{"id":"https://openalex.org/W4408941428","doi":"https://doi.org/10.1109/jiot.2025.3555601","title":"Few-Shot Indoor Localization Model Based on Simplified Graph Convolution and Adversarial Gaussian Process Regression","display_name":"Few-Shot Indoor Localization Model Based on Simplified Graph Convolution and Adversarial Gaussian Process Regression","publication_year":2025,"publication_date":"2025-03-29","ids":{"openalex":"https://openalex.org/W4408941428","doi":"https://doi.org/10.1109/jiot.2025.3555601"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3555601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3555601","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5102789433","display_name":"Xiaonian Li","orcid":"https://orcid.org/0000-0002-5705-6430"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaonian Li","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072849182","display_name":"Yi Guo","orcid":"https://orcid.org/0000-0002-6088-7198"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Guo","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404507","display_name":"Fangfang Li","orcid":"https://orcid.org/0000-0001-6850-2857"},"institutions":[{"id":"https://openalex.org/I3132882781","display_name":"Longdong University","ror":"https://ror.org/03wcn4h12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132882781"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangfang Li","raw_affiliation_strings":["School of Mathematics and Information Engineering, Longdong University, Qingyang, Gansu, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Engineering, Longdong University, Qingyang, Gansu, China","institution_ids":["https://openalex.org/I3132882781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102789433"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":5.8706,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93118373,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"13","first_page":"24490","last_page":"24502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9089000225067139,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9089000225067139,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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":0.7765112519264221},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.7192987203598022},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7118340730667114},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.6245449185371399},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5394495129585266},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5052061676979065},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5040332674980164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4769250750541687},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4720381498336792},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.44752347469329834},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43102043867111206},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4277774393558502},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42762964963912964},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4104253351688385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3919804096221924},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2649247646331787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24273625016212463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19977378845214844},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19024214148521423},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07744419574737549}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765112519264221},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.7192987203598022},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7118340730667114},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6245449185371399},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5394495129585266},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5052061676979065},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5040332674980164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4769250750541687},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4720381498336792},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44752347469329834},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43102043867111206},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4277774393558502},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42762964963912964},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4104253351688385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3919804096221924},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2649247646331787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24273625016212463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19977378845214844},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19024214148521423},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07744419574737549},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3555601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3555601","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5348506839","display_name":null,"funder_award_id":"23JRZA494","funder_id":"https://openalex.org/F4320336753","funder_display_name":"Changsha