{"id":"https://openalex.org/W3094602816","doi":"https://doi.org/10.1109/iscc50000.2020.9219631","title":"Using DenseNet for IoT multivariate time series classification","display_name":"Using DenseNet for IoT multivariate time series classification","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3094602816","doi":"https://doi.org/10.1109/iscc50000.2020.9219631","mag":"3094602816"},"language":"en","primary_location":{"id":"doi:10.1109/iscc50000.2020.9219631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc50000.2020.9219631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium on Computers and Communications (ISCC)","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/A5054228684","display_name":"Joseph Azar","orcid":"https://orcid.org/0000-0002-4068-2996"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]},{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Joseph Azar","raw_affiliation_strings":["FEMTO-ST Institute/CNRS, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France"],"affiliations":[{"raw_affiliation_string":"FEMTO-ST Institute/CNRS, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France","institution_ids":["https://openalex.org/I2802759292","https://openalex.org/I4210118524","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070973485","display_name":"Abdallah Makhoul","orcid":"https://orcid.org/0000-0003-0485-097X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]},{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdallah Makhoul","raw_affiliation_strings":["FEMTO-ST Institute/CNRS, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France"],"affiliations":[{"raw_affiliation_string":"FEMTO-ST Institute/CNRS, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France","institution_ids":["https://openalex.org/I2802759292","https://openalex.org/I4210118524","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031503129","display_name":"Rapha\u00ebl Couturier","orcid":"https://orcid.org/0000-0003-1490-9592"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802759292","display_name":"Franche-Comt\u00e9 \u00c9lectronique M\u00e9canique Thermique et Optique - Sciences et Technologies","ror":"https://ror.org/004fmxv66","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I37553959","https://openalex.org/I4210095849","https://openalex.org/I4405256580","https://openalex.org/I53262699"]},{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Raphael Couturier","raw_affiliation_strings":["FEMTO-ST Institute/CNRS, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France"],"affiliations":[{"raw_affiliation_string":"FEMTO-ST Institute/CNRS, Univ. Bourgogne Franche-Comt\u00e9, Belfort, France","institution_ids":["https://openalex.org/I2802759292","https://openalex.org/I4210118524","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054228684"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2802759292","https://openalex.org/I4210118524"],"apc_list":null,"apc_paid":null,"fwci":1.0607,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77340355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.8288904428482056},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8042161464691162},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7316523790359497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5684808492660522},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5664200186729431},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5614069104194641},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5587323904037476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5145768523216248},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5055053234100342},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4939318299293518},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.46641433238983154},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4327129125595093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32562339305877686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09314486384391785},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09288051724433899}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8288904428482056},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8042161464691162},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7316523790359497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5684808492660522},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5664200186729431},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5614069104194641},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5587323904037476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5145768523216248},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5055053234100342},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4939318299293518},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.46641433238983154},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4327129125595093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32562339305877686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09314486384391785},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09288051724433899},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded 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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc50000.2020.9219631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc50000.2020.9219631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1903029394","https://openalex.org/W1971594906","https://openalex.org/W2035104901","https://openalex.org/W2064675550","https://openalex.org/W2067808862","https://openalex.org/W2133564696","https://openalex.org/W2144380653","https://openalex.org/W2282091814","https://openalex.org/W2295972917","https://openalex.org/W2511730936","https://openalex.org/W2550143307","https://openalex.org/W2551393996","https://openalex.org/W2568772110","https://openalex.org/W2730315335","https://openalex.org/W2752782242","https://openalex.org/W2783323081","https://openalex.org/W2892035503","https://openalex.org/W2914440067","https://openalex.org/W2949117887","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W3120740533","https://openalex.org/W4294577070","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6640054144","https://openalex.org/W6679434410","https://openalex.org/W6697128597","https://openalex.org/W6725739302","https://openalex.org/W6729306796","https://openalex.org/W6743731764","https://openalex.org/W6747621238"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Nowadays,":[0],"most":[1],"Internet":[2],"of":[3,23,50,63,83],"Things":[4],"(IoT)":[5],"devices":[6],"collect":[7],"multiple":[8],"features":[9],"and":[10,21,87,123],"produce":[11],"multivariate":[12,41,64],"time":[13,42,65,128],"series.":[14,66],"In":[15],"an":[16],"IoT":[17,127],"application,":[18],"the":[19,24,48,51,61,81,84,95,109],"mining":[20],"classification":[22,38,62,130],"collected":[25],"data":[26,124],"have":[27],"become":[28],"crucial":[29],"tasks.":[30],"Hybrid":[31],"LSTM-fully":[32],"convolutional":[33],"networks":[34],"(MLSTM-FCN)":[35],"provide":[36],"state-of-the-art":[37,85],"results":[39,96],"on":[40,94,101],"series":[43,129],"benchmarks.":[44],"This":[45],"paper":[46,70,107],"examines":[47],"use":[49],"DenseNet":[52,111],"architecture,":[53],"originally":[54],"proposed":[55],"for":[56,60,126],"computer":[57],"vision":[58],"applications,":[59],"More":[67],"precisely,":[68],"this":[69,106],"proposes":[71],"a":[72,113],"hybrid":[73],"LSTM-DenseNet":[74],"model":[75],"that":[76],"is":[77],"able":[78],"to":[79,116],"achieve":[80],"performance":[82],"models":[86],"surpass":[88],"them":[89],"in":[90],"many":[91],"situations,":[92],"based":[93],"obtained":[97],"from":[98],"various":[99],"experiments":[100],"15":[102],"benchmark":[103],"datasets.":[104],"Thus,":[105],"suggests":[108],"1D":[110],"as":[112],"potential":[114],"tool":[115],"be":[117],"considered":[118],"by":[119],"machine":[120],"learning":[121],"engineers":[122],"scientists":[125],"task.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
