{"id":"https://openalex.org/W3024849061","doi":"https://doi.org/10.3390/s20102771","title":"SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition","display_name":"SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition","publication_year":2020,"publication_date":"2020-05-13","ids":{"openalex":"https://openalex.org/W3024849061","doi":"https://doi.org/10.3390/s20102771","mag":"3024849061","pmid":"https://pubmed.ncbi.nlm.nih.gov/32414064"},"language":"en","primary_location":{"id":"doi:10.3390/s20102771","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20102771","pdf_url":"https://www.mdpi.com/1424-8220/20/10/2771/pdf?version=1590398808","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/1424-8220/20/10/2771/pdf?version=1590398808","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101882039","display_name":"Muhammad Asif Razzaq","orcid":"https://orcid.org/0000-0002-0061-8834"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Muhammad Asif Razzaq","raw_affiliation_strings":["Ubiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea"],"affiliations":[{"raw_affiliation_string":"Ubiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087964095","display_name":"Ian Cleland","orcid":"https://orcid.org/0000-0003-2368-7354"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ian Cleland","raw_affiliation_strings":["School of Computing, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021247547","display_name":"Chris Nugent","orcid":"https://orcid.org/0000-0003-0882-7902"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chris Nugent","raw_affiliation_strings":["School of Computing, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101882040","display_name":"Sungyoung Lee","orcid":"https://orcid.org/0000-0002-5962-1587"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sungyoung Lee","raw_affiliation_strings":["Ubiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea"],"affiliations":[{"raw_affiliation_string":"Ubiquitous Computing Lab, Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-701, Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101882040"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.1963,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48421803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"20","issue":"10","first_page":"2771","last_page":"2771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9513000249862671,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9474999904632568,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.78096604347229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6339178681373596},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.585196316242218},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5721763372421265},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5111592411994934},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4763874411582947},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47463735938072205},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.460705429315567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40475282073020935},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.31632164120674133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78096604347229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6339178681373596},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.585196316242218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5721763372421265},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5111592411994934},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4763874411582947},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47463735938072205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.460705429315567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40475282073020935},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.31632164120674133},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s20102771","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20102771","pdf_url":"https://www.mdpi.com/1424-8220/20/10/2771/pdf?version=1590398808","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:32414064","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32414064","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:pure.atira.dk:openaire/22205ca5-e119-4065-8a43-7741332362ce","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/22205ca5-e119-4065-8a43-7741332362ce","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Razzaq, M A, Cleland, I, Nugent, CD & Lee, S 2020, 'SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition', Sensors, vol. 20, no. 10, 2771. https://doi.org/10.3390/s20102771","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:7fdf7526ce214b5ea92d5888baedd271","is_oa":true,"landing_page_url":"https://doaj.org/article/7fdf7526ce214b5ea92d5888baedd271","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 20, Iss 10, p 2771 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/10/2771/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20102771","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","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7294435","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7294435","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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/s20102771","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20102771","pdf_url":"https://www.mdpi.com/1424-8220/20/10/2771/pdf?version=1590398808","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":[],"awards":[{"id":"https://openalex.org/G1739134435","display_name":null,"funder_award_id":"IITP-","funder_id":"https://openalex.org/F4320324891","funder_display_name":"Iran Telecommunication Research Center"},{"id":"https://openalex.org/G2312477435","display_name":"Evaluation of microbial food hazards and study of the effect of novel food processes on the virulence of foodborne