{"id":"https://openalex.org/W1999022712","doi":"https://doi.org/10.1109/wimob.2014.6962230","title":"Robust Wi-Fi based indoor positioning with ensemble learning","display_name":"Robust Wi-Fi based indoor positioning with ensemble learning","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1999022712","doi":"https://doi.org/10.1109/wimob.2014.6962230","mag":"1999022712"},"language":"en","primary_location":{"id":"doi:10.1109/wimob.2014.6962230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob.2014.6962230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","raw_type":"proceedings-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/A5074964468","display_name":"Daisuke Taniuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daisuke Taniuchi","raw_affiliation_strings":["Osaka University, Graduate School of Information Science and Technology","Osaka University,Graduate School of Information Science and Technology,Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Graduate School of Information Science and Technology","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039456378","display_name":"Takuya Maekawa","orcid":"https://orcid.org/0000-0002-7227-580X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Maekawa","raw_affiliation_strings":["Osaka University, Graduate School of Information Science and Technology","Osaka University,Graduate School of Information Science and Technology,Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Graduate School of Information Science and Technology","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074964468"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":1.6747,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.85641937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"592","last_page":"597"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8083941340446472},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7903021574020386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673225462436676},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6688153743743896},{"id":"https://openalex.org/keywords/indoor-positioning-system","display_name":"Indoor positioning system","score":0.6255401968955994},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5817732810974121},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5335557460784912},{"id":"https://openalex.org/keywords/positioning-system","display_name":"Positioning system","score":0.45770999789237976},{"id":"https://openalex.org/keywords/hybrid-positioning-system","display_name":"Hybrid positioning system","score":0.44390881061553955},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3481976389884949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3149226903915405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19233879446983337},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18387383222579956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08154210448265076}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8083941340446472},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7903021574020386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673225462436676},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6688153743743896},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.6255401968955994},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5817732810974121},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5335557460784912},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.45770999789237976},{"id":"https://openalex.org/C187394410","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Hybrid positioning system","level":4,"score":0.44390881061553955},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3481976389884949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3149226903915405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19233879446983337},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18387383222579956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08154210448265076},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.0},{"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wimob.2014.6962230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob.2014.6962230","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W225523","https://openalex.org/W2027330863","https://openalex.org/W2061883790","https://openalex.org/W2100989187","https://openalex.org/W2121469103","https://openalex.org/W2124945426","https://openalex.org/W2125384973","https://openalex.org/W2127094564","https://openalex.org/W2158404046","https://openalex.org/W6600017260"],"related_works":["https://openalex.org/W189713034","https://openalex.org/W2755401669","https://openalex.org/W2552390423","https://openalex.org/W2583886250","https://openalex.org/W3204118479","https://openalex.org/W2899058086","https://openalex.org/W1926767291","https://openalex.org/W2306569468","https://openalex.org/W3126613916","https://openalex.org/W2144194782"],"abstract_inverted_index":{"This":[0,47],"paper":[1,48],"proposes":[2,49],"a":[3,50,66,104,136,143],"new":[4],"Wi-Fi":[5,15,20],"based":[6,21],"indoor":[7,22,51],"positioning":[8,23,33,52,68],"method":[9,53],"that":[10],"is":[11,91,113],"robust":[12,67,92],"over":[13,93],"unstable":[14,26,39,94],"access":[16],"points":[17],"(APs).":[18],"Because":[19,99],"relies":[24],"on":[25],"and":[27,88],"uncontrollable":[28],"infrastructure":[29],"(Wi-Fi":[30],"APs),":[31],"the":[32,44,76,85,111,117,127],"performance":[34],"significantly":[35],"decreases":[36],"when":[37],"such":[38],"APs":[40,108],"are":[41],"included":[42],"in":[43,139],"localization":[45],"system.":[46],"by":[54,116],"employing":[55],"ensemble":[56],"of":[57,107,119,130],"weak":[58,101,132],"position":[59,73,138],"estimators,":[60],"which":[61],"permits":[62],"us":[63],"to":[64,135,141],"construct":[65],"model.":[69],"Our":[70,122],"proposed":[71],"boosted":[72],"estimator":[74,81,102,112,133],"has":[75],"following":[77],"features.":[78],"1)":[79],"The":[80],"does":[82],"not":[83,114],"overfit":[84],"training":[86],"data":[87],"thus":[89],"it":[90],"signals":[95],"from":[96],"APs.":[97],"2)":[98],"each":[100,131],"employs":[103],"small":[105],"number":[106],"for":[109],"positioning,":[110],"affected":[115],"curse":[118],"dimensionality.":[120],"3)":[121],"model":[123],"can":[124],"adaptively":[125],"change":[126],"weight":[128],"(importance)":[129],"according":[134],"user's":[137],"order":[140],"achieve":[142],"position-aware":[144],"precise":[145],"localization.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}