{"id":"https://openalex.org/W4404511670","doi":"https://doi.org/10.1080/08839514.2024.2429321","title":"Multi-Source Domain Adaptation Using Ambient Sensor Data","display_name":"Multi-Source Domain Adaptation Using Ambient Sensor Data","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404511670","doi":"https://doi.org/10.1080/08839514.2024.2429321"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2429321","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2429321","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/08839514.2024.2429321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077818685","display_name":"Jawher Dridi","orcid":"https://orcid.org/0000-0001-6062-2897"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jawher Dridi","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008962576","display_name":"Manar Amayri","orcid":"https://orcid.org/0000-0002-5610-8833"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Manar Amayri","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090600716","display_name":"Nizar Bouguila","orcid":"https://orcid.org/0000-0001-7224-7940"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nizar Bouguila","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7224-7940","affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090600716"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":0.2378,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46852405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9853000044822693,"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":0.9853000044822693,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9832000136375427,"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"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8702901005744934},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6010464429855347},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5663893222808838},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49557626247406006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3562858998775482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2559717893600464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8702901005744934},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6010464429855347},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5663893222808838},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49557626247406006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3562858998775482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2559717893600464},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2024.2429321","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2429321","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d11afc37eb5840c7a4aa4970df2cf7cc","is_oa":true,"landing_page_url":"https://doaj.org/article/d11afc37eb5840c7a4aa4970df2cf7cc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2429321","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2429321","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321588","display_name":"Concordia University","ror":"https://ror.org/0420zvk78"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W1496163732","https://openalex.org/W1973579937","https://openalex.org/W2002348443","https://openalex.org/W2021080146","https://openalex.org/W2021361613","https://openalex.org/W2031092585","https://openalex.org/W2040957310","https://openalex.org/W2194775991","https://openalex.org/W2218273595","https://openalex.org/W2307825619","https://openalex.org/W2337534032","https://openalex.org/W2475772748","https://openalex.org/W2516027932","https://openalex.org/W2517041761","https://openalex.org/W2623546828","https://openalex.org/W2746463599","https://openalex.org/W2771620372","https://openalex.org/W2797286629","https://openalex.org/W2811153818","https://openalex.org/W2887933330","https://openalex.org/W2941028033","https://openalex.org/W2944580944","https://openalex.org/W2962687275","https://openalex.org/W2963054573","https://openalex.org/W2963118547","https://openalex.org/W2963506806","https://openalex.org/W2965887888","https://openalex.org/W2979513674","https://openalex.org/W2981720610","https://openalex.org/W2986381065","https://openalex.org/W2989367269","https://openalex.org/W3006613040","https://openalex.org/W3011163252","https://openalex.org/W3018648671","https://openalex.org/W3043459142","https://openalex.org/W3091973883","https://openalex.org/W3118468178","https://openalex.org/W3136386055","https://openalex.org/W3153886471","https://openalex.org/W3158274268","https://openalex.org/W3182963544","https://openalex.org/W3190654993","https://openalex.org/W3194918895","https://openalex.org/W3195175841","https://openalex.org/W3198430326","https://openalex.org/W3206558844","https://openalex.org/W3208488069","https://openalex.org/W3211952023","https://openalex.org/W4206756638","https://openalex.org/W4206759694","https://openalex.org/W4206923873","https://openalex.org/W4210691667","https://openalex.org/W4220710298","https://openalex.org/W4220766673","https://openalex.org/W4224224459","https://openalex.org/W4224308015","https://openalex.org/W4226296924","https://openalex.org/W4234552385","https://openalex.org/W4239107855","https://openalex.org/W4252435323","https://openalex.org/W4281731250","https://openalex.org/W4285604463","https://openalex.org/W4289745815","https://openalex.org/W4290927981","https://openalex.org/W4292085628","https://openalex.org/W4293581259","https://openalex.org/W4296011346","https://openalex.org/W4297497248","https://openalex.org/W4301409532","https://openalex.org/W4313305252","https://openalex.org/W4316035893","https://openalex.org/W4361224001","https://openalex.org/W4384009677","https://openalex.org/W4384080567","https://openalex.org/W4385076727","https://openalex.org/W4385780451","https://openalex.org/W4389209875","https://openalex.org/W4389220681","https://openalex.org/W4391723092","https://openalex.org/W4393034022"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Smart":[0],"buildings":[1,26],"have":[2,58,90,97,123],"gained":[3],"increasing":[4],"interest":[5],"recently":[6],"by":[7,48,119],"providing":[8],"several":[9,31,193],"advanced":[10],"solutions,":[11],"especially":[12,81],"AI-based":[13],"solutions.":[14,39],"Activity":[15],"recognition":[16],"and":[17,37,75,104,138,196],"occupancy":[18],"estimation":[19],"are":[20],"among":[21],"the":[22,101,108,131,167,170],"outcomes":[23],"of":[24,127,161,169],"smart":[25,83],"that":[27],"can":[28],"help":[29],"provide":[30],"advantages":[32],"such":[33],"as":[34],"energy":[35],"management":[36],"security":[38],"Previously,":[40],"domain":[41,65,103,164],"adaptation":[42,114],"(DA)":[43],"has":[44,115],"been":[45,117],"widely":[46],"considered":[47,91,118],"researchers":[49,89,120],"to":[50,62,78,146,153,165],"transfer":[51,141],"knowledge":[52,142,155],"from":[53,143,156],"source":[54,102,145,158],"domains,":[55],"where":[56,66,94,121],"we":[57,95,122,191],"abundant":[59],"labeled":[60,67,98,128],"data,":[61,80],"a":[63,73,124],"target":[64,109,132,171],"data":[68,99,106,129],"is":[69,72,87,151,176,185],"scarce.":[70],"It":[71],"tedious":[74],"time-consuming":[76],"task":[77],"label":[79],"with":[82],"building":[84],"applications":[85],"which":[86],"why":[88],"unsupervised":[92,135],"DA":[93,112,136,174,181],"do":[96],"in":[100,107,130],"unlabeled":[105],"domain.":[110,133,172],"Semi-supervised":[111],"(SSDA)":[113],"also":[116,183],"small":[125],"amount":[126],"Most":[134],"(UDA)":[137],"SSDA":[139],"methods":[140,195],"one":[144,147,162],"target.":[148],"However,":[149],"it":[150,184],"possible":[152],"exploit":[154],"multiple":[157],"domains":[159],"instead":[160],"single":[163],"enhance":[166],"performance":[168],"Multi-source":[173],"(MSDA)":[175],"more":[177,186],"difficult":[178],"than":[179],"single-source":[180],"but":[182],"efficient.":[187],"In":[188],"this":[189],"research,":[190],"adapt":[192],"MDSA":[194],"evaluate":[197],"them":[198],"using":[199],"sensorial":[200],"datasets.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}