{"id":"https://openalex.org/W3044962421","doi":"https://doi.org/10.1109/iwssip48289.2020.9145183","title":"An Experimental Analysis for Detecting Wi-Fi Network Associations Using Multi-label Learning","display_name":"An Experimental Analysis for Detecting Wi-Fi Network Associations Using Multi-label Learning","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3044962421","doi":"https://doi.org/10.1109/iwssip48289.2020.9145183","mag":"3044962421"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip48289.2020.9145183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5037145215","display_name":"Guilherme Henrique Apostolo","orcid":"https://orcid.org/0000-0001-7833-7752"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Guilherme Henrique Apostolo","raw_affiliation_strings":["M\u00eddiacom Lab, Universidade Federal Fluminense, Niter\u00f3i, Brazil"],"affiliations":[{"raw_affiliation_string":"M\u00eddiacom Lab, Universidade Federal Fluminense, Niter\u00f3i, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073335805","display_name":"Fl\u00e1via Bernardini","orcid":"https://orcid.org/0000-0001-8801-827X"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Flavia Bernardini","raw_affiliation_strings":["Institute of Computing, Universidade Federal Fluminense, Niter\u00f3i, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, Universidade Federal Fluminense, Niter\u00f3i, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022709088","display_name":"Luiz Magalh\u00e3es","orcid":"https://orcid.org/0000-0002-1651-3156"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz C. Schara Magalhaes","raw_affiliation_strings":["Universidade Federal Fluminense, Niter\u00f3i, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense, Niter\u00f3i, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017693414","display_name":"D\u00e9bora C. Muchaluat-Saade","orcid":"https://orcid.org/0000-0002-1233-9736"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Debora C. Muchaluat-Saade","raw_affiliation_strings":["M\u00eddiacom Lab, Universidade Federal Fluminense, Niter\u00f3i, Brazil"],"affiliations":[{"raw_affiliation_string":"M\u00eddiacom Lab, Universidade Federal Fluminense, Niter\u00f3i, Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037145215"],"corresponding_institution_ids":["https://openalex.org/I161127581"],"apc_list":null,"apc_paid":null,"fwci":1.2816,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83520221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"14","issue":null,"first_page":"423","last_page":"428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/hvac","display_name":"HVAC","score":0.8858373165130615},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.7689687609672546},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7355169653892517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.720123291015625},{"id":"https://openalex.org/keywords/building-automation","display_name":"Building automation","score":0.6158310770988464},{"id":"https://openalex.org/keywords/building-management-system","display_name":"Building management system","score":0.6075274348258972},{"id":"https://openalex.org/keywords/air-conditioning","display_name":"Air conditioning","score":0.5614033937454224},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5016148090362549},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4707038104534149},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4197348356246948},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3872774839401245},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3050093650817871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.265997052192688},{"id":"https://openalex.org/keywords/architectural-engineering","display_name":"Architectural engineering","score":0.23750874400138855},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16313233971595764}],"concepts":[{"id":"https://openalex.org/C122346748","wikidata":"https://www.wikidata.org/wiki/Q1798773","display_name":"HVAC","level":3,"score":0.8858373165130615},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.7689687609672546},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7355169653892517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720123291015625},{"id":"https://openalex.org/C83931994","wikidata":"https://www.wikidata.org/wiki/Q1149653","display_name":"Building automation","level":2,"score":0.6158310770988464},{"id":"https://openalex.org/C106527866","wikidata":"https://www.wikidata.org/wiki/Q1489497","display_name":"Building management system","level":3,"score":0.6075274348258972},{"id":"https://openalex.org/C103742991","wikidata":"https://www.wikidata.org/wiki/Q173725","display_name":"Air conditioning","level":2,"score":0.5614033937454224},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5016148090362549},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4707038104534149},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4197348356246948},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3872774839401245},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3050093650817871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.265997052192688},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.23750874400138855},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16313233971595764},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip48289.2020.9145183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip48289.2020.9145183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1728842521","https://openalex.org/W1977177161","https://openalex.org/W1991724394","https://openalex.org/W2115873741","https://openalex.org/W2117503282","https://openalex.org/W2181616869","https://openalex.org/W2338457167","https://openalex.org/W2751969628","https://openalex.org/W2752271148","https://openalex.org/W2800683445","https://openalex.org/W2917892561","https://openalex.org/W2921833148","https://openalex.org/W4252598243","https://openalex.org/W6637572315","https://openalex.org/W6685764666","https://openalex.org/W6830865332"],"related_works":["https://openalex.org/W3045934583","https://openalex.org/W2437015738","https://openalex.org/W4312641736","https://openalex.org/W4283833227","https://openalex.org/W3093054803","https://openalex.org/W3046823714","https://openalex.org/W2348218441","https://openalex.org/W3021806226","https://openalex.org/W4205684936","https://openalex.org/W2329485921"],"abstract_inverted_index":{"Buildings":[0],"play":[1],"an":[2],"important":[3],"role":[4],"in":[5,120],"our":[6,121],"lives,":[7],"although":[8],"they":[9],"require":[10],"great":[11],"amounts":[12],"of":[13,21,79,93,103,130,137],"energy":[14],"and":[15,23,36,40],"resources":[16],"to":[17,30,66,82,98],"operate.":[18],"The":[19,115],"creation":[20],"cheaper":[22],"more":[24],"efficient":[25],"smart":[26],"building":[27,32,52],"management":[28],"systems":[29,46],"control":[31],"infrastructure":[33],"as":[34],"lighting":[35],"HVAC":[37],"(Heating,":[38],"Ventilating":[39],"Air":[41],"Conditioning)":[42],"is":[43],"required.":[44],"Those":[45],"should":[47],"correctly":[48,67],"identify":[49],"users":[50],"inside":[51,70],"areas":[53],"for":[54,134,151],"only":[55],"providing":[56,104],"the":[57,91,113,144],"necessary":[58],"resources.":[59],"Different":[60],"sensor":[61],"networks":[62,74],"can":[63],"be":[64],"used":[65,119],"detect":[68],"people":[69],"buildings":[71],"areas.":[72],"Wi-Fi":[73],"have":[75],"attracted":[76],"a":[77,135],"lot":[78],"attention":[80],"due":[81],"its":[83],"large":[84],"deployment.":[85],"In":[86],"this":[87],"work,":[88],"we":[89],"evaluate":[90],"performance":[92],"Multi-label":[94],"machine":[95],"learning":[96],"methods":[97],"build":[99],"classification":[100],"models":[101],"capable":[102],"wireless":[105],"network":[106,129],"access":[107,153],"points":[108],"(AP)":[109],"occupancy":[110],"predictions":[111],"throughout":[112],"day.":[114],"APs":[116],"association":[117],"history":[118],"experiment":[122],"was":[123,149],"built":[124],"using":[125],"data":[126],"from":[127],"SCIFI":[128],"Fluminense":[131],"Federal":[132],"University":[133],"period":[136],"6":[138],"months.":[139],"Our":[140],"results":[141],"show":[142],"that":[143],"best":[145],"overall":[146],"achieved":[147],"accuracy":[148],"87.04%":[150],"predicting":[152],"point":[154],"occupancy.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}