{"id":"https://openalex.org/W4296047151","doi":"https://doi.org/10.3390/s22187001","title":"Real-Time Learning and Monitoring System in Fighting against SARS-CoV-2 in a Private Indoor Environment","display_name":"Real-Time Learning and Monitoring System in Fighting against SARS-CoV-2 in a Private Indoor Environment","publication_year":2022,"publication_date":"2022-09-15","ids":{"openalex":"https://openalex.org/W4296047151","doi":"https://doi.org/10.3390/s22187001","pmid":"https://pubmed.ncbi.nlm.nih.gov/36146346"},"language":"en","primary_location":{"id":"doi:10.3390/s22187001","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22187001","pdf_url":"https://www.mdpi.com/1424-8220/22/18/7001/pdf?version=1663637948","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/18/7001/pdf?version=1663637948","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027544217","display_name":"Serdar Eri\u015fen","orcid":"https://orcid.org/0000-0002-7192-0889"},"institutions":[{"id":"https://openalex.org/I45542416","display_name":"Atilim University","ror":"https://ror.org/04pd3v454","country_code":"TR","type":"education","lineage":["https://openalex.org/I45542416"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Serdar Eri\u015fen","raw_affiliation_strings":["Department of Architecture, At\u0131l\u0131m University, Ankara 06830, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-7192-0889","affiliations":[{"raw_affiliation_string":"Department of Architecture, At\u0131l\u0131m University, Ankara 06830, Turkey","institution_ids":["https://openalex.org/I45542416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027544217"],"corresponding_institution_ids":["https://openalex.org/I45542416"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.4463,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55817986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"18","first_page":"7001","last_page":"7001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9959999918937683,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.6382704377174377},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5747162103652954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4884182810783386},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4818647801876068},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4663020670413971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46493834257125854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43123236298561096},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.320592999458313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17655149102210999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6382704377174377},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5747162103652954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4884182810783386},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4818647801876068},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4663020670413971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46493834257125854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43123236298561096},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.320592999458313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17655149102210999},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000086402","descriptor_name":"SARS-CoV-2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D058873","descriptor_name":"Pandemics","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22187001","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22187001","pdf_url":"https://www.mdpi.com/1424-8220/22/18/7001/pdf?version=1663637948","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36146346","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36146346","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ca8fcddcbed44ede8ae399eede2bf96e","is_oa":true,"landing_page_url":"https://doaj.org/article/ca8fcddcbed44ede8ae399eede2bf96e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 18, p 7001 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/18/7001/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22187001","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 18; Pages: 7001","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9505417","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9505417","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22187001","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22187001","pdf_url":"https://www.mdpi.com/1424-8220/22/18/7001/pdf?version=1663637948","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296047151.pdf","grobid_xml":"https://content.openalex.org/works/W4296047151.