{"id":"https://openalex.org/W3095424037","doi":"https://doi.org/10.1109/coginfocom50765.2020.9237838","title":"Healthcare Framework for Smarter Cities with bio-sensory data","display_name":"Healthcare Framework for Smarter Cities with bio-sensory data","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3095424037","doi":"https://doi.org/10.1109/coginfocom50765.2020.9237838","mag":"3095424037"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom50765.2020.9237838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom50765.2020.9237838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","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/A5042484313","display_name":"Emirhan Enler","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Emirhan Enler","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047141235","display_name":"Istv\u00e1n P\u00e9ntek","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Istvan Pentek","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021202537","display_name":"Attila Adamk\u00f3","orcid":"https://orcid.org/0000-0003-4124-0126"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Attila Adamko","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042484313"],"corresponding_institution_ids":["https://openalex.org/I132735039"],"apc_list":null,"apc_paid":null,"fwci":0.5888,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70020394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"000337","last_page":"000342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9930999875068665,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9930999875068665,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13382","display_name":"Robotics and Automated Systems","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7476487159729004},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5453871488571167},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5413212180137634},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5315214395523071},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.5114983320236206},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5019326210021973},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4945623576641083},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46478793025016785},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4395645558834076},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.42457205057144165},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.41305696964263916},{"id":"https://openalex.org/keywords/reference-architecture","display_name":"Reference architecture","score":0.4125678241252899},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34985849261283875},{"id":"https://openalex.org/keywords/software-architecture","display_name":"Software architecture","score":0.33924785256385803},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.25542765855789185},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1970270872116089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17878147959709167},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.17646747827529907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10020771622657776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476487159729004},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5453871488571167},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5413212180137634},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5315214395523071},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.5114983320236206},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5019326210021973},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4945623576641083},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46478793025016785},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4395645558834076},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.42457205057144165},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.41305696964263916},{"id":"https://openalex.org/C55356503","wikidata":"https://www.wikidata.org/wiki/Q2136675","display_name":"Reference architecture","level":4,"score":0.4125678241252899},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34985849261283875},{"id":"https://openalex.org/C35869016","wikidata":"https://www.wikidata.org/wiki/Q846636","display_name":"Software architecture","level":3,"score":0.33924785256385803},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25542765855789185},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1970270872116089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17878147959709167},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.17646747827529907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10020771622657776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/coginfocom50765.2020.9237838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom50765.2020.9237838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","raw_type":"proceedings-article"},{"id":"pmh:oai:dea.lib.unideb.hu:2437/302521","is_oa":false,"landing_page_url":"http://hdl.handle.net/2437/302521","pdf_url":null,"source":{"id":"https://openalex.org/S4306402089","display_name":"University of Debrecen Electronic Archive (University of Debrecen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132735039","host_organization_name":"University of Debrecen","host_organization_lineage":["https://openalex.org/I132735039"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"el\u0151ad\u00e1skivonat"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1489438844","https://openalex.org/W1957468070","https://openalex.org/W1971415293","https://openalex.org/W2074144235","https://openalex.org/W2094190288","https://openalex.org/W2185859000","https://openalex.org/W2276580417","https://openalex.org/W2568233381","https://openalex.org/W2569297890","https://openalex.org/W2571047776","https://openalex.org/W2600973007","https://openalex.org/W3019341453","https://openalex.org/W3027755704","https://openalex.org/W6686508619"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2528680939","https://openalex.org/W4312415459"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"innovations":[3],"that":[4,68,90,101,137],"occurred":[5],"in":[6,11,65,159],"technology":[7],"caused":[8],"an":[9,57,97,130,139],"evolution":[10,120],"computational":[12],"and":[13,28,47,73,95,146],"communicational":[14],"areas.":[15],"These":[16],"advancements":[17],"allowed":[18],"us":[19],"to":[20,109,128,149],"apply":[21],"some":[22],"capabilities":[23],"of":[24,121,142,154,169],"smartphones,":[25],"smart":[26,37,122],"devices,":[27,123],"wearable":[29],"devices":[30,38],"as":[31,134],"well.":[32],"Sensory":[33],"data,":[34],"produced":[35],"by":[36],"are":[39],"essential":[40],"for":[41,83,105],"implementing":[42],"a":[43,66,126,160,166,173],"cognitive,":[44],"scalable,":[45],"autonomous,":[46],"extensible":[48],"Smart":[49,62,156],"City":[50,63,157],"architecture.":[51],"Based":[52],"on":[53,116,172,175],"it,":[54],"we":[55],"propose":[56],"architecture":[58,131,158],"which":[59],"could":[60],"extend":[61],"solutions":[64],"way":[67],"recognizes":[69],"new":[70,143],"data":[71,75,87,99,114,144],"sources":[72],"applies":[74],"categorization":[76],"rules":[77],"without":[78],"introducing":[79],"any":[80],"side":[81],"effects":[82],"maintenance":[84],"while":[85],"protecting":[86],"privacy":[88],"definition":[89,132],"complies":[91],"with":[92],"the":[93,106,119,151,155],"GDPR":[94],"providing":[96],"anonymized":[98],"repository":[100],"is":[102],"publicly":[103],"available":[104],"client":[107],"consumption":[108],"further":[110],"produce":[111],"useful,":[112],"value-added":[113],"based":[115],"analytics.":[117],"Considering":[118],"it":[124],"becomes":[125],"necessity":[127],"provide":[129],"such":[133],"microservice":[135],"orchestration":[136],"allows":[138],"easier":[140],"adaption":[141],"types":[145],"domain":[147],"requirements":[148],"keep":[150],"ever-maintainable":[152],"state":[153],"technology-agnostic":[161],"fashion.":[162],"Our":[163],"paper":[164],"shows":[165],"small":[167],"fragment":[168],"this":[170],"field":[171],"focus":[174],"eHealth.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
