{"id":"https://openalex.org/W7131356830","doi":"https://doi.org/10.17706/jsw.21.1.1-13","title":"Fire Detection System Based on YOLOv5 with Attention Mechanism","display_name":"Fire Detection System Based on YOLOv5 with Attention Mechanism","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7131356830","doi":"https://doi.org/10.17706/jsw.21.1.1-13"},"language":null,"primary_location":{"id":"doi:10.17706/jsw.21.1.1-13","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.21.1.1-13","pdf_url":"https://www.jsoftware.us/vol21/JSW-V21N1-511.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jsoftware.us/vol21/JSW-V21N1-511.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126745754","display_name":"Ruoxi Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruoxi Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126756717","display_name":"Xiasheng Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiasheng Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126776378","display_name":"Yiming Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiming Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16289791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"1","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9779000282287598,"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":0.9779000282287598,"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.0017000000225380063,"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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.7106999754905701},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6043999791145325},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6032000184059143},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5882999897003174},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4788999855518341},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.444599986076355},{"id":"https://openalex.org/keywords/ideal","display_name":"Ideal (ethics)","score":0.4174000024795532},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4171999990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8956000208854675},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.7106999754905701},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6043999791145325},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6032000184059143},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5882999897003174},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4487999975681305},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.4174000024795532},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4090000092983246},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.40619999170303345},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.35010001063346863},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2930999994277954},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C122156500","wikidata":"https://www.wikidata.org/wiki/Q41399","display_name":"Fire protection","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.26820001006126404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2653999924659729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2515000104904175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jsw.21.1.1-13","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.21.1.1-13","pdf_url":"https://www.jsoftware.us/vol21/JSW-V21N1-511.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jsw.21.1.1-13","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.21.1.1-13","pdf_url":"https://www.jsoftware.us/vol21/JSW-V21N1-511.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8292983174324036}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322859","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7131356830.pdf","grobid_xml":"https://content.openalex.org/works/W7131356830.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,55,114],"increasing":[1],"frequency":[2],"of":[3,14,93,96,100,105],"fire":[4,37,126],"incidents":[5],"in":[6,80],"dense":[7],"urban":[8],"areas":[9],"has":[10],"highlighted":[11],"the":[12,87],"limitations":[13],"traditional":[15],"sensor-based":[16],"detection":[17,38,127],"systems,":[18],"such":[19],"as":[20],"delayed":[21],"response":[22],"and":[23,67,98],"high":[24,117],"false":[25],"alarm":[26],"rates.":[27],"To":[28],"address":[29],"these":[30],"challenges,":[31],"this":[32],"study":[33],"proposes":[34],"an":[35],"enhanced":[36],"algorithm":[39],"based":[40],"on":[41,77],"You":[42],"Only":[43],"Look":[44],"Once":[45],"Version":[46],"5":[47],"(YOLOv5),":[48],"incorporating":[49],"a":[50,91,103],"Squeeze-and-Excitation":[51],"(SE)":[52],"attention":[53],"mechanism.":[54],"SE":[56],"module":[57],"was":[58],"selected":[59],"for":[60,75,123],"its":[61,68],"effective":[62],"channel-wise":[63],"feature":[64],"recalibration":[65],"capability":[66],"minimal":[69],"computational":[70,118],"overhead,":[71],"making":[72],"it":[73],"ideal":[74],"deployment":[76],"edge":[78],"devices":[79],"real-time":[81,125],"scenarios.":[82],"Experimental":[83],"results":[84],"demonstrate":[85],"that":[86],"proposed":[88],"method":[89],"achieves":[90],"precision":[92],"0.87,":[94],"recall":[95],"0.86,":[97],"mAP@0.5":[99],"0.91,":[101],"with":[102],"mAP@0.5:0.95":[104],"0.42,":[106],"indicating":[107],"robust":[108],"performance":[109],"under":[110],"stricter":[111],"evaluation":[112],"criteria.":[113],"model":[115],"maintains":[116],"efficiency,":[119],"exhibiting":[120],"strong":[121],"potential":[122],"practical,":[124],"applications.":[128]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-25T00:00:00"}
