{"id":"https://openalex.org/W3160908910","doi":"https://doi.org/10.1109/wisnet51848.2021.9413791","title":"Multi-Detector Deep Neural Network for High Accuracy Wi-Fi Fingerprint Positioning","display_name":"Multi-Detector Deep Neural Network for High Accuracy Wi-Fi Fingerprint Positioning","publication_year":2021,"publication_date":"2021-01-17","ids":{"openalex":"https://openalex.org/W3160908910","doi":"https://doi.org/10.1109/wisnet51848.2021.9413791","mag":"3160908910"},"language":"en","primary_location":{"id":"doi:10.1109/wisnet51848.2021.9413791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wisnet51848.2021.9413791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT)","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/A5049861205","display_name":"Chung-Yuan Chen","orcid":"https://orcid.org/0000-0003-1250-3046"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chung-Yuan Chen","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090358419","display_name":"Alexander I-Chi Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Alexander I-Chi Lai","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037214778","display_name":"Ruey\u2010Beei Wu","orcid":"https://orcid.org/0000-0001-5735-2152"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ruey-Beei Wu","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049861205"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.4011,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59381787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"39"},"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":0.9954000115394592,"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":0.9950000047683716,"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/fingerprint","display_name":"Fingerprint (computing)","score":0.7566531896591187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7252727150917053},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5962556600570679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5781041979789734},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5707101225852966},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5467875599861145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3850961923599243},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1472432017326355}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7566531896591187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252727150917053},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5962556600570679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5781041979789734},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5707101225852966},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5467875599861145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3850961923599243},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1472432017326355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wisnet51848.2021.9413791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wisnet51848.2021.9413791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1662296181","https://openalex.org/W2051376734","https://openalex.org/W2121170352","https://openalex.org/W2170102584","https://openalex.org/W2552911271","https://openalex.org/W2761448003","https://openalex.org/W2905543083","https://openalex.org/W2922059131","https://openalex.org/W2963037989","https://openalex.org/W2964029185","https://openalex.org/W3105127423","https://openalex.org/W3105610971","https://openalex.org/W6677935285"],"related_works":["https://openalex.org/W1502614025","https://openalex.org/W2945952022","https://openalex.org/W4293863368","https://openalex.org/W2355869368","https://openalex.org/W2315459412","https://openalex.org/W2734991885","https://openalex.org/W1925241029","https://openalex.org/W2187565995","https://openalex.org/W2389470892","https://openalex.org/W2197519107"],"abstract_inverted_index":{"A":[0],"Deep":[1],"Neural":[2],"Network":[3],"(DNN)-based":[4],"positioning":[5,89],"algorithm":[6,51,85],"with":[7,90],"multi-detector":[8],"architecture":[9],"is":[10,38,86],"proposed":[11],"for":[12,40],"high":[13],"accuracy":[14],"Wi-Fi":[15,70],"fingerprint":[16,61],"positioning.":[17],"Our":[18],"DNN-based":[19],"approach":[20],"fuses":[21],"the":[22,27,48,107],"scalability":[23],"of":[24,29,35,88],"classifiers":[25],"and":[26,43,54,67],"precision":[28],"regressors.":[30],"Moreover,":[31],"a":[32,57,74,82,97],"pre-processing":[33],"pipeline":[34],"signal":[36],"readings":[37],"added":[39],"characteristic":[41],"grouping":[42],"intra-sample":[44],"normalization":[45],"to":[46],"improve":[47],"robustness.":[49],"The":[50],"was":[52],"trained":[53],"tested":[55],"on":[56],"robotically":[58],"surveyed":[59],"indoor":[60],"dataset":[62],"including":[63],"349":[64],"reference":[65],"points":[66,72],"191":[68],"effective":[69],"access":[71],"in":[73,96],"30":[75],"m":[76,79,92],"\u00d7":[77],"12":[78],"area.":[80],"As":[81],"result,":[83],"our":[84],"capable":[87],"1.08":[91],"mean":[93],"distance":[94],"error":[95],"leave-10%-out":[98],"test,":[99],"performing":[100],"nearly":[101],"three":[102],"times":[103],"as":[104,106],"good":[105],"referenced":[108],"WKNN":[109],"baseline.":[110]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
