{"id":"https://openalex.org/W3182944083","doi":"https://doi.org/10.1109/access.2021.3095546","title":"Indoor Localization Using Data Augmentation via Selective Generative Adversarial Networks","display_name":"Indoor Localization Using Data Augmentation via Selective Generative Adversarial Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3182944083","doi":"https://doi.org/10.1109/access.2021.3095546","mag":"3182944083"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3095546","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3095546","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09477623.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09477623.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017265393","display_name":"Wafa Njima","orcid":"https://orcid.org/0000-0002-8700-3161"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I4210148552","display_name":"Equipes Traitement de l'Information et Syst\u00e8mes","ror":"https://ror.org/0592ata02","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I4210148552","https://openalex.org/I4210159245","https://openalex.org/I86175216"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wafa Njima","raw_affiliation_strings":["ETIS UMR 8051, CY Paris Universit\u00e9, ENSEA, CNRS, Cergy, France","ETIS - UMR 8051 - Equipes Traitement de l'Information et Syst\u00e8mes (6, avenue du Ponceau. F 95014 CERGY-PONTOISE CEDEX - France)"],"raw_orcid":"https://orcid.org/0000-0002-8700-3161","affiliations":[{"raw_affiliation_string":"ETIS UMR 8051, CY Paris Universit\u00e9, ENSEA, CNRS, Cergy, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I86175216"]},{"raw_affiliation_string":"ETIS - UMR 8051 - Equipes Traitement de l'Information et Syst\u00e8mes (6, avenue du Ponceau. F 95014 CERGY-PONTOISE CEDEX - France)","institution_ids":["https://openalex.org/I4210148552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026039370","display_name":"Marwa Chafii","orcid":"https://orcid.org/0000-0003-0314-6585"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I4210148552","display_name":"Equipes Traitement de l'Information et Syst\u00e8mes","ror":"https://ror.org/0592ata02","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I4210148552","https://openalex.org/I4210159245","https://openalex.org/I86175216"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marwa Chafii","raw_affiliation_strings":["ETIS UMR 8051, CY Paris Universit\u00e9, ENSEA, CNRS, Cergy, France","ETIS - UMR 8051 - Equipes Traitement de l'Information et Syst\u00e8mes (6, avenue du Ponceau. F 95014 CERGY-PONTOISE CEDEX - France)"],"raw_orcid":"https://orcid.org/0000-0003-0314-6585","affiliations":[{"raw_affiliation_string":"ETIS UMR 8051, CY Paris Universit\u00e9, ENSEA, CNRS, Cergy, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I86175216"]},{"raw_affiliation_string":"ETIS - UMR 8051 - Equipes Traitement de l'Information et Syst\u00e8mes (6, avenue du Ponceau. F 95014 CERGY-PONTOISE CEDEX - France)","institution_ids":["https://openalex.org/I4210148552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053749805","display_name":"Arsenia Chorti","orcid":"https://orcid.org/0000-0002-4458-3696"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210142324","display_name":"CY Cergy Paris Universit\u00e9","ror":"https://ror.org/043htjv09","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210142324"]},{"id":"https://openalex.org/I4210148552","display_name":"Equipes Traitement de l'Information et Syst\u00e8mes","ror":"https://ror.org/0592ata02","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I4210148552","https://openalex.org/I4210159245","https://openalex.org/I86175216"]},{"id":"https://openalex.org/I86175216","display_name":"\u00c9cole Nationale Sup\u00e9rieure de l'\u00c9lectronique et de ses Applications","ror":"https://ror.org/03qeacd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I86175216"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arsenia Chorti","raw_affiliation_strings":["ETIS UMR 8051, CY Paris Universit\u00e9, ENSEA, CNRS, Cergy, France","ETIS - UMR 8051 - Equipes Traitement de l'Information et Syst\u00e8mes (6, avenue du Ponceau. F 95014 CERGY-PONTOISE CEDEX - France)"],"raw_orcid":"https://orcid.org/0000-0002-4458-3696","affiliations":[{"raw_affiliation_string":"ETIS UMR 8051, CY Paris Universit\u00e9, ENSEA, CNRS, Cergy, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210142324","https://openalex.org/I86175216"]},{"raw_affiliation_string":"ETIS - UMR 8051 - Equipes Traitement de l'Information et Syst\u00e8mes (6, avenue du Ponceau. F 95014 CERGY-PONTOISE CEDEX - France)","institution_ids":["https://openalex.org/I4210148552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026573056","display_name":"Raed M. Shubair","orcid":"https://orcid.org/0000-0002-2586-9963"},"institutions":[{"id":"https://openalex.org/I120250893","display_name":"New