{"id":"https://openalex.org/W2904478006","doi":"https://doi.org/10.3390/s18124354","title":"MBOSS: A Symbolic Representation of Human Activity Recognition Using Mobile Sensors","display_name":"MBOSS: A Symbolic Representation of Human Activity Recognition Using Mobile Sensors","publication_year":2018,"publication_date":"2018-12-10","ids":{"openalex":"https://openalex.org/W2904478006","doi":"https://doi.org/10.3390/s18124354","mag":"2904478006","pmid":"https://pubmed.ncbi.nlm.nih.gov/30544667"},"language":"en","primary_location":{"id":"doi:10.3390/s18124354","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18124354","pdf_url":"https://www.mdpi.com/1424-8220/18/12/4354/pdf?version=1544429453","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/12/4354/pdf?version=1544429453","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005261184","display_name":"Kevin G. Montero Quispe","orcid":"https://orcid.org/0000-0002-0550-4748"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Kevin G. Montero Quispe","raw_affiliation_strings":["Computer Institute, Federal University of Amazonas, Manaus 69080-900, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-0550-4748","affiliations":[{"raw_affiliation_string":"Computer Institute, Federal University of Amazonas, Manaus 69080-900, Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037006717","display_name":"Wesllen Sousa Lima","orcid":"https://orcid.org/0000-0001-9669-1659"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Wesllen Sousa Lima","raw_affiliation_strings":["Computer Institute, Federal University of Amazonas, Manaus 69080-900, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-9669-1659","affiliations":[{"raw_affiliation_string":"Computer Institute, Federal University of Amazonas, Manaus 69080-900, Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067928085","display_name":"Daniel Mac\u00eado Batista","orcid":"https://orcid.org/0000-0002-4865-5896"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel Mac\u00eado Batista","raw_affiliation_strings":["Department of Computer Science, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-090, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033286636","display_name":"Eduardo Souto","orcid":"https://orcid.org/0000-0003-0003-908X"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Souto","raw_affiliation_strings":["Computer Institute, Federal University of Amazonas, Manaus 69080-900, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Institute, Federal University of Amazonas, Manaus 69080-900, Brazil","institution_ids":["https://openalex.org/I62885914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005261184"],"corresponding_institution_ids":["https://openalex.org/I62885914"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.3784,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.86507271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"12","first_page":"4354","last_page":"4354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9693999886512756,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7578813433647156},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7421337962150574},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5649029016494751},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5575016140937805},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5552515387535095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5386950373649597},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48361340165138245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4784681499004364},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4711562395095825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4295763671398163},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33797258138656616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578813433647156},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7421337962150574},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5649029016494751},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5575016140937805},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5552515387535095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5386950373649597},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48361340165138245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4784681499004364},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4711562395095825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4295763671398163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33797258138656616},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s18124354","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18124354","pdf_url":"https://www.mdpi.com/1424-8220/18/12/4354/pdf?version=1544429453","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:30544667","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30544667","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:6ed375d44b124cb99fe1fdddeafbcb84","is_oa":true,"landing_page_url":"https://doaj.org/article/6ed375d44b124cb99fe1fdddeafbcb84","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":"Sensors, Vol 18, Iss 12, p 4354 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5292222","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6308833","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/12/4354/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s18124354","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6308833","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6308833","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18124354","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18124354","pdf_url":"https://www.mdpi.com/1424-8220/18/12/4354/pdf?version=1544429453","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2190192852","display_name":null,"funder_award_id":"009/2017","funder_id":"https://openalex.org/F4320322994","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Amazonas"}],"funders":[{"id":"https://openalex.org/F4320322994","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado do Amazonas","ror":"https://ror.org/026d6ma13"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904478006.pdf","grobid_xml":"https://content.openalex.org/works/W2904478006.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1964842249","https://openalex.org/W1980867644","https://openalex.org/W2017634428","https://openalex.org/W2023302299","https://openalex.org/W2026909728","https://openalex.org/W2046766629","https://openalex.org/W2047188941","https://openalex.org/W2054242744","https://openalex.org/W2076068958","https://openalex.org/W2097575504","https://openalex.org/W2121232806","https://openalex.org/W2129793335","https://openalex.org/W2165612380","https://openalex.org/W2171694978","https://openalex.org/W2237307454","https://openalex.org/W2507244352","https://openalex.org/W2514114051","https://openalex.org/W2555209581","https://openalex.org/W2594116048","https://openalex.org/W2753238659","https://openalex.org/W2759690896","https://openalex.org/W2761268027","https://openalex.org/W2765748065","https://openalex.org/W2795342689","https://openalex.org/W2901452384","https://openalex.org/W2902553096","https://openalex.org/W3125210009","https://openalex.org/W4290856507"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W2506504620","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2892259437","https://openalex.org/W2131801795","https://openalex.org/W2944566775","https://openalex.org/W2166927590"],"abstract_inverted_index":{"Human":[0],"activity":[1],"recognition":[2],"(HAR)":[3],"through":[4],"sensors":[5],"embedded":[6],"in":[7,59,139],"smartphones":[8],"has":[9],"allowed":[10],"for":[11,86],"the":[12,32,61,71,104,137],"development":[13],"of":[14,19,35,73,106,116,141],"systems":[15,27,51,108,118],"that":[16,134],"are":[17,52],"capable":[18],"detecting":[20],"and":[21,40,68,109,122,145],"monitoring":[22],"human":[23,88],"behavior.":[24],"However,":[25],"such":[26],"have":[28],"been":[29],"affected":[30],"by":[31],"high":[33],"consumption":[34],"computational":[36],"resources":[37],"(e.g.,":[38],"memory":[39,146],"processing)":[41],"needed":[42],"to":[43,102,114],"effectively":[44],"recognize":[45],"activities.":[46],"In":[47],"addition,":[48],"existing":[49],"HAR":[50,107],"mostly":[53],"based":[54,90,119],"on":[55,70,91,120,129],"supervised":[56],"classification":[57],"techniques,":[58],"which":[60],"feature":[62],"extraction":[63],"process":[64],"is":[65],"done":[66],"manually,":[67],"depends":[69],"knowledge":[72],"a":[74,83],"specialist.":[75],"To":[76],"overcome":[77],"these":[78],"limitations,":[79],"this":[80],"paper":[81],"proposes":[82],"new":[84],"method":[85],"recognizing":[87],"activities":[89],"symbolic":[92],"representation":[93],"algorithms.":[94],"The":[95,126],"method,":[96],"called":[97],"\"Multivariate":[98],"Bag-Of-SFA-Symbols\"":[99],"(MBOSS),":[100],"aims":[101],"increase":[103],"efficiency":[105],"maintain":[110],"accuracy":[111],"levels":[112],"similar":[113],"those":[115],"conventional":[117],"time":[121],"frequency":[123],"domain":[124],"features.":[125],"experiments":[127],"conducted":[128],"three":[130],"public":[131],"datasets":[132],"showed":[133],"MBOSS":[135],"performed":[136],"best":[138],"terms":[140],"accuracy,":[142],"processing":[143],"time,":[144],"consumption.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2018-12-22T00:00:00"}
