乐胖代购免代理版

{"id":"https://openalex.org/W2771227197","doi":"https://doi.org/10.1109/sbr-lars-r.2017.8215312","title":"First response fire combat: Deep leaning based visible fire detection","display_name":"First response fire combat: Deep leaning based visible fire detection","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2771227197","doi":"https://doi.org/10.1109/sbr-lars-r.2017.8215312","mag":"2771227197"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr-lars-r.2017.8215312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5025838941","display_name":"Valquiria Huttner","orcid":null},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Valquiria Huttner","raw_affiliation_strings":["Computational Sciences Center - C3, Federal University of Rio Grande - FURG, Rio Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Computational Sciences Center - C3, Federal University of Rio Grande - FURG, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054412900","display_name":"Cristiano Rafael Steffens","orcid":"https://orcid.org/0000-0002-2192-5833"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cristiano Rafael Steffens","raw_affiliation_strings":["Computational Sciences Center - C3, Federal University of Rio Grande - FURG, Rio Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Computational Sciences Center - C3, Federal University of Rio Grande - FURG, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029568844","display_name":"S\u00edlvia Silva da Costa Botelho","orcid":"https://orcid.org/0000-0002-8857-0221"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvia Silva da Costa Botelho","raw_affiliation_strings":["Computational Sciences Center - C3, Federal University of Rio Grande - FURG, Rio Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Computational Sciences Center - C3, Federal University of Rio Grande - FURG, Rio Grande, Brazil","institution_ids":["https://openalex.org/I126460647"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.221,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":22,"citation_normalized_percentile":{"value":0.950355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":1.0,"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":1.0,"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":0.9995,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9912,"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/fire-detection","display_name":"Fire Detection","score":0.68235505},{"id":"https://openalex.org/keywords/fire-hazard","display_name":"Fire hazard","score":0.5180395},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.51783663},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4694205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302594},{"id":"https://openalex.org/C2780836893","wikidata":"https://www.wikidata.org/wiki/Q19922674","display_name":"Fire detection","level":2,"score":0.68235505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006814},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5957854},{"id":"https://openalex.org/C2987755307","wikidata":"https://www.wikidata.org/wiki/Q2997557","display_name":"Fire hazard","level":2,"score":0.5180395},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.51783663},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4694205},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44825053},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43101624},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41413945},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36887425},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1541917},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.1345171},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.09092277},{"id":"https://openalex.org/C526734887","wikidata":"https://www.wikidata.org/wiki/Q832237","display_name":"Environmental protection","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbr-lars-r.2017.8215312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1788809966","https://openalex.org/W2022381160","https://openalex.org/W2074694452","https://openalex.org/W2097117768","https://openalex.org/W2103941746","https://openalex.org/W2120480077","https://openalex.org/W2146502635","https://openalex.org/W2161381512","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2423557781","https://openalex.org/W2523246573","https://openalex.org/W2527290311","https://openalex.org/W2565094853","https://openalex.org/W2613332842","https://openalex.org/W2919115771","https://openalex.org/W2949605076","https://openalex.org/W2963636093","https://openalex.org/W2964121744","https://openalex.org/W6908809"],"related_works":["https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W4327774218","https://openalex.org/W4312858960","https://openalex.org/W4247925126","https://openalex.org/W4229448053","https://openalex.org/W4206001030","https://openalex.org/W3083545684","https://openalex.org/W2059768187","https://openalex.org/W2046548943"],"abstract_inverted_index":{"Visible":[0],"spectrum":[1],"video":[2],"based":[3,53,55],"fire":[4,30,102,129],"detection":[5,130],"using":[6,31,109,135],"non-stationary":[7,40],"cameras":[8,99],"has":[9],"been":[10],"an":[11],"overlooked":[12],"research":[13],"problem.":[14],"While":[15],"many":[16],"authors":[17],"have":[18],"successfully":[19],"developed":[20],"algorithms":[21],"to":[22,120,146],"identify":[23],"and":[24,60,70,77,96,122],"measure":[25],"the":[26,37,63,74,78,114,127,142],"proportions":[27],"of":[28,39,65,89,112,139],"uncontrolled":[29],"thermal":[32],"or":[33],"stationary":[34],"surveillance":[35],"cameras,":[36],"development":[38],"systems":[41],"provides":[42],"a":[43,50,84,136,148],"much":[44],"larger":[45],"application":[46],"scope.":[47],"We":[48,132],"present":[49],"deep":[51],"learning":[52,68,140],"approach,":[54],"on":[56,100],"Google's":[57],"Inception":[58,115],"v3":[59,116],"evaluate":[61],"how":[62],"use":[64],"different":[66],"optimizers,":[67],"rates":[69],"reduction":[71],"functions":[72],"impact":[73],"convergence":[75],"time":[76],"results":[79,106,124],"obtained.":[80],"The":[81,105],"experiment":[82],"used":[83],"balanced":[85],"two-class":[86],"dataset,":[87],"composed":[88],"images":[90],"from":[91],"videos":[92],"captured":[93],"through":[94],"hand-held":[95],"drone":[97],"attached":[98],"real":[101],"hazard":[103],"situations.":[104],"show":[107,133],"that":[108,125,134],"any":[110],"choice":[111,138],"algorithms,":[113],"architecture":[117],"is":[118,144],"able":[119,145],"converge":[121],"obtain":[123],"surpass":[126],"state-of-the-art":[128],"methods.":[131],"proper":[137],"rate,":[141],"network":[143],"achieve":[147],"99%":[149],"accuracy":[150],"in":[151],"less":[152],"than":[153],"one":[154],"hundred":[155],"interactions.":[156]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2771227197","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-02-17T23:25:34.275782","created_date":"2017-12-22"}