Science and Technology Project"},{"id":"https://openalex.org/G8527048704","display_name":null,"funder_award_id":"2023A-148","funder_id":"https://openalex.org/F4320328437","funder_display_name":"Samsung Science and Technology Foundation"}],"funders":[{"id":"https://openalex.org/F4320328437","display_name":"Samsung Science and Technology Foundation","ror":null},{"id":"https://openalex.org/F4320336753","display_name":"Changsha Science and Technology Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2607176470","https://openalex.org/W2802468127","https://openalex.org/W2807390368","https://openalex.org/W2883940491","https://openalex.org/W2889049333","https://openalex.org/W2906690588","https://openalex.org/W2950392941","https://openalex.org/W2951211023","https://openalex.org/W3004986376","https://openalex.org/W3008604130","https://openalex.org/W3013158437","https://openalex.org/W3027934792","https://openalex.org/W3030669241","https://openalex.org/W3035419842","https://openalex.org/W3043900635","https://openalex.org/W3047788099","https://openalex.org/W3127059291","https://openalex.org/W3127247879","https://openalex.org/W3137066621","https://openalex.org/W3197096512","https://openalex.org/W3210984561","https://openalex.org/W4210786856","https://openalex.org/W4213420280","https://openalex.org/W4285173448","https://openalex.org/W4306645606","https://openalex.org/W4307569722","https://openalex.org/W4313229589","https://openalex.org/W4316126728","https://openalex.org/W4319988715","https://openalex.org/W4361029849","https://openalex.org/W4361030002","https://openalex.org/W4382566789","https://openalex.org/W4385236882","https://openalex.org/W4386918926","https://openalex.org/W4388206638","https://openalex.org/W4389403489","https://openalex.org/W4389744130","https://openalex.org/W4390939146","https://openalex.org/W4401357290","https://openalex.org/W4403331785"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W566010457","https://openalex.org/W2326937258","https://openalex.org/W2600092203","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107"],"abstract_inverted_index":{"Indoor":[0],"localization":[1,26,83,104,213,260],"technology,":[2],"a":[3,92,100,108,136],"core":[4],"component":[5],"of":[6,15,31,47,82,155,218,247,258],"applications":[7],"such":[8],"as":[9],"smart":[10],"homes":[11],"and":[12,44,56,80,98,112,149,231,251],"the":[13,29,42,58,77,122,151,156,178,183,211,245,256],"Internet":[14],"Things":[16],"(IoT),":[17],"has":[18],"attracted":[19],"considerable":[20],"attention":[21],"in":[22,61,228],"recent":[23],"years.":[24],"Fingerprint-based":[25],"relies":[27],"on":[28,107],"construction":[30],"dense,":[32],"high-quality":[33],"fingerprint":[34,54,62,94,187,205],"databases":[35],"but":[36],"faces":[37],"two":[38],"major":[39],"challenges:":[40],"1)":[41],"time-consuming":[43],"complex":[45],"process":[46,115,165],"collecting":[48],"received":[49],"signal":[50],"strength":[51],"indicator":[52],"(RSSI)":[53],"samples":[55],"2)":[57],"significant":[59,226],"fluctuations":[60],"data":[63],"caused":[64],"by":[65,126],"indoor":[66,103,259],"environmental":[67,252],"factors,":[68],"which":[69],"lead":[70],"to":[71,171,196,203,234,244,255],"inaccurate":[72,204],"matching.":[73,206],"These":[74],"challenges":[75,246],"affect":[76],"accuracy,":[78,230],"stability,":[79],"scalability":[81],"systems.":[84],"To":[85],"address":[86],"these":[87],"issues,":[88],"this":[89,190],"article":[90],"proposes":[91],"sparse":[93,128],"sample":[95,123,249],"collection":[96,124],"strategy":[97],"introduces":[99,192],"novel":[101],"few-shot":[102],"model":[105,140,167,214],"based":[106],"simplified":[109,137],"graph":[110,138,179],"convolutional":[111,139],"adversarial":[113,163],"Gaussian":[114,164],"regression":[116,166],"(SGC-AGPR).":[117],"The":[118,237],"proposed":[119,212,238],"approach":[120,239],"reduces":[121],"burden":[125],"using":[127],"sampling,":[129],"aggregates":[130],"feature":[131],"from":[132],"neighboring":[133],"nodes":[134],"through":[135],"(SGC),":[141],"synthesizes":[142],"fingerprints":[143],"for":[144,175],"synthesized":[145],"reference":[146,157],"points":[147,158],"(SRPs),":[148],"incorporates":[150],"spatial":[152],"topological":[153],"relationships":[154],"(RPs).":[159],"Additionally,":[160],"an":[161,216,241],"optimized":[162],"(AGPR)":[168],"is":[169],"employed":[170],"provide":[172],"initial":[173],"values":[174],"SRP":[176],"within":[177],"convolution":[180],"process,":[181],"enhancing":[182],"statistical":[184],"correlation":[185],"between":[186],"samples.":[188],"Furthermore,":[189],"method":[191],"similarity-based":[193],"adaptive":[194],"weights":[195],"determine":[197],"aggregation":[198],"weights,":[199],"mitigating":[200],"issues":[201],"related":[202],"Experimental":[207],"results":[208],"demonstrate":[209],"that":[210],"achieves":[215],"accuracy":[217],"approximately":[219],"0.84":[220],"m":[221],"with":[222],"limited":[223,248],"samples,":[224],"offering":[225],"improvements":[227],"cost,":[229],"stability":[232],"compared":[233],"traditional":[235],"methods.":[236],"provides":[240],"innovative":[242],"solution":[243],"availability":[250],"interference,":[253],"contributing":[254],"advancement":[257],"technology.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
