{"id":"https://openalex.org/W4200080018","doi":"https://doi.org/10.1109/iscc53001.2021.9631409","title":"Automatic Face Mask Detection Using Deep Learning","display_name":"Automatic Face Mask Detection Using Deep Learning","publication_year":2021,"publication_date":"2021-09-05","ids":{"openalex":"https://openalex.org/W4200080018","doi":"https://doi.org/10.1109/iscc53001.2021.9631409"},"language":"en","primary_location":{"id":"doi:10.1109/iscc53001.2021.9631409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631409","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","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/A5104019636","display_name":"Stephanie Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Stephanie Anderson","raw_affiliation_strings":["Kennesaw State University, Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021126019","display_name":"Suma Veeravenkatappa","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suma Veeravenkatappa","raw_affiliation_strings":["Kennesaw State University, Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011280928","display_name":"Priyanka Pola","orcid":"https://orcid.org/0000-0002-6918-7112"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Priyanka Pola","raw_affiliation_strings":["Kennesaw State University, Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070223983","display_name":"Seyedamin Pouriyeh","orcid":"https://orcid.org/0000-0002-5746-2914"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyedamin Pouriyeh","raw_affiliation_strings":["Kennesaw State University, Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785901","display_name":"Meng Han","orcid":"https://orcid.org/0000-0001-7472-0842"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Han","raw_affiliation_strings":["Kennesaw State University, Marietta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University, Marietta, GA, USA","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5104019636"],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":null,"apc_paid":null,"fwci":0.1307,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.484447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9991000294685364,"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/T10990","display_name":"Infection Control and Ventilation","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7321291565895081},{"id":"https://openalex.org/keywords/face-masks","display_name":"Face masks","score":0.6983658075332642},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6882354021072388},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6492171287536621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5950838327407837},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5917829275131226},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4955836534500122},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.451917439699173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3827664852142334},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.15396562218666077},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14325296878814697},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13814756274223328},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09619474411010742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7321291565895081},{"id":"https://openalex.org/C2909791563","wikidata":"https://www.wikidata.org/wiki/Q5428367","display_name":"Face masks","level":5,"score":0.6983658075332642},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6882354021072388},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6492171287536621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5950838327407837},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5917829275131226},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4955836534500122},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.451917439699173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3827664852142334},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.15396562218666077},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14325296878814697},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13814756274223328},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09619474411010742},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc53001.2021.9631409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631409","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2155893237","https://openalex.org/W3035550116","https://openalex.org/W3126909071","https://openalex.org/W3134154885","https://openalex.org/W4205225613","https://openalex.org/W6791623681"],"related_works":["https://openalex.org/W3138405103","https://openalex.org/W4375867731","https://openalex.org/W4313390248","https://openalex.org/W2611989081","https://openalex.org/W3127046093","https://openalex.org/W3156435419","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4283367364","https://openalex.org/W4304166257"],"abstract_inverted_index":{"COVID-19":[0,26],"shook":[1],"the":[2,23,33,36,45,65],"entire":[3],"world":[4],"with":[5],"its":[6],"highly":[7,54],"infectious":[8],"transmission":[9],"and":[10,27,44,122],"death":[11],"rate.":[12],"As":[13,84],"per":[14],"CDC":[15],"guidelines,":[16],"wearing":[17],"a":[18,29,85,99],"mask":[19,89,101],"can":[20],"effectively":[21],"reduce":[22],"spread":[24,66],"of":[25,38,47,67],"create":[28],"protective":[30],"barrier":[31],"against":[32],"virus":[34],"until":[35],"efficacy":[37],"currently":[39],"available":[40],"vaccines":[41],"reaches":[42],"100%":[43],"majority":[46],"people":[48,72],"get":[49],"vaccinated.":[50],"Wearing":[51],"masks":[52,78],"is":[53,79],"recommended":[55],"almost":[56],"everywhere,":[57],"in":[58],"schools,":[59],"stores,":[60],"movies,":[61],"etc.":[62],"to":[63,73,115],"prevent":[64],"this":[68,95],"virus,":[69],"however,":[70],"monitoring":[71],"see":[74],"whether":[75],"they":[76],"wear":[77],"not":[80],"an":[81],"easy":[82],"task.":[83],"result,":[86],"different":[87,113],"face":[88,100],"detection":[90,102],"models":[91],"were":[92],"proposed.":[93],"In":[94],"paper,":[96],"we":[97],"introduce":[98],"model":[103,127],"using":[104],"deep":[105],"learning.":[106],"We":[107],"have":[108],"taken":[109],"into":[110],"consideration":[111],"three":[112],"categories":[114],"train":[116],"our":[117],"model,":[118],"Mask,":[119,121],"No":[120],"Incorrect":[123],"Mask.":[124],"The":[125],"proposed":[126],"has":[128],"achieved":[129],"96%":[130],"accuracy.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}