{"id":"https://openalex.org/W4327521088","doi":"https://doi.org/10.1145/3573428.3573724","title":"Improved YOLOv5 lightweight grassland smoke detection algorithm","display_name":"Improved YOLOv5 lightweight grassland smoke detection algorithm","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327521088","doi":"https://doi.org/10.1145/3573428.3573724"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","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/A5088941098","display_name":"Jiaxin Su","orcid":"https://orcid.org/0000-0002-8047-3099"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxin Su","raw_affiliation_strings":["College of Information Engineering, Inner Mongolia University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Inner Mongolia University of Technology, China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101763777","display_name":"Zhiqiang Liu","orcid":"https://orcid.org/0000-0002-8057-6717"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Liu","raw_affiliation_strings":["College of Information Engineering, Inner Mongolia University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Inner Mongolia University of Technology, China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026743466","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0001-7864-5210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["School of Architecture and Planning, Inner Mongolia Technical College of Construction, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Planning, Inner Mongolia Technical College of Construction, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079721206","display_name":"Wenjing Li","orcid":"https://orcid.org/0000-0003-0247-1650"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Li","raw_affiliation_strings":["College of Information Engineering, Inner Mongolia University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Inner Mongolia University of Technology, China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038089767","display_name":"Mixue Zhu","orcid":"https://orcid.org/0000-0002-5273-7851"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mixue Zhu","raw_affiliation_strings":["College of Information Engineering, Inner Mongolia University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Inner Mongolia University of Technology, China","institution_ids":["https://openalex.org/I55654194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088941098"],"corresponding_institution_ids":["https://openalex.org/I55654194"],"apc_list":null,"apc_paid":null,"fwci":0.3043,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57095576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1675","last_page":"1681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9693999886512756,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9214000105857849,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7058066129684448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5525366067886353},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5387095212936401},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5173425078392029},{"id":"https://openalex.org/keywords/smoke","display_name":"Smoke","score":0.5005409717559814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2541770935058594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12085908651351929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058066129684448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5525366067886353},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5387095212936401},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5173425078392029},{"id":"https://openalex.org/C58874564","wikidata":"https://www.wikidata.org/wiki/Q130768","display_name":"Smoke","level":2,"score":0.5005409717559814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2541770935058594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12085908651351929},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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":1,"locations":[{"id":"doi:10.1145/3573428.3573724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3109765335","https://openalex.org/W6600195515"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2328698228","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W830499452","https://openalex.org/W2073410048","https://openalex.org/W2353278981","https://openalex.org/W2390279801","https://openalex.org/W4288693901","https://openalex.org/W2382876515"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,27,63,70,77,86,93,98,105,109,123,127,134,161],"problems":[3],"of":[4,12,49,72,92,111,133,163],"low":[5],"detection":[6,17,90,144,165],"performance":[7],"and":[8,15,51,89,113,118,126,148],"large":[9],"memory":[10],"consumption":[11],"traditional":[13],"smoke":[14,101,142],"fire":[16],"methods":[18],"in":[19,39,145,153],"complex":[20],"scenes":[21,147],"such":[22],"as":[23],"grasslands.":[24],"Based":[25],"on":[26,97],"YOLOv5":[28,40],"model,":[29,125,136],"a":[30,46],"YOLOv5-GDE":[31],"optimization":[32],"model":[33,64,107,128],"is":[34,41,81,130,138],"proposed.":[35],"The":[36],"C3":[37],"module":[38],"replaced":[42,57],"by":[43,58,116],"GhostC3":[44],"with":[45,122,156],"smaller":[47],"number":[48,110],"parameters,":[50],"some":[52],"standard":[53],"convolution":[54],"blocks":[55],"are":[56],"depth-separable":[59],"convolutions":[60],"to":[61,68],"make":[62],"more":[65,139,149],"lightweight.":[66],"Finally,":[67],"solve":[69],"problem":[71],"unstable":[73],"target":[74,143],"regression":[75],"frame,":[76],"EIoU":[78],"loss":[79],"function":[80],"introduced,":[82],"which":[83,137],"effectively":[84],"improves":[85],"convergence":[87],"speed":[88],"accuracy":[91],"model.":[94],"Experimental":[95],"results":[96],"homemade":[99],"grassland":[100,146],"dataset":[102],"show":[103],"that":[104],"optimized":[106],"reduces":[108],"parameters":[112],"computational":[114,158],"effort":[115],"65.4%":[117],"65.8%,":[119],"respectively,":[120],"compared":[121],"original":[124,135],"size":[129],"only":[131],"36.8%":[132],"suitable":[140,150],"for":[141,151],"deployment":[152],"embedded":[154],"devices":[155],"limited":[157],"power,":[159],"under":[160],"premise":[162],"ensuring":[164],"accuracy.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
