{"id":"https://openalex.org/W4392982152","doi":"https://doi.org/10.1109/cvmi59935.2023.10464824","title":"An Emerging Fire Detection System based on Convolutional Neural Network and Aerial-Based Forest Fire Identification","display_name":"An Emerging Fire Detection System based on Convolutional Neural Network and Aerial-Based Forest Fire Identification","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4392982152","doi":"https://doi.org/10.1109/cvmi59935.2023.10464824"},"language":"en","primary_location":{"id":"doi:10.1109/cvmi59935.2023.10464824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi59935.2023.10464824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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/A5108145784","display_name":"Akanksha Goel","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Akanksha Goel","raw_affiliation_strings":["DYPSST, Tathawade,Pune,India","DYPSST, Tathawade, Pune, India"],"affiliations":[{"raw_affiliation_string":"DYPSST, Tathawade,Pune,India","institution_ids":[]},{"raw_affiliation_string":"DYPSST, Tathawade, Pune, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014492796","display_name":"Manisha Bhende","orcid":"https://orcid.org/0000-0003-2407-8091"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manisha Bhende","raw_affiliation_strings":["DYPSST, Tathawade,Pune,India","DYPSST, Tathawade, Pune, India"],"affiliations":[{"raw_affiliation_string":"DYPSST, Tathawade,Pune,India","institution_ids":[]},{"raw_affiliation_string":"DYPSST, Tathawade, Pune, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070245984","display_name":"Mily Lal","orcid":"https://orcid.org/0000-0002-6957-1659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mily Lal","raw_affiliation_strings":["DYPSST, Tathawade,Pune,India","DYPSST, Tathawade, Pune, India"],"affiliations":[{"raw_affiliation_string":"DYPSST, Tathawade,Pune,India","institution_ids":[]},{"raw_affiliation_string":"DYPSST, Tathawade, Pune, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007364952","display_name":"Abha Pathak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abha Pathak","raw_affiliation_strings":["DYPSST, Tathawade,Pune,India","DYPSST, Tathawade, Pune, India"],"affiliations":[{"raw_affiliation_string":"DYPSST, Tathawade,Pune,India","institution_ids":[]},{"raw_affiliation_string":"DYPSST, Tathawade, Pune, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094198887","display_name":"Poi Tamrakar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Poi Tamrakar","raw_affiliation_strings":["DYPSST, Tathawade,Pune,India","DYPSST, Tathawade, Pune, India"],"affiliations":[{"raw_affiliation_string":"DYPSST, Tathawade,Pune,India","institution_ids":[]},{"raw_affiliation_string":"DYPSST, Tathawade, Pune, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029427627","display_name":"Pallavi Thorat","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pallavi Thorat","raw_affiliation_strings":["DYPSST, Tathawade,Pune,India","DYPSST, Tathawade, Pune, India"],"affiliations":[{"raw_affiliation_string":"DYPSST, Tathawade,Pune,India","institution_ids":[]},{"raw_affiliation_string":"DYPSST, Tathawade, Pune, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100349675","display_name":"Swati Sharma","orcid":"https://orcid.org/0000-0002-3665-4079"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swati Sharma","raw_affiliation_strings":["DYPSST, Tathawade,Pune,India","DYPSST, Tathawade, Pune, India"],"affiliations":[{"raw_affiliation_string":"DYPSST, Tathawade,Pune,India","institution_ids":[]},{"raw_affiliation_string":"DYPSST, Tathawade, Pune, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5108145784"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0378,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75596144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.8759999871253967,"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":0.8759999871253967,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.7569000124931335,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.7295141220092773},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7138124704360962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629524827003479},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5344029664993286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48352742195129395},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4218906760215759},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3925255537033081},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3245702385902405},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13792762160301208},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13095006346702576},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08593606948852539},{"id":"https://openalex.org/keywords/architectural-engineering","display_name":"Architectural engineering","score":0.08468079566955566}],"concepts":[{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.7295141220092773},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7138124704360962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629524827003479},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5344029664993286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48352742195129395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4218906760215759},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3925255537033081},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3245702385902405},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13792762160301208},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13095006346702576},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08593606948852539},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.08468079566955566},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi59935.2023.10464824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi59935.2023.10464824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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":10,"referenced_works":["https://openalex.org/W1607232833","https://openalex.org/W1817442364","https://openalex.org/W2057778544","https://openalex.org/W2062379542","https://openalex.org/W2162674104","https://openalex.org/W2339505599","https://openalex.org/W2548815386","https://openalex.org/W2977241301","https://openalex.org/W2989738623","https://openalex.org/W6730465338"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2358832620","https://openalex.org/W2381458399","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W1972058229","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820"],"abstract_inverted_index":{"Accidents":[0],"caused":[1],"by":[2,71],"undiscovered":[3],"fires":[4,86],"have":[5,28],"resulted":[6],"in":[7,116,156],"substantial":[8],"financial":[9],"losses":[10],"around":[11],"the":[12,15,32,65,123,126,138,159],"world,":[13],"emphasizing":[14],"critical":[16],"need":[17],"for":[18,148],"robust":[19],"fire":[20,24,50,55,69,77,103,112,119,139,162],"detection":[21,51,61,70,78,113,140],"systems.":[22],"Existing":[23],"and":[25,58,62,93,131,151],"smoke":[26],"detectors":[27],"demonstrated":[29],"inefficiencies,":[30],"forcing":[31],"development":[33],"of":[34,98,158,161],"more":[35],"sophisticated":[36],"alternatives.":[37],"Based":[38],"on":[39,88,101],"Convolutional":[40],"Neural":[41],"Network":[42],"(CNN)":[43],"technology,":[44],"this":[45],"research":[46],"provides":[47],"a":[48,102,132],"novel":[49],"system.":[52],"By":[53],"researching":[54],"flame":[56],"features":[57],"utilising":[59],"edge":[60],"thresholding":[63],"algorithms,":[64],"system":[66,145],"accomplishes":[67],"real-time":[68,117],"analyzing":[72],"live":[73],"camera":[74],"data.":[75],"A":[76,142],"model":[79,100],"is":[80,146],"developed":[81],"that":[82,105],"can":[83],"detect":[84],"dangerous":[85],"based":[87],"their":[89],"size,":[90],"velocity,":[91],"volume,":[92],"texture.":[94],"The":[95],"experimental":[96],"findings":[97],"our":[99],"dataset":[104],"we":[106],"created":[107],"ourselves":[108],"show":[109],"its":[110],"strong":[111],"capability,":[114],"especially":[115],"multi-scale":[118,144],"detection.":[120,163],"We":[121],"use":[122],"YOLOv4":[124],"protocol,":[125],"Darknet":[127],"deep":[128],"learning":[129],"framework,":[130],"new":[133],"network":[134],"topology":[135],"to":[136],"build":[137],"model.":[141],"large-scale,":[143],"used":[147],"extensive":[149],"training":[150],"testing,":[152],"outperforming":[153],"previous":[154],"methods":[155],"terms":[157],"accuracy":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