York University Abu Dhabi","ror":"https://ror.org/00e5k0821","country_code":"AE","type":"education","lineage":["https://openalex.org/I120250893","https://openalex.org/I57206974"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Raed M. Shubair","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University (NYU) Abu Dhabi, Abu Dhabi, United Arab Emirates","New York University [Abu Dhabi] (PO Box 129188, Abu Dhabi, United Arab Emirates - \u00c9mirats arabes unis)"],"raw_orcid":"https://orcid.org/0000-0002-2586-9963","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University (NYU) Abu Dhabi, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I120250893"]},{"raw_affiliation_string":"New York University [Abu Dhabi] (PO Box 129188, Abu Dhabi, United Arab Emirates - \u00c9mirats arabes unis)","institution_ids":["https://openalex.org/I120250893"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA","Princeton University (Princeton, NJ 08544 USA - \u00c9tats-Unis)"],"raw_orcid":"https://orcid.org/0000-0002-2062-131X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University (Princeton, NJ 08544 USA - \u00c9tats-Unis)","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.1394,"has_fulltext":true,"cited_by_count":88,"citation_normalized_percentile":{"value":0.96536065,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"98337","last_page":"98347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9958999752998352,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8563780784606934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5361117720603943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5299564003944397},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5203304290771484},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5167093276977539},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5105410814285278},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4962528347969055},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4839787483215332},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4831392467021942},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43250223994255066},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4282371401786804},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4190962016582489},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.41427528858184814},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4119175970554352},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4109100103378296},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3892173171043396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8563780784606934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5361117720603943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5299564003944397},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5203304290771484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5167093276977539},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5105410814285278},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4962528347969055},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4839787483215332},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4831392467021942},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43250223994255066},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4282371401786804},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4190962016582489},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.41427528858184814},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4119175970554352},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4109100103378296},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3892173171043396},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2021.3095546","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3095546","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09477623.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03286968v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03286968","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, In press, &#x27E8;10.1109/access.2021.3095546&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:717c9e6833bb4b31b9a74ddc68b26ea5","is_oa":true,"landing_page_url":"https://doaj.org/article/717c9e6833bb4b31b9a74ddc68b26ea5","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":"IEEE Access, Vol 9, Pp 98337-98347 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3095546","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3095546","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09477623.