{"id":"https://openalex.org/W4406164022","doi":"https://doi.org/10.1109/mlbdbi63974.2024.10823714","title":"Research on the Detection Method for Early Fire Based on YOLOv5m Optimization Model","display_name":"Research on the Detection Method for Early Fire Based on YOLOv5m Optimization Model","publication_year":2024,"publication_date":"2024-11-01","ids":{"openalex":"https://openalex.org/W4406164022","doi":"https://doi.org/10.1109/mlbdbi63974.2024.10823714"},"language":"en","primary_location":{"id":"doi:10.1109/mlbdbi63974.2024.10823714","doi":"https://doi.org/10.1109/mlbdbi63974.2024.10823714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlbdbi63974.2024.10823714","pdf_url":null,"source":{"id":"https://openalex.org/S4363608198","display_name":"International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 6th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)","raw_type":"proceedings-article"},"volume":null,"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/A5101706402","display_name":"Zongyi Zhang","orcid":"https://orcid.org/0000-0002-5576-4118","observed_orcids":["https://orcid.org/0000-0002-5576-4118"]},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyi Zhang","raw_affiliation_strings":["College of Mechanical Engineering, Tianjin University of Technology and Education,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Tianjin University of Technology and Education,Tianjin,China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103072790","display_name":"Shihai Zhang","orcid":"https://orcid.org/0000-0002-7725-4493","observed_orcids":["https://orcid.org/0000-0002-7725-4493"]},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihai Zhang","raw_affiliation_strings":["College of Mechanical Engineering, Tianjin University of Technology and Education,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Tianjin University of Technology and Education,Tianjin,China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057089523","display_name":"Chongnian Qu","orcid":"https://orcid.org/0000-0002-5660-8475","observed_orcids":["https://orcid.org/0000-0002-5660-8475"]},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongnian Qu","raw_affiliation_strings":["College of Mechanical Engineering, Tianjin University of Technology and Education,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Tianjin University of Technology and Education,Tianjin,China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075704897","display_name":"Zhenghua Wang","orcid":"https://orcid.org/0000-0002-1073-8055","observed_orcids":["https://orcid.org/0000-0002-1073-8055"]},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghua Wang","raw_affiliation_strings":["College of Mechanical Engineering, Tianjin University of Technology and Education,Tianjin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Tianjin University of Technology and Education,Tianjin,China","institution_ids":["https://openalex.org/I133270356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133270356"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45570202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9990000128746033,"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":0.9990000128746033,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0007999999797903001,"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":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/early-fire-detection","display_name":"early fire detection","score":0.9909999966621399},{"id":"https://openalex.org/keywords/flame-detection","display_name":"flame detection","score":0.8460000157356262},{"id":"https://openalex.org/keywords/smoke-detection","display_name":"smoke detection","score":1.0},{"id":"https://openalex.org/keywords/yolov5m","display_name":"YOLOv5m","score":0.9480000138282776},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.7749999761581421},{"id":"https://openalex.org/keywords/depthwise-separable-convolution","display_name":"depthwise separable convolution","score":0.8410000205039978},{"id":"https://openalex.org/keywords/lightweight-models","display_name":"lightweight models","score":0.6700000166893005},{"id":"https://openalex.org/keywords/ciou-loss","display_name":"CIoU loss","score":0.8460000157356262},{"id":"https://openalex.org/keywords/fire-monitoring","display_name":"fire monitoring","score":0.6039999723434448},{"id":"https://openalex.org/keywords/bounding-box-regression","display_name":"bounding box regression","score":0.6589999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6113579273223877}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlbdbi63974.2024.10823714","doi":"https://doi.org/10.1109/mlbdbi63974.2024.10823714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlbdbi63974.2024.10823714","pdf_url":null,"source":{"id":"https://openalex.org/S4363608198","display_name":"International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2024 6th International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Affordable and clean energy","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W4380592214","https://openalex.org/W4385877180","https://openalex.org/W4400212440","https://openalex.org/W4400352280","https://openalex.org/W4404954460"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Due":[0],"to":[1,29,55,64],"the":[2,11,15,23,30,40,57,62,65,74,81,85,91,97,103,109,117,121,128,144,150,163,167],"extensive":[3],"application":[4],"of":[5,14,34,61,67,84,114,127,143,154,166],"vision":[6],"in":[7],"fir":[8],"e":[9],"monitoring,":[10],"optimization":[12,145],"method":[13,146],"YOLOV5m":[16,51,155],"mo":[17],"del":[18],"is":[19,46,88,99,147],"researched":[20],"for":[21,133],"detecting":[22],"early":[24,35],"fire":[25,36],"accidents":[26],"accor":[27],"ding":[28],"flame":[31,68,134],"and":[32,69,71,96,124,135,158,162],"smoke":[33,136],"are":[37,138],"taken":[38],"as":[39],"detection":[41,105],"targets.":[42],"Sa":[43],"attention":[44],"mechanism":[45],"introduced":[47],"into":[48],"t":[49],"he":[50],"model":[52,63,87,98,104,156],"backbone":[53],"network":[54],"improve":[56],"lear":[58],"ning":[59],"ability":[60],"characteristics":[66],"smoke,":[70],"then":[72],"suppress":[73],"background":[75],"interference":[76],"infor":[77],"mation":[78],"meanwhile.":[79],"Furthermore,":[80],"standard":[82],"convolution":[83],"original":[86],"replaced":[89],"by":[90,149],"deep":[92],"separable":[93],"convol":[94],"ution,":[95],"lightweighted":[100],"while":[101],"maintaining":[102],"performance.":[106],"By":[107],"replacing":[108],"CIOU":[110],"loss":[111,119],"fu":[112],"nction":[113],"Yolov5m":[115],"with":[116,171],"alpha-EIOU":[118],"function,":[120],"q":[122],"uality":[123],"regression":[125],"precision":[126],"final":[129],"prediction":[130],"frame":[131],"work":[132],"targets":[137],"improved.":[139],"The":[140],"superi":[141],"ority":[142],"verified":[148],"comparis":[151],"on":[152],"experiment":[153,165],"before":[157],"after":[159],"optimiz":[160],"ation,":[161],"comparison":[164],"optimized":[168],"mode":[169],"1":[170],"other":[172],"typical":[173],"models.":[174]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}