{"id":"https://openalex.org/W4389403316","doi":"https://doi.org/10.1109/jiot.2023.3336931","title":"Toward Efficient Fire Detection in IoT Environment: A Modified Attention Network and Large-Scale Data Set","display_name":"Toward Efficient Fire Detection in IoT Environment: A Modified Attention Network and Large-Scale Data Set","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4389403316","doi":"https://doi.org/10.1109/jiot.2023.3336931"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3336931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3336931","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5016372759","display_name":"Naqqash Dilshad","orcid":"https://orcid.org/0000-0002-4319-6790"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Naqqash Dilshad","raw_affiliation_strings":["Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4319-6790","affiliations":[{"raw_affiliation_string":"Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003909640","display_name":"Samee U. Khan","orcid":"https://orcid.org/0000-0001-5640-4942"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Samee Ullah Khan","raw_affiliation_strings":["Department of Software, Sejong University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036220067","display_name":"Norah Saleh Alghamdi","orcid":"https://orcid.org/0000-0001-6421-6001"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Norah Saleh Alghamdi","raw_affiliation_strings":["Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia","Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-6421-6001","affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]},{"raw_affiliation_string":"Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087043869","display_name":"Tarik Taleb","orcid":"https://orcid.org/0000-0003-1119-1239"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]},{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI","KR"],"is_corresponding":false,"raw_author_name":"Tarik Taleb","raw_affiliation_strings":["Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea","University of Oulu, Oulu, Finland"],"raw_orcid":"https://orcid.org/0000-0003-1119-1239","affiliations":[{"raw_affiliation_string":"Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073827174","display_name":"JaeSeung Song","orcid":"https://orcid.org/0000-0002-2157-9651"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JaeSeung Song","raw_affiliation_strings":["Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-2157-9651","affiliations":[{"raw_affiliation_string":"Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8534,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.97053812,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":"8","first_page":"13467","last_page":"13481"},"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":0.9819999933242798,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9550999999046326,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.8898290395736694},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6809780597686768},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5752671957015991},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5568373203277588},{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.5085746049880981},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.506156861782074},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5023341178894043},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4953984022140503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46149715781211853},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45904654264450073},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4515751898288727},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4406135678291321},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4227329194545746},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4191572666168213},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3935220241546631},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.387604296207428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3776727020740509},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3235195279121399},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.19792968034744263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8898290395736694},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6809780597686768},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5752671957015991},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5568373203277588},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.5085746049880981},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.506156861782074},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5023341178894043},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4953984022140503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46149715781211853},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45904654264450073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4515751898288727},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4406135678291321},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4227329194545746},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4191572666168213},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3935220241546631},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.387604296207428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3776727020740509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3235195279121399},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.19792968034744263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3336931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3336931","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1909366555","https://openalex.org/W1996199746","https://openalex.org/W2011160765","https://openalex.org/W2111586857","https://openalex.org/W2126969789","https://openalex.org/W2152832849","https://openalex.org/W2156734067","https://openalex.org/W2603776936","https://openalex.org/W2620272145","https://openalex.org/W2736486815","https://openalex.org/W2741119099","https://openalex.org/W2771614335","https://openalex.org/W2781532698","https://openalex.org/W2897737571","https://openalex.org/W2914296386","https://openalex.org/W2938755482","https://openalex.org/W2961553857","https://openalex.org/W2969915407","https://openalex.org/W2976669726","https://openalex.org/W3020703583","https://openalex.org/W3039970217","https://openalex.org/W3053427166","https://openalex.org/W3121052081","https://openalex.org/W3159659024","https://openalex.org/W3183964584","https://openalex.org/W3197681207","https://openalex.org/W3198895189","https://openalex.org/W3208697304","https://openalex.org/W4200207938","https://openalex.org/W4293240934","https://openalex.org/W4296705332","https://openalex.org/W4297810817","https://openalex.org/W4319987537","https://openalex.org/W6753038380"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Advancements":[0],"in":[1,124],"deep":[2],"learning":[3],"and":[4,20,60,77,86,101,121,126,138,153,165,171,192],"the":[5,52,65,71,93,172],"Internet":[6],"of":[7],"Things":[8],"(IoT)":[9],"enable":[10],"early":[11],"fire":[12,54,62,110,132,150,184],"detection":[13,133,151,185],"through":[14],"vision-based":[15],"systems,":[16],"reducing":[17],"ecological,":[18],"social,":[19],"economic":[21],"damage.":[22],"These":[23],"systems":[24],"necessitate":[25],"lightweight,":[26],"cost-effective":[27],"convolutional":[28],"neural":[29],"networks":[30],"(CNNs)":[31],"for":[32,43,58,95,183],"real-time":[33,96],"operation.":[34],"Effective":[35],"deployment":[36],"on":[37],"AI-assisted":[38],"edge":[39,187],"devices":[40],"is":[41,112,144],"crucial":[42],"optimal":[44],"performance.":[45,198],"To":[46],"mitigate":[47],"this":[48],"problem,":[49],"we":[50,69],"present":[51],"optimized":[53],"attention":[55,67],"network":[56],"(OFAN)":[57],"effective":[59],"efficient":[61,102],"detection.":[63],"In":[64],"re-engineered":[66],"block,":[68],"swapped":[70],"convolution":[72],"layers":[73,81],"by":[74,135],"dilated":[75],"variants":[76],"integrated":[78],"additional":[79],"dense":[80],"to":[82],"capture":[83],"global":[84],"context":[85],"refine":[87],"more":[88],"weight":[89],"optimization.":[90],"We":[91],"calibrate":[92],"OFAN":[94,156,161],"processing":[97],"using":[98],"a":[99,108,113,181],"lightweight":[100],"feature":[103],"extractor":[104],"backbone":[105],"model.":[106],"Additionally,":[107],"challenging":[109],"dataset":[111],"critical":[114],"contribution":[115],"that":[116],"contains":[117],"extremely":[118],"diverse,":[119],"blazing,":[120],"non-fire,":[122],"captured":[123],"lighting":[125],"foggy":[127,139],"environments.":[128],"It":[129],"advances":[130],"traditional":[131],"samples":[134],"considering":[136],"low-light":[137],"conditions.":[140],"A":[141],"comprehensive":[142],"experiment":[143],"conducted":[145],"over":[146,168,186],"three":[147],"widely":[148],"used":[149],"datasets,":[152],"our":[154],"proposed":[155,160,174],"outperforms":[157],"state-of-the-art.":[158],"The":[159],"achieved":[162],"96.23%,":[163],"96.54%":[164],"94.63%":[166],"accuracies":[167],"BoWFire,":[169],"FD":[170],"newly":[173],"DiverseFire":[175],"dataset,":[176],"respectively.":[177],"Our":[178],"research":[179],"sets":[180],"standard":[182],"devices,":[188],"offering":[189],"improved":[190],"accuracy":[191],"better":[193],"frames":[194],"per":[195],"second":[196],"(FPS)":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":15}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}