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1501715514","https://openalex.org/W1512626957","https://openalex.org/W1678666886","https://openalex.org/W1942601760","https://openalex.org/W2009201419","https://openalex.org/W2604527676","https://openalex.org/W2605004046","https://openalex.org/W2767754816","https://openalex.org/W2773336842","https://openalex.org/W2781940057","https://openalex.org/W2783295421","https://openalex.org/W2797670767","https://openalex.org/W2883838096","https://openalex.org/W2889693115","https://openalex.org/W2892700141","https://openalex.org/W2893508884","https://openalex.org/W2904812143","https://openalex.org/W2911489875","https://openalex.org/W2956375831","https://openalex.org/W2972397192","https://openalex.org/W2979729503","https://openalex.org/W2987793235","https://openalex.org/W3000518373","https://openalex.org/W3003275808","https://openalex.org/W3004627921","https://openalex.org/W3008400047","https://openalex.org/W3011466106","https://openalex.org/W3014075894","https://openalex.org/W3015014633","https://openalex.org/W3016359490","https://openalex.org/W3017393952","https://openalex.org/W3020589325","https://openalex.org/W3021297515","https://openalex.org/W3021424742","https://openalex.org/W3022953390","https://openalex.org/W3025352604","https://openalex.org/W3026150618","https://openalex.org/W3034168748","https://openalex.org/W3036422000","https://openalex.org/W3038099524","https://openalex.org/W3040737545","https://openalex.org/W3044555569","https://openalex.org/W3047269164","https://openalex.org/W3083630143","https://openalex.org/W3094505484","https://openalex.org/W3096227606","https://openalex.org/W3096854301","https://openalex.org/W3103585945","https://openalex.org/W3127316714","https://openalex.org/W3136607400","https://openalex.org/W3138404950","https://openalex.org/W3152211784","https://openalex.org/W3155054060","https://openalex.org/W3164789826","https://openalex.org/W3165330801","https://openalex.org/W3174291621","https://openalex.org/W3174833270","https://openalex.org/W3179863241","https://openalex.org/W3181787448","https://openalex.org/W3191819904","https://openalex.org/W3194444954","https://openalex.org/W3214636904","https://openalex.org/W6760466163","https://openalex.org/W6793605834"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W4380075502"],"abstract_inverted_index":{"The":[0,99,126,147,218],"SARS-CoV-2":[1],"virus":[2],"has":[3,111],"posed":[4],"formidable":[5],"challenges":[6],"that":[7,56,119,237],"must":[8],"be":[9,239],"tackled":[10],"through":[11,96],"scientific":[12],"and":[13,25,58,105,134,139,169,182,205,233,248],"technological":[14],"investigations":[15],"on":[16,160,214],"each":[17,61],"environmental":[18],"scale.":[19],"This":[20],"research":[21],"aims":[22],"to":[23,71,130,142],"learn":[24],"report":[26],"about":[27],"the":[28,67,85,97,124,144,152,174,183,187,191,201,215,223],"current":[29],"state":[30],"of":[31,49,64,107,115,176,186,193,203],"user":[32,73,132],"activities,":[33],"in":[34,36,45,84,199,228,244],"real-time,":[35],"a":[37,52,136],"specially":[38],"designed":[39],"private":[40,86],"indoor":[41,87],"environment":[42,68],"with":[43,60,91,103,151],"sensors":[44,117],"infection":[46],"transmission":[47],"control":[48],"SARS-CoV-2.":[50],"Thus,":[51],"real-time":[53,137,153,195,224],"learning":[54,138,154,171,178,200,220],"system":[55,141,155,197,221],"evolves":[57],"updates":[59],"incoming":[62],"piece":[63],"data":[65,114,127,180,236],"from":[66,118],"is":[69,128],"developed":[70,156,188,219],"predict":[72,143],"activities":[74,133],"categorized":[75],"for":[76,241],"remote":[77],"monitoring.":[78],"Accordingly,":[79],"various":[80,116],"experiments":[81,159],"are":[82,94,210],"conducted":[83],"space.":[88],"Multiple":[89],"sensors,":[90],"their":[92,207],"inputs,":[93],"analyzed":[95],"experiments.":[98],"experiment":[100],"environment,":[101],"installed":[102],"microgrids":[104,148],"Internet":[106],"Things":[108],"(IoT)":[109],"devices,":[110],"provided":[112],"correlating":[113],"special":[120],"care":[121],"context":[122],"during":[123],"pandemic.":[125],"applied":[129],"classify":[131],"develop":[135],"monitoring":[140,196,216],"IoT":[145,225],"data.":[146],"were":[149],"operated":[150],"by":[157],"comprehensive":[158],"classification":[161],"learning,":[162,164],"regression":[163],"Error-Correcting":[165],"Output":[166],"Codes":[167],"(ECOC),":[168],"deep":[170],"models.":[172],"With":[173],"help":[175],"machine":[177],"experiments,":[179],"optimization,":[181],"multilayered-tandem":[184],"organization":[185],"neural":[189],"networks,":[190,247],"efficiency":[192],"this":[194],"increases":[198],"activity":[202],"users":[204],"predicting":[206],"actions,":[208],"which":[209],"reported":[211],"as":[212],"feedback":[213],"interfaces.":[217],"predicts":[222],"data,":[226],"accurately,":[227],"less":[229],"than":[230],"5":[231],"milliseconds":[232],"generates":[234],"big":[235],"can":[238],"deployed":[240],"different":[242],"usages":[243],"larger-scale":[245],"facilities,":[246],"e-health":[249],"services.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}