{"id":"https://openalex.org/W4414816272","doi":"https://doi.org/10.32604/cmc.2025.067571","title":"Enhanced Fire Detection System for Blind and Visually Challenged People Using Artificial Intelligence with Deep Convolutional Neural Networks","display_name":"Enhanced Fire Detection System for Blind and Visually Challenged People Using Artificial Intelligence with Deep Convolutional Neural Networks","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414816272","doi":"https://doi.org/10.32604/cmc.2025.067571"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.067571","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067571","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.067571","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114544756","display_name":"Fahd N. Al-Wesabi","orcid":"https://orcid.org/0000-0001-7273-428X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fahd N. Al-Wesabi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hamad Almansour","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hamad Almansour","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038528470","display_name":"Huda G. Iskandar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huda G. Iskandar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021639521","display_name":"Ishfaq Yaseen","orcid":"https://orcid.org/0000-0002-6949-1122"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ishfaq Yaseen","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114544756"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1817,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82029376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"85","issue":"3","first_page":"5765","last_page":"5787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9912999868392944,"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":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fire-detection","display_name":"Fire detection","score":0.7408000230789185},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6104000210762024},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5439000129699707},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5299999713897705},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.499099999666214},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.36079999804496765},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.3450999855995178}],"concepts":[{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.7408000230789185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7002999782562256},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6104000210762024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.553600013256073},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5439000129699707},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5299999713897705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.450300008058548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36250001192092896},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3393999934196472},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C557531904","wikidata":"https://www.wikidata.org/wiki/Q897825","display_name":"Firefighting","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.067571","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067571","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.067571","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067571","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2768959465","https://openalex.org/W2911393084","https://openalex.org/W2914296386","https://openalex.org/W3012420847","https://openalex.org/W3103842943","https://openalex.org/W3132837244","https://openalex.org/W3202825385","https://openalex.org/W4200555195","https://openalex.org/W4213014551","https://openalex.org/W4214556326","https://openalex.org/W4224936685","https://openalex.org/W4297504216","https://openalex.org/W4297537745","https://openalex.org/W4365505936","https://openalex.org/W4382025915","https://openalex.org/W4389747769","https://openalex.org/W4393168495","https://openalex.org/W4401584412","https://openalex.org/W4402226834","https://openalex.org/W4402332502","https://openalex.org/W4403063317","https://openalex.org/W4406321369"],"related_works":[],"abstract_inverted_index":{"Earlier":[0],"notification":[1],"and":[2,9,14,42,57,89,91,104,121,134,164,187,192,241,246],"fire":[3,10,68,80,156,166,211,264],"detection":[4,33,53,157,265],"methods":[5,114],"provide":[6],"safety":[7,41],"information":[8],"prevention":[11],"to":[12,54,85,115,162,183,190,209,223,234,249],"blind":[13],"visually":[15],"impaired":[16],"(BVI)":[17],"individuals":[18,73],"in":[19,23,29,74],"a":[20,96,276],"limited":[21],"timeframe":[22],"the":[24,43,178,195,198,215,257,263,272],"event":[25],"of":[26,98,256,271,280],"emergencies,":[27],"particularly":[28],"enclosed":[30],"areas.":[31],"Fire":[32,129],"becomes":[34],"crucial":[35,84],"as":[36],"it":[37,82],"directly":[38],"impacts":[39],"human":[40],"environment.":[44],"While":[45],"modern":[46],"technology":[47],"requires":[48],"precise":[49],"techniques":[50],"for":[51,71,132,168],"early":[52,67],"prevent":[55,78],"damage":[56,120],"loss,":[58],"few":[59],"research":[60],"has":[61],"focused":[62],"on":[63],"artificial":[64],"intelligence":[65],"(AI)-based":[66],"alert":[69,92],"systems":[70],"BVI":[72,93,169],"indoor":[75],"settings.":[76],"To":[77],"such":[79],"incidents,":[81],"is":[83,148,175,221,232,260],"identify":[86,116],"fires":[87,117],"accurately":[88],"promptly,":[90],"personnel":[94],"using":[95,138,177],"combination":[97],"smart":[99],"glasses,":[100],"deep":[101],"learning":[102],"(DL),":[103],"computer":[105],"vision":[106],"(CV).":[107],"The":[108,150,226],"most":[109],"recent":[110],"technologies":[111],"require":[112],"effective":[113],"quickly,":[118],"preventing":[119],"physical":[122],"loss.":[123],"In":[124],"this":[125],"manuscript,":[126],"an":[127,154],"Enhanced":[128],"Detection":[130],"System":[131],"Blind":[133],"Visually":[135],"Challenged":[136],"People":[137],"Artificial":[139],"Intelligence":[140],"with":[141],"Deep":[142],"Convolutional":[143],"Neural":[144],"Networks":[145],"(EFDBVC-AIDCNN)":[146],"model":[147,152,182,202],"presented.":[149],"EFDBVC-AIDCNN":[151,258,273],"presents":[153],"advanced":[155],"system":[158],"that":[159],"utilizes":[160],"AI":[161],"detect":[163,224],"classify":[165],"hazards":[167],"people":[170],"effectively.":[171],"Initially,":[172],"image":[173],"pre-processing":[174],"performed":[176],"Gabor":[179],"filter":[180],"(GF)":[181],"improve":[184],"texture":[185],"details":[186,205],"patterns":[188,212],"specific":[189],"flames":[191],"smoke.":[193],"For":[194],"feature":[196],"extractor,":[197],"Swin":[199],"transformer":[200],"(ST)":[201],"captures":[203],"fine":[204],"across":[206,243],"multiple":[207],"scales":[208],"represent":[210],"accurately.":[213],"Furthermore,":[214],"Elman":[216],"neural":[217],"network":[218],"(ENN)":[219],"technique":[220,259],"implemented":[222],"fire.":[225],"improved":[227],"whale":[228],"optimization":[229],"algorithm":[230],"(IWOA)":[231],"used":[233],"efficiently":[235],"tune":[236],"ENN":[237],"parameters,":[238],"improving":[239],"accuracy":[240,278],"robustness":[242],"varying":[244],"lighting":[245],"environmental":[247],"conditions":[248],"optimize":[250],"performance.":[251],"An":[252],"extensive":[253],"experimental":[254],"study":[255],"accomplished":[261],"under":[262],"dataset.":[266],"A":[267],"short":[268],"comparative":[269],"analysis":[270],"approach":[274],"portrayed":[275],"superior":[277],"value":[279],"96.60%":[281],"over":[282],"existing":[283],"models.":[284]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
