{"id":"https://openalex.org/W4387494299","doi":"https://doi.org/10.3233/aic-230094","title":"Conflagration-YOLO: a lightweight object detection architecture for conflagration","display_name":"Conflagration-YOLO: a lightweight object detection architecture for conflagration","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4387494299","doi":"https://doi.org/10.3233/aic-230094"},"language":"en","primary_location":{"id":"doi:10.3233/aic-230094","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-230094","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-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/A5041345011","display_name":"Ning Sun","orcid":"https://orcid.org/0000-0002-6907-3756"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ning Sun","raw_affiliation_strings":["School of Automation, Wuxi University, Wuxi 214105, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Wuxi University, Wuxi 214105, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049572642","display_name":"Pengfei Shen","orcid":"https://orcid.org/0000-0003-1609-3099"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengfei Shen","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049572642","display_name":"Pengfei Shen","orcid":"https://orcid.org/0000-0003-1609-3099"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Shen","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045932652","display_name":"Xiaoling Ye","orcid":"https://orcid.org/0000-0002-1628-2060"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoling Ye","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","School of Automation, Wuxi University, Wuxi 214105, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Automation, Wuxi University, Wuxi 214105, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045932652","display_name":"Xiaoling Ye","orcid":"https://orcid.org/0000-0002-1628-2060"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I4210099470","display_name":"Shanghai Fire Research Institute","ror":"https://ror.org/00hvq0c10","country_code":"CN","type":"facility","lineage":["https://openalex.org/I1302611135","https://openalex.org/I4210099470"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Ye","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","Fire and Rescue Detachment, Wuxi, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Fire and Rescue Detachment, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I4210099470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000707990","display_name":"Yifei Chen","orcid":"https://orcid.org/0000-0003-1234-9966"},"institutions":[{"id":"https://openalex.org/I4210099470","display_name":"Shanghai Fire Research Institute","ror":"https://ror.org/00hvq0c10","country_code":"CN","type":"facility","lineage":["https://openalex.org/I1302611135","https://openalex.org/I4210099470"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Chen","raw_affiliation_strings":["School of Automation, Wuxi University, Wuxi 214105, China","Fire Research Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Wuxi University, Wuxi 214105, China","institution_ids":[]},{"raw_affiliation_string":"Fire Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210099470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000707990","display_name":"Yifei Chen","orcid":"https://orcid.org/0000-0003-1234-9966"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Chen","raw_affiliation_strings":["School of Automation, Wuxi University, Wuxi 214105, China","School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Wuxi University, Wuxi 214105, China","institution_ids":[]},{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiping Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099470","display_name":"Shanghai Fire Research Institute","ror":"https://ror.org/00hvq0c10","country_code":"CN","type":"facility","lineage":["https://openalex.org/I1302611135","https://openalex.org/I4210099470"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiping Cheng","raw_affiliation_strings":["Fire and Rescue Detachment, Wuxi, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Fire and Rescue Detachment, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I4210099470"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiping Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099470","display_name":"Shanghai Fire Research Institute","ror":"https://ror.org/00hvq0c10","country_code":"CN","type":"facility","lineage":["https://openalex.org/I1302611135","https://openalex.org/I4210099470"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiping Cheng","raw_affiliation_strings":["Fire and Rescue Detachment, Wuxi, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Fire and Rescue Detachment, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I4210099470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754146","display_name":"Pingping Wang","orcid":"https://orcid.org/0000-0003-3026-9038"},"institutions":[{"id":"https://openalex.org/I4210099470","display_name":"Shanghai Fire Research Institute","ror":"https://ror.org/00hvq0c10","country_code":"CN","type":"facility","lineage":["https://openalex.org/I1302611135","https://openalex.org/I4210099470"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingping Wang","raw_affiliation_strings":["Fire Research Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fire Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210099470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754146","display_name":"Pingping Wang","orcid":"https://orcid.org/0000-0003-3026-9038"},"institutions":[{"id":"https://openalex.org/I4210099470","display_name":"Shanghai Fire Research Institute","ror":"https://ror.org/00hvq0c10","country_code":"CN","type":"facility","lineage":["https://openalex.org/I1302611135","https://openalex.org/I4210099470"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pingping Wang","raw_affiliation_strings":["Fire Research Institute, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fire Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210099470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039034384","display_name":"Jie Min","orcid":"https://orcid.org/0000-0003-0447-3764"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Min","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039034384","display_name":"Jie