{"id":"https://openalex.org/W3109954446","doi":"https://doi.org/10.1109/ccece47787.2020.9255684","title":"Unsupervised Manifold Alignment for Wifi RSSI Indoor Localization","display_name":"Unsupervised Manifold Alignment for Wifi RSSI Indoor Localization","publication_year":2020,"publication_date":"2020-08-30","ids":{"openalex":"https://openalex.org/W3109954446","doi":"https://doi.org/10.1109/ccece47787.2020.9255684","mag":"3109954446"},"language":"en","primary_location":{"id":"doi:10.1109/ccece47787.2020.9255684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece47787.2020.9255684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029397738","display_name":"Zain Khaliq","orcid":"https://orcid.org/0000-0001-5168-2871"},"institutions":[{"id":"https://openalex.org/I55707380","display_name":"Manhattan University","ror":"https://ror.org/02xhnzg94","country_code":"US","type":"education","lineage":["https://openalex.org/I55707380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zain Khaliq","raw_affiliation_strings":["Manhattan College, Riverdale, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manhattan College, Riverdale, New York, USA","institution_ids":["https://openalex.org/I55707380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043905902","display_name":"Paul Mirdita","orcid":"https://orcid.org/0000-0002-4578-5097"},"institutions":[{"id":"https://openalex.org/I55707380","display_name":"Manhattan University","ror":"https://ror.org/02xhnzg94","country_code":"US","type":"education","lineage":["https://openalex.org/I55707380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Mirdita","raw_affiliation_strings":["Manhattan College, Riverdale, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manhattan College, Riverdale, New York, USA","institution_ids":["https://openalex.org/I55707380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055738950","display_name":"Ahmed Refaey","orcid":"https://orcid.org/0000-0002-1540-9349"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I55707380","display_name":"Manhattan University","ror":"https://ror.org/02xhnzg94","country_code":"US","type":"education","lineage":["https://openalex.org/I55707380"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Ahmed Refaey","raw_affiliation_strings":["Manhattan College, Riverdale, New York, USA","Western University, London, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manhattan College, Riverdale, New York, USA","institution_ids":["https://openalex.org/I55707380"]},{"raw_affiliation_string":"Western University, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100733413","display_name":"Xianbin Wang","orcid":"https://orcid.org/0000-0003-4890-0748"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xianbin Wang","raw_affiliation_strings":["Western University, London, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western University, London, Ontario, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9965999722480774,"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":0.7855352163314819},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.6072081327438354},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.6044472455978394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5803425312042236},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5442758202552795},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5277424454689026},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5079315304756165},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.49181893467903137},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4898776412010193},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.48186931014060974},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4729670584201813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3653854727745056},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.17736700177192688},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08064183592796326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7855352163314819},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.6072081327438354},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.6044472455978394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803425312042236},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5442758202552795},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5277424454689026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5079315304756165},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.49181893467903137},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4898776412010193},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.48186931014060974},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4729670584201813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3653854727745056},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.17736700177192688},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08064183592796326},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece47787.2020.9255684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece47787.2020.9255684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1661685040","https://openalex.org/W1986233332","https://openalex.org/W1998812182","https://openalex.org/W2054551089","https://openalex.org/W2063817599","https://openalex.org/W2140738108","https://openalex.org/W2150006357","https://openalex.org/W2170102584","https://openalex.org/W2343041401","https://openalex.org/W2397338926","https://openalex.org/W2515857156","https://openalex.org/W2736340677","https://openalex.org/W2751904527","https://openalex.org/W2790139773","https://openalex.org/W2790549555","https://openalex.org/W2803692342","https://openalex.org/W2806729898","https://openalex.org/W2890773082","https://openalex.org/W2898051988","https://openalex.org/W2955338161","https://openalex.org/W2972355358","https://openalex.org/W4255865707"],"related_works":["https://openalex.org/W2387045723","https://openalex.org/W117517268","https://openalex.org/W2573981081","https://openalex.org/W2397338926","https://openalex.org/W2085003924","https://openalex.org/W2384392227","https://openalex.org/W2380477800","https://openalex.org/W1976359930","https://openalex.org/W2142781195","https://openalex.org/W2888431323"],"abstract_inverted_index":{"There":[0],"is":[1,21,59,142,184,191,220,228],"a":[2,54,111,202,223,231],"wealth":[3],"of":[4,23,56,104,159,239],"analysis":[5],"techniques":[6,25],"that":[7,113,172,181,235],"researchers":[8],"across":[9],"the":[10,41,63,71,97,102,145,154,157,167,177,216,237],"world":[11],"are":[12,36,69],"implementing":[13],"for":[14,27,176,222],"better":[15],"indoor":[16,28],"localization.":[17,31,105],"The":[18],"RSSI":[19],"fingerprinting":[20],"one":[22,80,131],"many":[24],"used":[26,37,60,116],"and":[29,51,128,170,189],"outdoor":[30],"In":[32,106],"addition,":[33],"other":[34],"fingerprints":[35],"to":[38,61,84,95,100,117],"assist":[39],"in":[40,162,210],"localization":[42,190,224],"collected":[43],"from":[44,122],"several":[45],"sources":[46,58,68],"such":[47],"as":[48,144],"camera,":[49,127],"radar,":[50],"Lidar.":[52],"Ideally,":[53],"combination":[55],"these":[57,67,89,240],"locate":[62],"same":[64,72],"object.":[65],"Precisely,":[66],"collecting":[70],"data":[73],"using":[74],"different":[75,85,123],"dimensions":[76,86,124],"ultimately":[77],"building":[78],"upon":[79],"big":[81],"system.":[82,178],"Due":[83],"set":[87],"by":[88],"sources,":[90],"it":[91,136,227],"often":[92],"becomes":[93],"difficult":[94],"train":[96,135],"overall":[98],"system":[99,188],"achieve":[101],"task":[103],"this":[107,211],"paper,":[108],"we":[109],"propose":[110],"technique":[112,141,183],"can":[114],"be":[115,174],"incorporate":[118],"training":[119],"multiple":[120,160],"datasets":[121,161],"(e.g.":[125],"Lidar,":[126],"radar)":[129],"into":[130,186],"global":[132],"dataset,":[133],"then":[134],"all":[137],"at":[138],"once.":[139],"This":[140],"known":[143],"Manifold":[146,198,217],"Alignment.":[147],"Our":[148],"proposed":[149,197],"manifold":[150,238],"alignment":[151],"algorithm":[152,200],"bridges":[153],"gap,":[155],"allowing":[156],"inclusion":[158],"our":[163,182,187,196],"application":[164],"whilst":[165],"constraining":[166],"computational":[168],"time":[169],"storage":[171],"would":[173],"required":[175],"We":[179],"assume":[180],"embedded":[185],"achieved":[192],"through":[193],"either":[194],"computing":[195],"Alignment":[199,218],"over":[201],"local":[203],"device,":[204],"edge":[205],"server,":[206],"or":[207],"cloud.":[208],"Results":[209],"paper":[212],"show":[213],"how":[214],"well":[215],"Algorithm":[219],"beneficial":[221],"problem":[225],"where":[226],"implemented":[229],"inside":[230],"machine":[232],"learning":[233],"model":[234],"computes":[236],"datasets.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
