{"id":"https://openalex.org/W4386795661","doi":"https://doi.org/10.1109/mascots59514.2023.10387635","title":"Machine Learning Approach for Mobility Context Classification Using Radio Beacons","display_name":"Machine Learning Approach for Mobility Context Classification Using Radio Beacons","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4386795661","doi":"https://doi.org/10.1109/mascots59514.2023.10387635"},"language":"en","primary_location":{"id":"doi:10.1109/mascots59514.2023.10387635","doi":"https://doi.org/10.1109/mascots59514.2023.10387635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascots59514.2023.10387635","pdf_url":null,"source":{"id":"https://openalex.org/S4210229048","display_name":"Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems","issn_l":"1526-7539","issn":["1526-7539","2375-0227"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04208815/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025287773","display_name":"Jana Koteich","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jana Koteich","raw_affiliation_strings":["Inria, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077147168","display_name":"Nathalie Mitton","orcid":"https://orcid.org/0000-0002-8817-6275","observed_orcids":["https://orcid.org/0000-0002-8817-6275"]},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nathalie Mitton","raw_affiliation_strings":["Inria, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria, France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":1.5265,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86808704,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9291999936103821,"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":0.9291999936103821,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.05559999868273735,"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/T11106","display_name":"Data Management and Algorithms","score":0.003599999938160181,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/human-mobility","display_name":"human mobility","score":0.7919999957084656},{"id":"https://openalex.org/keywords/bluetooth-low-energy-beacons","display_name":"Bluetooth Low Energy beacons","score":0.925000011920929},{"id":"https://openalex.org/keywords/radio-beacons","display_name":"radio beacons","score":0.5849999785423279},{"id":"https://openalex.org/keywords/location-classification","display_name":"location classification","score":0.6299999952316284},{"id":"https://openalex.org/keywords/decision-tree-ensembles","display_name":"decision tree ensembles","score":0.5860000252723694},{"id":"https://openalex.org/keywords/mobile-devices","display_name":"mobile devices","score":0.5040000081062317}],"concepts":[{"id":"https://openalex.org/C102168758","wikidata":"https://www.wikidata.org/wiki/Q7321258","display_name":"Beacon","level":2,"score":0.8830057382583618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8001192808151245},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.7506235837936401},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6534265279769897},{"id":"https://openalex.org/C546215728","wikidata":"https://www.wikidata.org/wiki/Q39531","display_name":"Bluetooth","level":3,"score":0.6454794406890869},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.639431357383728},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5300664305686951},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5222756862640381},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.520851194858551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4662875831127167},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45699000358581543},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4260373115539551},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.42539286613464355},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35536253452301025},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3477843403816223},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1937239170074463},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11969947814941406},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mascots59514.2023.10387635","doi":"https://doi.org/10.1109/mascots59514.2023.10387635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascots59514.2023.10387635","pdf_url":null,"source":{"id":"https://openalex.org/S4210229048","display_name":"Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems","issn_l":"1526-7539","issn":["1526-7539","2375-0227"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04208815v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04208815","pdf_url":"https://hal.science/hal-04208815/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MASCOTS2023 IEEE, Oct 2023, New York, United States","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04208815v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04208815","pdf_url":"https://hal.science/hal-04208815/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MASCOTS2023 IEEE, Oct 2023, New York, United States","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5142999887466431}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386795661.pdf","grobid_xml":"https://content.openalex.org/works/W4386795661.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W206739251","https://openalex.org/W1521536236","https://openalex.org/W2022037799","https://openalex.org/W2055887948","https://openalex.org/W2772598264","https://openalex.org/W2808576412","https://openalex.org/W2944310224","https://openalex.org/W2973010884","https://openalex.org/W3114785443","https://openalex.org/W3128073446","https://openalex.org/W3161033773","https://openalex.org/W3208917585","https://openalex.org/W4206997880","https://openalex.org/W4210659589","https://openalex.org/W6788560163","https://openalex.org/W6863113346"],"related_works":["https://openalex.org/W4395021638","https://openalex.org/W2625500144","https://openalex.org/W2099524353","https://openalex.org/W2022037799","https://openalex.org/W4313461471","https://openalex.org/W7100376895","https://openalex.org/W2951791712","https://openalex.org/W2564326070","https://openalex.org/W3090143740","https://openalex.org/W2794518829"],"abstract_inverted_index":{"The":[0,118,160],"study":[1],"of":[2,45,80,100,127,148,178,189,197,228],"human":[3,33,218],"mobility":[4,18,34,74,94,199,219],"becomes":[5],"more":[6,8,144],"and":[7,20,51,102,116,170,180,191,204,220],"crucial":[9],"these":[10],"days":[11],"in":[12,61,113,176],"transportation":[13],"studies,":[14],"urban":[15],"planning,":[16],"crowd":[17],"behaviors,":[19],"even":[21],"more.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26,88],"propose":[27,89],"a":[28,37,73,90,97,128,135,143,154],"novel":[29],"approach":[30,92,212],"for":[31,93,109,183,216],"studying":[32,217],"by":[35,231],"building":[36],"light":[38],"machine":[39],"learning":[40],"(ML)":[41],"model":[42,120,137],"using":[43,77,96],"observation":[44],"wireless":[46],"networking":[47],"information":[48],"from":[49,201],"WiFi":[50,101,203],"Bluetooth":[52],"low":[53,84],"energy":[54],"(BLE)":[55],"that":[56,163,209],"are":[57],"today":[58],"naturally":[59],"present":[60],"everyday":[62,233],"devices":[63,79],"such":[64,210],"as":[65],"mobile":[66,234],"phones.":[67,235],"Our":[68],"goal":[69],"is":[70,139],"to":[71,123,141],"build":[72],"classification":[75,95],"system":[76],"communicating":[78],"any":[81],"kind":[82],"with":[83,186],"processing":[85],"complexity.":[86],"However,":[87],"new":[91],"real":[98],"dataset":[99],"BLE":[103,205],"beacons":[104],"collected":[105],"over":[106],"one":[107],"year":[108],"around":[110],"90":[111],"hours":[112],"different":[114],"scenarios":[115],"conditions.":[117],"first":[119],"(B-model)":[121],"aims":[122],"identify":[124],"the":[125,149,173,195,225],"status":[126],"device":[129],"if":[130],"stationary":[131],"or":[132],"mobile.":[133],"Then":[134],"complementary":[136],"(M-model)":[138],"applied":[140],"determine":[142],"precise":[145],"real-life":[146],"situation":[147],"device,":[150],"which":[151],"could":[152,213],"be":[153,214],"Home,":[155],"Office,":[156],"Bus,":[157],"Train,":[158],"etc.":[159],"results":[161],"show":[162],"decision-tree-based":[164],"ensemble":[165],"ML":[166],"algorithms":[167],"like":[168],"LGBMClassifier":[169],"XGBClassifier":[171],"gave":[172],"best":[174],"results,":[175],"terms":[177],"accuracy":[179,188],"f1":[181],"score":[182],"both":[184],"models":[185],"an":[187,211,221],"99%":[190],"94%":[192],"respectively,":[193],"confirming":[194],"capability":[196],"classifying":[198],"context":[200],"only":[202],"data.":[206],"We":[207],"believe":[208],"leveraged":[215],"important":[222],"step":[223],"towards":[224],"large":[226],"deployment":[227],"mobility-based":[229],"applications":[230],"leveraging":[232]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-09-17T00:00:00"}