{"id":"https://openalex.org/W4410815315","doi":"https://doi.org/10.1186/s40537-025-01211-9","title":"Vision-based detection algorithm for monitoring dynamic change of fire progression","display_name":"Vision-based detection algorithm for monitoring dynamic change of fire progression","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4410815315","doi":"https://doi.org/10.1186/s40537-025-01211-9"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01211-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01211-9","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01211-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01211-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005752335","display_name":"Yongyoon Suh","orcid":"https://orcid.org/0000-0002-5493-5405"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yongyoon Suh","raw_affiliation_strings":["Department of Industrial & Systems Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial & Systems Engineering, Dongguk University, 30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005752335"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.3634,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87354439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"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/T11317","display_name":"Fire dynamics and safety research","score":0.9900000095367432,"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/T10555","display_name":"Fire effects on ecosystems","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.765974760055542},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.5675066709518433},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4725075662136078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3701000213623047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3023574948310852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.765974760055542},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.5675066709518433},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4725075662136078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3701000213623047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3023574948310852}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01211-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01211-9","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01211-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:16a8d4bb4a1a4f5684e63f3dea87cbc0","is_oa":true,"landing_page_url":"https://doaj.org/article/16a8d4bb4a1a4f5684e63f3dea87cbc0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 12, Iss 1, Pp 1-19 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01211-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01211-9","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01211-9","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7177093006","display_name":null,"funder_award_id":"NRF-2020R1C1C1007302","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7348172863","display_name":null,"funder_award_id":"NRF-2020R1C1C","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G982292920","display_name":null,"funder_award_id":"NRF-20","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410815315.pdf","grobid_xml":"https://content.openalex.org/works/W4410815315.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1989464636","https://openalex.org/W2005201982","https://openalex.org/W2791697444","https://openalex.org/W2793947836","https://openalex.org/W2908995882","https://openalex.org/W2939792156","https://openalex.org/W2975077293","https://openalex.org/W2975229532","https://openalex.org/W2994747766","https://openalex.org/W3021501576","https://openalex.org/W3022122362","https://openalex.org/W3036110345","https://openalex.org/W3037745614","https://openalex.org/W3080779550","https://openalex.org/W3081977080","https://openalex.org/W3115999170","https://openalex.org/W3133679620","https://openalex.org/W3135145039","https://openalex.org/W3208697304","https://openalex.org/W4205231989","https://openalex.org/W4210916060","https://openalex.org/W4211019953","https://openalex.org/W4212805057","https://openalex.org/W4213014551","https://openalex.org/W4224930816","https://openalex.org/W4293660432","https://openalex.org/W4311089311","https://openalex.org/W4312054939","https://openalex.org/W4377141775","https://openalex.org/W4392044348","https://openalex.org/W4392883607"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Fire":[0],"incidents":[1,124],"in":[2,7],"industrial":[3,23,111,129],"settings":[4],"often":[5],"result":[6],"hundreds":[8],"of":[9,22,45,57,122],"worker":[10],"fatalities,":[11],"severe":[12],"injuries,":[13],"and":[14,82,97,115,125,141,150],"substantial":[15],"financial":[16],"losses.":[17],"To":[18,60],"minimize":[19],"the":[20],"impact":[21],"fire":[24,36,46,58,76,91,103,116,123,143,148],"accidents,":[25],"it":[26],"is":[27,72],"essential":[28],"to":[29,35,41,48,54,74,89,101,146],"establish":[30],"response":[31,152],"strategies":[32],"that":[33,52],"adapt":[34],"progression.":[37],"This":[38,131],"study":[39],"aims":[40],"define":[42],"vision-based":[43,79,132],"patterns":[44],"events":[47,77],"identify":[49],"multiple":[50,87],"objects":[51,88],"contribute":[53],"different":[55],"types":[56],"accidents.":[59],"achieve":[61],"this,":[62],"a":[63,135],"convolutional":[64],"neural":[65],"network":[66],"(CNN)":[67],"based":[68],"on":[69],"deep":[70],"learning":[71],"applied":[73],"detect":[75],"through":[78],"patterns.":[80],"Flames":[81],"smoke":[83],"are":[84,99],"trained":[85],"as":[86],"recognize":[90],"event":[92],"patterns,":[93],"while":[94],"their":[95,120,126],"size":[96],"position":[98],"visualized":[100],"assess":[102],"severity.":[104],"The":[105],"results":[106],"offer":[107],"valuable":[108],"insights":[109],"for":[110,139],"supervisors,":[112],"academic":[113],"researchers,":[114],"accident":[117],"investigators,":[118],"enhancing":[119],"understanding":[121],"progression":[127],"within":[128],"environments.":[130],"approach":[133],"provides":[134],"more":[136],"effective":[137],"method":[138],"detecting":[140],"forecasting":[142],"development,":[144],"contributing":[145],"improved":[147],"safety":[149],"emergency":[151],"strategies.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