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3389333781","display_name":null,"funder_award_id":"INS2I","funder_id":"https://openalex.org/F4320322892","funder_display_name":"Centre National de la Recherche Scientifique"},{"id":"https://openalex.org/G532648714","display_name":null,"funder_award_id":"16-IDEX-0008","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6748708539","display_name":"PSI","funder_award_id":"ANR-16-IDEX-0008","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320322892","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73"},{"id":"https://openalex.org/F4320336508","display_name":"Institut des sciences de l'information et de leurs interactions","ror":"https://ror.org/04z22qz54"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3182944083.pdf","grobid_xml":"https://content.openalex.org/works/W3182944083.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1590700688","https://openalex.org/W1630879738","https://openalex.org/W1710476689","https://openalex.org/W2086469521","https://openalex.org/W2133710940","https://openalex.org/W2143228105","https://openalex.org/W2278572312","https://openalex.org/W2412510955","https://openalex.org/W2462826356","https://openalex.org/W2535073990","https://openalex.org/W2548067256","https://openalex.org/W2548824642","https://openalex.org/W2557998141","https://openalex.org/W2620814161","https://openalex.org/W2756340466","https://openalex.org/W2761448003","https://openalex.org/W2770173563","https://openalex.org/W2774684174","https://openalex.org/W2792263949","https://openalex.org/W2893749619","https://openalex.org/W2898091194","https://openalex.org/W2903155668","https://openalex.org/W2903412352","https://openalex.org/W2917005499","https://openalex.org/W2947739547","https://openalex.org/W2951775284","https://openalex.org/W2952716587","https://openalex.org/W2960348360","https://openalex.org/W2964029185","https://openalex.org/W2980334917","https://openalex.org/W2984128863","https://openalex.org/W2995710070","https://openalex.org/W3006247566","https://openalex.org/W3009570207","https://openalex.org/W3011286333","https://openalex.org/W3021770953","https://openalex.org/W3021789920","https://openalex.org/W3030669241","https://openalex.org/W3033354888","https://openalex.org/W3087290698","https://openalex.org/W3088918359","https://openalex.org/W3102463400","https://openalex.org/W3105127423","https://openalex.org/W3106220687","https://openalex.org/W3121381145","https://openalex.org/W4298289240","https://openalex.org/W6631190155","https://openalex.org/W6637568146","https://openalex.org/W6715189028","https://openalex.org/W6746638498","https://openalex.org/W6749927861","https://openalex.org/W6755312952","https://openalex.org/W6755837410","https://openalex.org/W6756760591","https://openalex.org/W6779330150","https://openalex.org/W6782181651"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W3156763702","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501","https://openalex.org/W2786391746","https://openalex.org/W4381430104"],"abstract_inverted_index":{"Several":[0],"location-based":[1],"services":[2],"require":[3,38],"accurate":[4],"location":[5],"information":[6],"in":[7,46,96,115],"indoor":[8,122],"environments.":[9],"Recently,":[10],"it":[11],"has":[12],"been":[13],"shown":[14],"that":[15,143],"deep":[16],"neural":[17],"network":[18],"(DNN)":[19],"based":[20,80],"received":[21],"signal":[22],"strength":[23],"indicator":[24],"(RSSI)":[25],"fingerprints":[26],"achieve":[27],"high":[28],"localization":[29,154],"performance":[30],"with":[31],"low":[32],"online":[33],"complexity.":[34],"However,":[35],"such":[36],"methods":[37],"a":[39,82,153],"very":[40,61],"large":[41],"amount":[42],"of":[43,85,102,109,157],"training":[44],"data,":[45],"order":[47,97,116],"to":[48,98,117,125,152],"properly":[49],"design":[50],"and":[51,124,148,162],"optimize":[52],"the":[53,58,100,103,110,119,127,134,144],"DNN":[54],"model,":[55],"which":[56,75],"makes":[57],"data":[59,73,79,112,128,146,161],"collection":[60],"costly.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"propose":[67],"generative":[68],"adversarial":[69],"networks":[70],"for":[71,159,164],"RSSI":[72,78],"augmentation":[74,147],"generate":[76],"fake":[77,137],"on":[81],"small":[83],"set":[84],"real":[86],"collected":[87],"labeled":[88],"data.":[89,166],"The":[90],"developed":[91],"model":[92],"utilizes":[93],"semi-supervised":[94],"learning":[95],"predict":[99],"pseudo-labels":[101],"generated":[104,111],"RSSIs.":[105,138],"A":[106],"proper":[107],"selection":[108,149],"is":[113],"proposed":[114,145],"cover":[118],"entire":[120],"considered":[121],"environment,":[123],"reduce":[126],"generation":[129],"error":[130],"by":[131],"only":[132],"selecting":[133],"most":[135],"realistic":[136],"Extensive":[139],"numerical":[140],"experiments":[141],"show":[142],"scheme":[150],"leads":[151],"accuracy":[155],"improvement":[156],"21.69%":[158],"simulated":[160],"15.36%":[163],"experimental":[165]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
