{"id":"https://openalex.org/W3176366917","doi":"https://doi.org/10.1109/saci51354.2021.9465587","title":"Automatic Mask Detecion using Convolutional Neural Networks and Variational Autoencoder","display_name":"Automatic Mask Detecion using Convolutional Neural Networks and Variational Autoencoder","publication_year":2021,"publication_date":"2021-05-19","ids":{"openalex":"https://openalex.org/W3176366917","doi":"https://doi.org/10.1109/saci51354.2021.9465587","mag":"3176366917"},"language":"en","primary_location":{"id":"doi:10.1109/saci51354.2021.9465587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci51354.2021.9465587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","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/A5084220903","display_name":"Mxolisi Silabela","orcid":null},"institutions":[{"id":"https://openalex.org/I120832542","display_name":"Eszterhazy Karoly Catholic University","ror":"https://ror.org/004gfgx38","country_code":"HU","type":"education","lineage":["https://openalex.org/I120832542"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Mxolisi Silabela","raw_affiliation_strings":["Faculty of Informatics, Eszterhazy Karoly University, Eger, Hungary"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Eszterhazy Karoly University, Eger, Hungary","institution_ids":["https://openalex.org/I120832542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067788845","display_name":"Bence Bogdandy","orcid":null},"institutions":[{"id":"https://openalex.org/I120832542","display_name":"Eszterhazy Karoly Catholic University","ror":"https://ror.org/004gfgx38","country_code":"HU","type":"education","lineage":["https://openalex.org/I120832542"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Bence Bogdandy","raw_affiliation_strings":["Faculty of Informatics, Eszterhazy Karoly University, Eger, Hungary"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Eszterhazy Karoly University, Eger, Hungary","institution_ids":["https://openalex.org/I120832542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101486687","display_name":"Zsolt T\u00f3th","orcid":"https://orcid.org/0000-0001-6228-4262"},"institutions":[{"id":"https://openalex.org/I120832542","display_name":"Eszterhazy Karoly Catholic University","ror":"https://ror.org/004gfgx38","country_code":"HU","type":"education","lineage":["https://openalex.org/I120832542"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zsolt Toth","raw_affiliation_strings":["Faculty of Informatics, Eszterhazy Karoly University, Eger, Hungary"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Eszterhazy Karoly University, Eger, Hungary","institution_ids":["https://openalex.org/I120832542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084220903"],"corresponding_institution_ids":["https://openalex.org/I120832542"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3745915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"461","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9718999862670898,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9718999862670898,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9526000022888184,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/autoencoder","display_name":"Autoencoder","score":0.9434479475021362},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8417329788208008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8256369829177856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7941986322402954},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7924730181694031},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6440454125404358},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5472554564476013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5333212614059448},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5284438133239746},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5251564383506775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.453773558139801},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4390332102775574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43506288528442383},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42320355772972107},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0710793137550354}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9434479475021362},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8417329788208008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256369829177856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7941986322402954},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7924730181694031},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6440454125404358},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5472554564476013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5333212614059448},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5284438133239746},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5251564383506775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.453773558139801},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4390332102775574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43506288528442383},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42320355772972107},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0710793137550354},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci51354.2021.9465587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci51354.2021.9465587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W2124828452","https://openalex.org/W2165698076","https://openalex.org/W2183341477","https://openalex.org/W2273396394","https://openalex.org/W2504335775","https://openalex.org/W2789876780","https://openalex.org/W2884599460","https://openalex.org/W2885735575","https://openalex.org/W2957285709","https://openalex.org/W2963770578","https://openalex.org/W2969625665","https://openalex.org/W2979633758","https://openalex.org/W2981064878","https://openalex.org/W3016540417","https://openalex.org/W3022163878","https://openalex.org/W3022846008","https://openalex.org/W3024585647","https://openalex.org/W3027835370","https://openalex.org/W3043068378","https://openalex.org/W3089019288","https://openalex.org/W3096894036","https://openalex.org/W3098090606","https://openalex.org/W3106230744","https://openalex.org/W3126359513","https://openalex.org/W3128758033","https://openalex.org/W3184998487","https://openalex.org/W4255421341","https://openalex.org/W6678552747","https://openalex.org/W6686164453","https://openalex.org/W6753517993","https://openalex.org/W6767046885","https://openalex.org/W6769166917","https://openalex.org/W6777086352","https://openalex.org/W6778395422","https://openalex.org/W7038994942"],"related_works":["https://openalex.org/W3189091156","https://openalex.org/W3012393889","https://openalex.org/W3018421652","https://openalex.org/W4366224123","https://openalex.org/W2807839383","https://openalex.org/W2997709384","https://openalex.org/W4292874285","https://openalex.org/W4220996320","https://openalex.org/W2738221750","https://openalex.org/W3118457286"],"abstract_inverted_index":{"The":[0,121],"importance":[1],"of":[2,109,165,177],"proper":[3],"hygienical":[4],"behaivour":[5],"is":[6,33,135],"essential":[7],"in":[8,20,53,73,80],"today's":[9],"word":[10],"especially":[11],"during":[12,23],"an":[13,101],"ongoing":[14],"pandemic.":[15],"Wearing":[16],"mask":[17,134,179],"became":[18],"mandatory":[19],"many":[21],"countries":[22],"the":[24,157,166,175],"COVID-19":[25],"Pandemic.":[26],"Recognizing":[27],"whether":[28,132],"people":[29],"are":[30,50,85,113],"wearing":[31],"masks":[32],"complicated":[34],"image":[35,64,74,111],"recognition":[36,78,180],"task":[37,79],"which":[38,56,96],"could":[39],"be":[40,58,98],"facilitated":[41],"and":[42,63,76,88,118,144,168,189],"automated":[43],"with":[44,159],"machine":[45],"learning":[46,142],"techniques.":[47],"Camera":[48],"streams":[49],"widely":[51],"available":[52,90,115],"indoor":[54],"environments":[55],"can":[57,97],"used":[59,99,127],"for":[60,104,116],"object":[61,77],"detection":[62],"processing.":[65],"Convolutional":[66],"Neural":[67,123],"Networks":[68],"have":[69],"been":[70,153],"successfully":[71],"applied":[72],"classification":[75],"various":[81],"application":[82],"areas.":[83],"There":[84],"already":[86],"trained":[87,154],"openly":[89],"general":[91],"purpose":[92],"convolutional":[93,145,186],"neural":[94,146,187],"networks":[95],"as":[100],"initial":[102],"version":[103],"specific":[105],"applications.":[106],"A":[107,148],"number":[108],"different":[110],"datasets":[112],"also":[114,152],"research":[117],"industrial":[119],"purposes.":[120],"InceptionV3":[122],"Network":[124],"architecture":[125],"was":[126],"to":[128,130,155,161],"tailored":[129],"determine":[131],"a":[133,178,185,190],"being":[136],"worn":[137],"or":[138],"not":[139],"using":[140,182],"transfer":[141,183],"techniques,":[143],"networks.":[147],"variational":[149,191],"autoencoder":[150],"has":[151],"normalize":[156],"dataset":[158],"respect":[160],"skin":[162],"colour,":[163],"angle":[164],"head":[167],"among":[169],"other":[170],"parameters.":[171],"This":[172],"paper":[173],"describes":[174],"implementation":[176],"software":[181],"learning,":[184],"network":[188],"autoencoder.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}