pathogens","funder_award_id":"209050","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2689612763","display_name":null,"funder_award_id":"Marie","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3659993743","display_name":null,"funder_award_id":"NRF-2019R1A2C2090504","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4011192732","display_name":null,"funder_award_id":"2017-0-00655","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4755126298","display_name":null,"funder_award_id":"IITP-2017-0-01629","funder_id":"https://openalex.org/F4320324891","funder_display_name":"Iran Telecommunication Research Center"},{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5036817778","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innov","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5630833296","display_name":null,"funder_award_id":"IITP-2017-0-01629","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6072120315","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7282767885","display_name":null,"funder_award_id":"IITP-2017-0-01629","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7685055460","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7770634194","display_name":null,"funder_award_id":"2017-0-00655","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G8002683930","display_name":null,"funder_award_id":"NRF-2019R1A2C2090504","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G8051717526","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G854105898","display_name":null,"funder_award_id":"734355","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8633428685","display_name":null,"funder_award_id":"European Union's Horizon 2020 research and innovat","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8771493284","display_name":null,"funder_award_id":"NRF-2016K1A3A7A03951968","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3024849061.pdf","grobid_xml":"https://content.openalex.org/works/W3024849061.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1522166085","https://openalex.org/W1984764344","https://openalex.org/W2033891698","https://openalex.org/W2034281151","https://openalex.org/W2050655421","https://openalex.org/W2059094808","https://openalex.org/W2059732136","https://openalex.org/W2072510001","https://openalex.org/W2086385378","https://openalex.org/W2102720558","https://openalex.org/W2127426251","https://openalex.org/W2135090840","https://openalex.org/W2149319103","https://openalex.org/W2159798994","https://openalex.org/W2210299835","https://openalex.org/W2282784388","https://openalex.org/W2288074780","https://openalex.org/W2466337456","https://openalex.org/W2590106597","https://openalex.org/W2761788421","https://openalex.org/W2766922320","https://openalex.org/W2769215013","https://openalex.org/W2789868604","https://openalex.org/W2795342689","https://openalex.org/W2796869495","https://openalex.org/W2798679763","https://openalex.org/W2803675191","https://openalex.org/W2851629429","https://openalex.org/W2854846946","https://openalex.org/W2897146526","https://openalex.org/W2897322771","https://openalex.org/W2898208476","https://openalex.org/W2900245446","https://openalex.org/W2920984466","https://openalex.org/W2935413350","https://openalex.org/W2943894054","https://openalex.org/W2953328387","https://openalex.org/W2953913611","https://openalex.org/W2963105378"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"The":[0,29,179],"recognition":[1],"of":[2,4,24,31,40,71,127,175,230],"activities":[3,34],"daily":[5],"living":[6],"(ADL)":[7],"in":[8,26,84,109],"smart":[9],"environments":[10],"is":[11,63,75,98,136],"a":[12,38,64,103,119,151,182,194,221],"well-known":[13],"and":[14,42,49,81,148,173,228],"an":[15,111],"important":[16],"research":[17],"area,":[18],"which":[19,100],"presents":[20],"the":[21,46,95,125,171,176,199,202,205,215,226],"real-time":[22],"state":[23],"humans":[25],"pervasive":[27],"computing.":[28],"process":[30],"recognizing":[32],"human":[33],"generally":[35],"involves":[36],"deploying":[37],"set":[39],"obtrusive":[41],"unobtrusive":[43],"sensors,":[44],"pre-processing":[45],"raw":[47],"data,":[48],"building":[50],"classification":[51,216],"models":[52],"using":[53,130,189],"machine":[54],"learning":[55,159],"(ML)":[56],"algorithms.":[57],"Integrating":[58],"data":[59,72,86,96,129],"from":[60,204],"multiple":[61],"sensors":[62],"challenging":[65],"task":[66],"due":[67,78],"to":[68,79,123,169],"dynamic":[69],"nature":[70],"sources.":[73,87],"This":[74,135],"further":[76],"complicated":[77],"semantic":[80,120,132,140,211],"syntactic":[82],"differences":[83,89],"these":[85],"These":[88],"become":[90],"even":[91],"more":[92],"complex":[93],"if":[94],"generated":[97],"imperfect,":[99],"ultimately":[101],"has":[102],"direct":[104],"impact":[105],"on":[106,166],"its":[107],"usefulness":[108],"yielding":[110],"accurate":[112],"classifier.":[113],"In":[114],"this":[115],"study,":[116],"we":[117,156],"propose":[118],"imputation":[121],"framework":[122],"improve":[124],"quality":[126],"sensor":[128,143],"ontology-based":[131],"similarity":[133],"learning.":[134],"achieved":[137],"by":[138,149],"identifying":[139],"correlations":[141],"among":[142],"events":[144],"through":[145],"SPARQL":[146],"queries,":[147],"performing":[150],"time-series":[152],"longitudinal":[153],"imputation.":[154],"Furthermore,":[155],"applied":[157],"deep":[158],"(DL)":[160],"based":[161],"artificial":[162],"neural":[163],"network":[164],"(ANN)":[165],"public":[167],"datasets":[168,188,213],"demonstrate":[170],"applicability":[172],"validity":[174],"proposed":[177],"approach.":[178],"results":[180,200],"showed":[181],"higher":[183,222],"accuracy":[184,217],"with":[185,201,218],"semantically":[186],"imputed":[187,212],"ANN.":[190],"We":[191,207],"also":[192],"presented":[193],"detailed":[195],"comparative":[196],"analysis,":[197],"comparing":[198],"state-of-the-art":[203],"literature.":[206],"found":[208],"that":[209],"our":[210],"improved":[214],"95.78%":[219],"as":[220],"one":[223],"thus":[224],"proving":[225],"effectiveness":[227],"robustness":[229],"learned":[231],"models.":[232]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
