{"id":"https://openalex.org/W2528631373","doi":"https://doi.org/10.1109/dsmp.2016.7583540","title":"Deep convolutional network for detecting probable emergency situations","display_name":"Deep convolutional network for detecting probable emergency situations","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2528631373","doi":"https://doi.org/10.1109/dsmp.2016.7583540","mag":"2528631373"},"language":"en","primary_location":{"id":"doi:10.1109/dsmp.2016.7583540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2016.7583540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE First International Conference on Data Stream Mining &amp; Processing (DSMP)","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/A5027449393","display_name":"Oleksii Maksymiv","orcid":"https://orcid.org/0000-0002-7979-3626"},"institutions":[{"id":"https://openalex.org/I4210160829","display_name":"Lviv State University of Life Safety","ror":"https://ror.org/057g9bh47","country_code":"UA","type":"education","lineage":["https://openalex.org/I4210160829"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Oleksii Maksymiv","raw_affiliation_strings":["Lviv State University of Life Safety, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Lviv State University of Life Safety, Lviv, Ukraine","institution_ids":["https://openalex.org/I4210160829"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068488363","display_name":"\u0422\u0430\u0440\u0430\u0441 \u0420\u0430\u043a","orcid":"https://orcid.org/0000-0003-0744-2883"},"institutions":[{"id":"https://openalex.org/I4210160829","display_name":"Lviv State University of Life Safety","ror":"https://ror.org/057g9bh47","country_code":"UA","type":"education","lineage":["https://openalex.org/I4210160829"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Taras Rak","raw_affiliation_strings":["Lviv State University of Life Safety, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Lviv State University of Life Safety, Lviv, Ukraine","institution_ids":["https://openalex.org/I4210160829"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076036019","display_name":"Olga Menshikova","orcid":"https://orcid.org/0000-0002-8818-7257"},"institutions":[{"id":"https://openalex.org/I4210160829","display_name":"Lviv State University of Life Safety","ror":"https://ror.org/057g9bh47","country_code":"UA","type":"education","lineage":["https://openalex.org/I4210160829"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Olga Menshikova","raw_affiliation_strings":["Lviv State University of Life Safety, Lviv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Lviv State University of Life Safety, Lviv, Ukraine","institution_ids":["https://openalex.org/I4210160829"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027449393"],"corresponding_institution_ids":["https://openalex.org/I4210160829"],"apc_list":null,"apc_paid":null,"fwci":2.626,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89169007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":null,"first_page":"199","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9936000108718872,"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":0.9936000108718872,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9169999957084656,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T14222","display_name":"Knowledge Management and Technology","score":0.9054999947547913,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8237251043319702},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8177162408828735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7666065692901611},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6537946462631226},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5931849479675293},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5867751240730286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45962464809417725},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.451777845621109},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4182594418525696},{"id":"https://openalex.org/keywords/frame-work","display_name":"Frame work","score":0.4150035083293915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4142299294471741},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07964271306991577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8237251043319702},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8177162408828735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7666065692901611},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6537946462631226},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5931849479675293},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5867751240730286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45962464809417725},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.451777845621109},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4182594418525696},{"id":"https://openalex.org/C3018407679","wikidata":"https://www.wikidata.org/wiki/Q1289773","display_name":"Frame work","level":2,"score":0.4150035083293915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4142299294471741},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07964271306991577},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsmp.2016.7583540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2016.7583540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE First International Conference on Data Stream Mining &amp; Processing (DSMP)","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":14,"referenced_works":["https://openalex.org/W77056618","https://openalex.org/W1577441096","https://openalex.org/W1972058229","https://openalex.org/W2012941442","https://openalex.org/W2063975513","https://openalex.org/W2072458323","https://openalex.org/W2097117768","https://openalex.org/W2099386276","https://openalex.org/W2163605009","https://openalex.org/W2315502046","https://openalex.org/W4233493325","https://openalex.org/W6603193002","https://openalex.org/W6674736866","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2351355878","https://openalex.org/W2019202406"],"abstract_inverted_index":{"Paper":[0],"describes":[1],"the":[2,27,47],"developed":[3,60],"approaches":[4],"to":[5,25],"detecting":[6],"emergency":[7],"situations":[8],"that":[9,43],"primed":[10],"based":[11],"on":[12],"color":[13],"segmentation,":[14],"frame":[15],"difference":[16],"and":[17,66,73],"deep":[18],"convolutional":[19],"networks.":[20],"The":[21],"main":[22],"objective":[23],"was":[24,59],"test":[26],"interaction":[28],"of":[29,38,49,69],"computer":[30],"vision":[31],"traditional":[32],"methods,":[33],"combined":[34],"with":[35,64],"modern":[36],"methods":[37,51],"machine":[39],"learning.":[40],"Experimentally":[41],"proved":[42],"detection":[44],"quality":[45],"for":[46],"combination":[48],"such":[50],"is":[52],"96.7%.":[53],"In":[54],"this":[55],"work,":[56],"in":[57],"particular,":[58],"own":[61],"images":[62],"dataset":[63],"emergencies":[65],"conducted":[67],"comparison":[68],"neural":[70],"networks":[71],"AlexNet":[72],"GoogLeNet.":[74]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
