[114],"different":[116],"groups":[117],"features;":[119],"At":[120],"last,":[121],"prediction":[124,138],"section,":[125],"SIOU":[127],"function,":[129],"which":[130],"can":[131],"account":[132],"for":[133],"angle":[135],"frame":[139],"vector,":[140],"utilized":[142],"speed":[144,178],"up":[145],"model":[146,160],"convergence.":[147],"When":[148],"utilizing":[149],"self-made":[151],"data":[155],"set,":[156],"upgraded":[158],"mAP":[161],"grew":[162],"9.3%.At":[164],"same":[166],"time,":[167],"accuracy":[169],"recall":[173],"increased":[179],"83.5%,":[181],"83.7%,":[182],"33.3FPS":[183],"respectively.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}