{"id":"https://openalex.org/W3017386599","doi":"https://doi.org/10.1155/2020/5710450","title":"A Hybrid Wi-Fi Fingerprint-Based Localization Scheme Achieved by Combining Fisher Score and Stacked Sparse Autoencoder Algorithms","display_name":"A Hybrid Wi-Fi Fingerprint-Based Localization Scheme Achieved by Combining Fisher Score and Stacked Sparse Autoencoder Algorithms","publication_year":2020,"publication_date":"2020-04-14","ids":{"openalex":"https://openalex.org/W3017386599","doi":"https://doi.org/10.1155/2020/5710450","mag":"3017386599"},"language":"en","primary_location":{"id":"doi:10.1155/2020/5710450","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/5710450","pdf_url":"http://downloads.hindawi.com/journals/misy/2020/5710450.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/misy/2020/5710450.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100741747","display_name":"Zhongyuan Wang","orcid":"https://orcid.org/0000-0002-1366-8929"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Wang","raw_affiliation_strings":["Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221006, China","School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221006, China","institution_ids":[]},{"raw_affiliation_string":"School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371704","display_name":"Zijian Wang","orcid":"https://orcid.org/0000-0002-3618-2227"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zijian Wang","raw_affiliation_strings":["Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221006, China","School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221006, China","institution_ids":[]},{"raw_affiliation_string":"School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li Fan","orcid":"https://orcid.org/0000-0002-9633-1634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Fan","raw_affiliation_strings":["Jiangsu Xingyue Surveying and Mapping Technology Co. Ltd., Yancheng 224007, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Xingyue Surveying and Mapping Technology Co. Ltd., Yancheng 224007, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103171046","display_name":"Zhihao Yu","orcid":"https://orcid.org/0000-0001-5885-8753"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Yu","raw_affiliation_strings":["Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221006, China","School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221006, China","institution_ids":[]},{"raw_affiliation_string":"School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100371704"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.6239,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6733988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"14"},"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":0.9937000274658203,"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":0.989300012588501,"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":0.870241641998291},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6991392970085144},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6476889848709106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6223058104515076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5917520523071289},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5305125117301941},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4982790946960449},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4835891127586365},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4563917815685272},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3612712323665619},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3461185693740845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2876632809638977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.870241641998291},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6991392970085144},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6476889848709106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6223058104515076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5917520523071289},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5305125117301941},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4982790946960449},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4835891127586365},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4563917815685272},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3612712323665619},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3461185693740845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2876632809638977},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2020/5710450","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/5710450","pdf_url":"http://downloads.hindawi.com/journals/misy/2020/5710450.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:978b6e69677a46c99e1d3138a683658f","is_oa":true,"landing_page_url":"https://doaj.org/article/978b6e69677a46c99e1d3138a683658f","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/5710450","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/5710450","pdf_url":"http://downloads.hindawi.com/journals/misy/2020/5710450.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1150195295","display_name":null,"funder_award_id":"BK20181361","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3271168736","display_name":null,"funder_award_id":"2011QNA02","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3910829908","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5782392902","display_name":null,"funder_award_id":"BK20181361","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6806802732","display_name":null,"funder_award_id":"BK2018","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G76695158","display_name":null,"funder_award_id":"2011QNA02","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7698583915","display_name":null,"funder_award_id":"2016YFB0502102","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G770456615","display_name":null,"funder_award_id":"Funds","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7836767946","display_name":null,"funder_award_id":"2016YFB0502102","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3017386599.pdf","grobid_xml":"https://content.openalex.org/works/W3017386599.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2007268973","https://openalex.org/W2025241138","https://openalex.org/W2036998483","https://openalex.org/W2108126247","https://openalex.org/W2117668287","https://openalex.org/W2146081694","https://openalex.org/W2294656113","https://openalex.org/W2318379126","https://openalex.org/W2561512924","https://openalex.org/W2562522049","https://openalex.org/W2623152108","https://openalex.org/W2762962020","https://openalex.org/W2776371898","https://openalex.org/W2788453142","https://openalex.org/W2800723882","https://openalex.org/W2836844976","https://openalex.org/W2891088180","https://openalex.org/W2895070210","https://openalex.org/W2911530966","https://openalex.org/W2924468481","https://openalex.org/W2946079567","https://openalex.org/W2953445048","https://openalex.org/W2975511241","https://openalex.org/W2976505702"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645"],"abstract_inverted_index":{"Along":[0],"with":[1,81,106,128,174],"the":[2,25,49,56,72,88,95,107,110,114,135,143,147,152,156,169,178],"advancement":[3],"of":[4,51,109,188],"wireless":[5],"technology,":[6],"indoor":[7,30],"localization":[8,31,58,103,120,125,157,171,183],"technology":[9],"based":[10],"on":[11],"Wi-Fi":[12,29],"has":[13],"received":[14],"considerable":[15],"attention":[16],"from":[17],"academia":[18],"and":[19,32,87,113,142,159,168],"industry.":[20],"The":[21],"fingerprint-based":[22,131],"method":[23,67],"is":[24],"mainstream":[26],"approach":[27],"for":[28],"can":[33],"be":[34],"easily":[35],"implemented":[36],"without":[37],"additional":[38],"hardware.":[39],"However,":[40],"signal":[41],"fluctuations":[42],"constitute":[43],"a":[44,63,101],"critical":[45],"issue":[46],"pertaining":[47],"to":[48,54,70,116,123,163],"extraction":[50,66,166],"robust":[52],"features":[53,80,90,189],"achieve":[55],"required":[57],"performance.":[59],"This":[60],"study":[61,99],"presents":[62],"fingerprint":[64],"feature":[65,165],"commonly":[68],"referred":[69],"as":[71],"Fisher":[73,83],"score\u2013stacked":[74],"sparse":[75],"autoencoder":[76],"(Fisher\u2013SSAE)":[77],"method.":[78],"Some":[79],"low":[82],"scores":[84],"were":[85,91],"eliminated,":[86],"representative":[89],"then":[92],"extracted":[93],"by":[94],"SSAE.":[96],"Furthermore,":[97],"this":[98],"establishes":[100],"hybrid":[102],"model":[104,112],"constructed":[105],"use":[108],"global":[111],"submodel":[115],"avoid":[117],"significant":[118],"coordinate":[119],"errors":[121],"attributed":[122],"subregional":[124],"errors.":[126],"Combined":[127],"three":[129],"accessible":[130],"positioning":[132],"methods,":[133,177],"namely,":[134],"support":[136],"vector":[137],"regression,":[138,141],"random":[139],"forest":[140],"multiplayer":[144],"perceptron":[145],"classification,":[146],"experimental":[148],"results":[149],"demonstrate":[150],"that":[151],"proposed":[153,179],"methods":[154,167,180],"improve":[155],"accuracy":[158],"response":[160],"time":[161],"compared":[162],"other":[164],"single":[170],"model.":[172],"Compared":[173],"some":[175],"state-of-the-art":[176],"have":[181],"better":[182],"performances":[184],"when":[185],"large":[186],"number":[187],"are":[190],"used.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