Min","orcid":"https://orcid.org/0000-0003-0447-3764"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Min","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5000707990","https://openalex.org/A5039034384","https://openalex.org/A5041345011","https://openalex.org/A5045932652","https://openalex.org/A5049572642","https://openalex.org/A5100754146"],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I4210099470"],"apc_list":null,"apc_paid":null,"fwci":0.7964,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7057903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"36","issue":"4","first_page":"361","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9934999942779541,"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":0.9706000089645386,"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/inference","display_name":"Inference","score":0.7955994606018066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760260283946991},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.582101583480835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5024070739746094},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4773414433002472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47069883346557617},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4626055657863617},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.44104355573654175},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41800421476364136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3252035975456238},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20781412720680237}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7955994606018066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760260283946991},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.582101583480835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5024070739746094},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4773414433002472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47069883346557617},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4626055657863617},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.44104355573654175},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41800421476364136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3252035975456238},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20781412720680237},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.3233/aic-230094","is_oa":false,"landing_page_url":"https://doi.org/10.3233/aic-230094","pdf_url":null,"source":{"id":"https://openalex.org/S176303223","display_name":"AI Communications","issn_l":"0921-7126","issn":["0921-7126","1875-8452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AI Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1575260976","https://openalex.org/W1622676895","https://openalex.org/W1659842140","https://openalex.org/W1667249920","https://openalex.org/W1677182931","https://openalex.org/W2015259196","https://openalex.org/W2073817609","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2586306118","https://openalex.org/W2752782242","https://openalex.org/W2913277259","https://openalex.org/W2962834855","https://openalex.org/W2962958489","https://openalex.org/W2963068450","https://openalex.org/W2963163009","https://openalex.org/W2982083293","https://openalex.org/W3010290849","https://openalex.org/W3010436239","https://openalex.org/W3035414587","https://openalex.org/W3092500281","https://openalex.org/W3177004549","https://openalex.org/W3180134609","https://openalex.org/W3204445636","https://openalex.org/W4224297527","https://openalex.org/W4285596547","https://openalex.org/W4286005847","https://openalex.org/W4286433454","https://openalex.org/W4311791857","https://openalex.org/W4312725970"],"related_works":["https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2964954556","https://openalex.org/W2381332051","https://openalex.org/W3019910406","https://openalex.org/W2321443665","https://openalex.org/W2375699995","https://openalex.org/W2043719711"],"abstract_inverted_index":{"Fire":[0],"monitoring":[1],"of":[2,14,20,63,83,91,117,141,157,182,205,227,234,245,269],"fire-prone":[3],"areas":[4],"is":[5,35,77,108,184,195,238],"essential,":[6],"and":[7,17,24,41,65,67,98,105,146,167,191,215,231,236,255,267,282],"in":[8,179,296],"order":[9],"to":[10,44,79,272,289],"meet":[11],"the":[12,18,55,81,88,92,111,118,135,139,148,155,177,180,192,203,225,232,243,265,273],"requirements":[13],"edge":[15],"deployment":[16],"balance":[19,62,233],"fire":[21,30,45,84,103,106],"recognition":[22,31,85],"accuracy":[23,64,82,235],"speed,":[25,66],"we":[26],"design":[27],"a":[28,50,61,73,101,125],"lightweight":[29],"network,":[32],"Conflagration-YOLO.":[33],"Conflagration-YOLO":[34,270],"constructed":[36],"by":[37,143,150,160,165,171,188,197,208,213,219,248,253,259],"depthwise":[38],"separable":[39],"convolution":[40],"more":[42],"attention":[43],"feature":[46,57],"information":[47],"extraction":[48,58],"from":[49],"three-dimensional(3D)":[51],"perspective,":[52],"which":[53,123],"improves":[54,147],"network":[56,276],"capability,":[59],"achieves":[60],"reduces":[68],"model":[69,120,137,281],"parameters.":[70],"In":[71],"addition,":[72],"new":[74],"activation":[75],"function":[76],"used":[78],"improve":[80],"while":[86],"minimizing":[87],"inference":[89,107,168,193,216,256],"time":[90,169,194,217,257],"network.":[93],"All":[94],"models":[95],"are":[96],"trained":[97],"validated":[99],"on":[100,110],"custom":[102],"dataset":[104],"performed":[109],"CPU.":[112],"The":[113,262],"mean":[114],"Average":[115],"Precision(mAP)":[116],"proposed":[119,136,280],"reaches":[121],"80.92%,":[122],"has":[124],"great":[126],"advantage":[127],"compared":[128,271],"with":[129,133,153,175,201,223,241],"Faster":[130],"R-CNN.":[131],"Compared":[132,152,174,200,222,240],"YOLOv3-Tiny,":[134],"decreases":[138,159,170,207,218,229,247,258],"number":[140,156,181,204,226,244],"parameters":[142,158,183,206,228,246],"5.71":[144],"M":[145,190],"mAP":[149,163,211,251],"6.67%.":[151],"YOLOv4-Tiny,":[154],"3.54":[161],"M,":[162,210,250],"increases":[164,212,252],"8.47%,":[166],"62.59":[172],"ms.":[173,199,221,261],"YOLOv5s,":[176],"difference":[178],"nearly":[185],"twice":[186],"reduced":[187,196],"4.45":[189],"41.87":[198],"YOLOX-Tiny,":[202],"2.5":[209],"0.7%,":[214],"102.49":[220],"YOLOv7,":[224],"significantly":[230],"speed":[237],"achieved.":[239],"YOLOv7-Tiny,":[242],"3.64":[249],"0.5%,":[254],"15.65":[260],"experiment":[263],"verifies":[264],"superiority":[266],"effectiveness":[268],"state-of-the-art":[274],"(SOTA)":[275],"model.":[277],"Furthermore,":[278],"our":[279],"its":[283],"dimensional":[284],"variants":[285],"can":[286],"be":[287],"applied":[288],"computer":[290],"vision":[291],"downstream":[292],"target":[293],"detection":[294],"tasks":[295],"other":[297],"scenarios":[298],"as":[299],"required.":[300]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T06:03:46.269776","created_date":"2025-10-10T00:00:00"}