{"id":"https://openalex.org/W2729580475","doi":"https://doi.org/10.1109/siu.2017.7960161","title":"A hybrid fingerprint based indoor positioning with extreme learning machine","display_name":"A hybrid fingerprint based indoor positioning with extreme learning machine","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2729580475","doi":"https://doi.org/10.1109/siu.2017.7960161","mag":"2729580475"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5037222172","display_name":"Sinem Bozkurt Keser","orcid":"https://orcid.org/0000-0002-8013-6922"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Sinem Bozkurt Keser","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059911695","display_name":"Ahmet Yaz\u0131c\u0131","orcid":"https://orcid.org/0000-0001-5589-2032"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ahmet Yazici","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003391938","display_name":"Serkan G\u00fcnal","orcid":"https://orcid.org/0000-0002-9691-1575"},"institutions":[{"id":"https://openalex.org/I133743585","display_name":"Anadolu University","ror":"https://ror.org/05nz37n09","country_code":"TR","type":"education","lineage":["https://openalex.org/I133743585"]},{"id":"https://openalex.org/I4210091745","display_name":"Eski\u015fehir City Hospital","ror":"https://ror.org/00czdkn85","country_code":"TR","type":"healthcare","lineage":["https://openalex.org/I1303077703","https://openalex.org/I4210091745"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Serkan Gunal","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Anadolu \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Anadolu \u00dcniversitesi, Eski\u015fehir, T\u00fcrkiye","institution_ids":["https://openalex.org/I133743585","https://openalex.org/I4210091745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037222172"],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":null,"apc_paid":null,"fwci":0.5734,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69093129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"4"},"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9937000274658203,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7526915073394775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7371627688407898},{"id":"https://openalex.org/keywords/indoor-positioning-system","display_name":"Indoor positioning system","score":0.6918809413909912},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6749549508094788},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6395065784454346},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5747453570365906},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5392739772796631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5366437435150146},{"id":"https://openalex.org/keywords/hybrid-positioning-system","display_name":"Hybrid positioning system","score":0.497313529253006},{"id":"https://openalex.org/keywords/positioning-system","display_name":"Positioning system","score":0.48984667658805847},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48419836163520813},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4729568362236023},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45616230368614197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39314746856689453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34759682416915894},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16825762391090393},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11851522326469421},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.07338514924049377}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7526915073394775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371627688407898},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.6918809413909912},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6749549508094788},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6395065784454346},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5747453570365906},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5392739772796631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5366437435150146},{"id":"https://openalex.org/C187394410","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Hybrid positioning system","level":4,"score":0.497313529253006},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.48984667658805847},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48419836163520813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4729568362236023},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45616230368614197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39314746856689453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34759682416915894},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16825762391090393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11851522326469421},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.07338514924049377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural 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},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1524629198","https://openalex.org/W1611024367","https://openalex.org/W1637458466","https://openalex.org/W1808644423","https://openalex.org/W1977556410","https://openalex.org/W2006427429","https://openalex.org/W2111072639","https://openalex.org/W2170102584","https://openalex.org/W2244101296","https://openalex.org/W2463952848","https://openalex.org/W2509428626","https://openalex.org/W2521972171","https://openalex.org/W2532600537","https://openalex.org/W2559946517","https://openalex.org/W6631656666","https://openalex.org/W6638249342"],"related_works":["https://openalex.org/W189713034","https://openalex.org/W2755401669","https://openalex.org/W4317418868","https://openalex.org/W2552390423","https://openalex.org/W3204118479","https://openalex.org/W2899058086","https://openalex.org/W1926767291","https://openalex.org/W2306569468","https://openalex.org/W2583886250","https://openalex.org/W4379364347"],"abstract_inverted_index":{"Though":[0],"global":[1],"positioning":[2,39,53],"system":[3,40],"is":[4,12,31,55],"a":[5,42],"well-accepted":[6],"technology":[7],"for":[8,14,20,101],"outdoor":[9],"positioning,":[10],"it":[11,30],"ineffective":[13],"indoor":[15,38],"environment.":[16],"Therefore,":[17],"the":[18,35,85,90,108,111],"search":[19],"effective":[21],"and":[22,47,79],"cheap":[23],"solutions":[24],"still":[25],"continues.":[26],"In":[27],"this":[28],"work,":[29],"aimed":[32],"to":[33,75],"enhance":[34],"performance":[36],"of":[37,60,69,89,110],"by":[41,57],"hybrid":[43],"approach":[44],"integrating":[45],"WiFi":[46],"magnetic":[48],"field":[49],"sensor":[50,62],"data.":[51],"The":[52,87],"accuracy":[54],"improved":[56],"taking":[58],"advantages":[59],"these":[61],"types.":[63],"Besides,":[64],"significant":[65],"improvements":[66],"in":[67],"terms":[68],"computation":[70],"time":[71],"are":[72,93],"achieved":[73],"thanks":[74],"`ReliefF'":[76],"feature":[77],"selection":[78],"`k-means'":[80],"clustering":[81],"algorithms":[82],"employed":[83],"within":[84],"work.":[86],"results":[88],"tests,":[91],"which":[92],"obtained":[94],"using":[95],"Extreme":[96],"Learning":[97],"Machine":[98],"models":[99],"constituted":[100],"each":[102],"region":[103],"acquired":[104],"after":[105],"clustering,":[106],"approves":[107],"effectiveness":[109],"proposed":[112],"method.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
