{"id":"https://openalex.org/W4283812465","doi":"https://doi.org/10.1109/ncc55593.2022.9806797","title":"Fingerprint Image-Based Multi-Building 3D Indoor Wi-Fi Localization Using Convolutional Neural Networks","display_name":"Fingerprint Image-Based Multi-Building 3D Indoor Wi-Fi Localization Using Convolutional Neural Networks","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4283812465","doi":"https://doi.org/10.1109/ncc55593.2022.9806797"},"language":"en","primary_location":{"id":"doi:10.1109/ncc55593.2022.9806797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 National Conference on Communications (NCC)","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/A5037174866","display_name":"Amala Sonny","orcid":"https://orcid.org/0000-0003-0652-9119"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Amala Sonny","raw_affiliation_strings":["Indian Institute of Technology Hyderabad,Department of Electrical Engineering,India","Department of Electrical Engineering, Indian Institute of Technology Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad,Department of Electrical Engineering,India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067457382","display_name":"Abhinav Kumar","orcid":"https://orcid.org/0000-0002-6468-7054"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav Kumar","raw_affiliation_strings":["Indian Institute of Technology Hyderabad,Department of Electrical Engineering,India","Department of Electrical Engineering, Indian Institute of Technology Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad,Department of Electrical Engineering,India","institution_ids":["https://openalex.org/I65181880"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037174866"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.3692,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56791726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"111"},"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":0.9957000017166138,"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":0.9936000108718872,"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":0.8097974061965942},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7537441253662109},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6397013068199158},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6251411437988281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6175265908241272},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6060322523117065},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5662218332290649},{"id":"https://openalex.org/keywords/indoor-positioning-system","display_name":"Indoor positioning system","score":0.5094757676124573},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4933890402317047},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46998679637908936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4678524136543274},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3376888036727905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8097974061965942},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7537441253662109},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6397013068199158},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6251411437988281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6175265908241272},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6060322523117065},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5662218332290649},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.5094757676124573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4933890402317047},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46998679637908936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4678524136543274},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3376888036727905},{"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/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ncc55593.2022.9806797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 National Conference on Communications (NCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:raiith.iith.ac.in:10065","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400292","display_name":"Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65181880","host_organization_name":"Indian Institute of Technology Hyderabad","host_organization_lineage":["https://openalex.org/I65181880"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1630879738","https://openalex.org/W2105328082","https://openalex.org/W2112275383","https://openalex.org/W2125797950","https://openalex.org/W2163388754","https://openalex.org/W2170102584","https://openalex.org/W2404451347","https://openalex.org/W2616734353","https://openalex.org/W2753866421","https://openalex.org/W2768950724","https://openalex.org/W2887238168","https://openalex.org/W2890784233","https://openalex.org/W2899487481","https://openalex.org/W2901566077","https://openalex.org/W2903155668","https://openalex.org/W2963576433","https://openalex.org/W2977754667","https://openalex.org/W3011720806","https://openalex.org/W3128300091","https://openalex.org/W3128443425","https://openalex.org/W6790186635"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W2566091814","https://openalex.org/W4389371618","https://openalex.org/W2051501574","https://openalex.org/W2117826006","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327","https://openalex.org/W4317418868"],"abstract_inverted_index":{"Wi-Fi":[0,23],"based":[1],"indoor":[2,51,57,131],"localization":[3,62],"has":[4,28],"gained":[5],"much":[6],"attention":[7],"around":[8],"the":[9,98,101,105,109,117],"globe":[10],"due":[11,31],"to":[12,32,96],"its":[13,33],"widespread":[14],"reach":[15],"and":[16,80,90],"availability.":[17],"Amongst":[18],"several":[19],"possible":[20],"approaches":[21],"using":[22],"signals,":[24],"fingerprint":[25],"image-based":[26],"approach":[27,39,113],"become":[29],"popular":[30],"low":[34],"hardware":[35],"requirements.":[36],"Further,":[37],"this":[38],"can":[40],"be":[41],"used":[42],"alone":[43],"or":[44],"along":[45],"with":[46,60],"other":[47],"positioning":[48,58],"systems":[49],"for":[50],"localization.":[52,132],"However,":[53],"a":[54,71,82],"multi-building,":[55],"multi-floor":[56],"system":[59,93,123],"high":[61],"accuracy":[63,127],"is":[64,88,94,114],"required.":[65],"Motivated":[66],"by":[67,103],"this,":[68],"we":[69],"propose":[70],"Convolutional":[72],"Neural":[73],"Networks":[74],"(CNN)-based":[75],"approach.":[76],"For":[77],"feature":[78],"extraction":[79],"classification,":[81],"multi-output":[83,110],"multi-label":[84],"sequential":[85],"2D-CNN":[86],"classifier":[87],"developed":[89],"implemented.":[91],"The":[92,122],"able":[95],"predict":[97],"location":[99],"of":[100,128],"user":[102],"combining":[104],"classification":[106],"output":[107],"from":[108],"model.":[111],"This":[112],"verified":[115],"on":[116],"publicly":[118],"available":[119],"UJIIndoorLoc":[120],"database.":[121],"offers":[124],"an":[125],"average":[126],"97%":[129],"in":[130]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}