{"id":"https://openalex.org/W4403938160","doi":"https://doi.org/10.1109/iscc61673.2024.10733672","title":"Continual Learning in Recurrent Neural Networks for the Internet of Things: A Stochastic Approach","display_name":"Continual Learning in Recurrent Neural Networks for the Internet of Things: A Stochastic Approach","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4403938160","doi":"https://doi.org/10.1109/iscc61673.2024.10733672"},"language":"en","primary_location":{"id":"doi:10.1109/iscc61673.2024.10733672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc61673.2024.10733672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059588489","display_name":"Jos\u00e9 Reis Filho","orcid":null},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Josafat Ribeiro Leal Filho","raw_affiliation_strings":["Federal University of Santa Catarina,Software/Hardware Integration Lab,Florian&#x00F3;polis,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina,Software/Hardware Integration Lab,Florian&#x00F3;polis,Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057467649","display_name":"Alexander Kocian","orcid":"https://orcid.org/0000-0001-8847-0768"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alexander Kocian","raw_affiliation_strings":["University of Pisa,Department of Computer Science,Pisa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Computer Science,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039916641","display_name":"Ant\u00f4nio Augusto Fr\u00f6hlich","orcid":"https://orcid.org/0000-0002-4063-1339"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ant\u00f4nio Augusto Fr\u00f6hlich","raw_affiliation_strings":["Federal University of Santa Catarina,Software/Hardware Integration Lab,Florian&#x00F3;polis,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina,Software/Hardware Integration Lab,Florian&#x00F3;polis,Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057916297","display_name":"Stefano Chessa","orcid":"https://orcid.org/0000-0002-1248-9478"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Chessa","raw_affiliation_strings":["University of Pisa,Department of Computer Science,Pisa,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa,Department of Computer Science,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10320","display_name":"Neural Networks and Applications","score":0.965399980545044,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.965399980545044,"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/T12676","display_name":"Machine Learning and ELM","score":0.9265999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043682932853699},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6128777265548706},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5942171812057495},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5732316970825195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4909992516040802},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4657624065876007},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.41404715180397034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34524819254875183},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22852787375450134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043682932853699},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6128777265548706},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5942171812057495},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5732316970825195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4909992516040802},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4657624065876007},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.41404715180397034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34524819254875183},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22852787375450134}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscc61673.2024.10733672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc61673.2024.10733672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1277189","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1277189","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310077","display_name":"National Research Centre","ror":"https://ror.org/02n85j827"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W95577512","https://openalex.org/W1983446105","https://openalex.org/W2053742104","https://openalex.org/W2110485445","https://openalex.org/W2480524399","https://openalex.org/W2498094064","https://openalex.org/W2564960719","https://openalex.org/W2805361679","https://openalex.org/W2969332118","https://openalex.org/W2971208531","https://openalex.org/W2998415999","https://openalex.org/W3000267823","https://openalex.org/W3016542904","https://openalex.org/W3033737563","https://openalex.org/W3043102202","https://openalex.org/W3045468192","https://openalex.org/W3126472852","https://openalex.org/W3138833245","https://openalex.org/W3156463395","https://openalex.org/W3213995546","https://openalex.org/W4205441296","https://openalex.org/W4388544069","https://openalex.org/W4391952205","https://openalex.org/W6742720488","https://openalex.org/W6756922343","https://openalex.org/W6857751216"],"related_works":["https://openalex.org/W4390190477","https://openalex.org/W2373874059","https://openalex.org/W2524120878","https://openalex.org/W1703700233","https://openalex.org/W2790188059","https://openalex.org/W1538606284","https://openalex.org/W1969341713","https://openalex.org/W180587397","https://openalex.org/W1584270863","https://openalex.org/W4206589881"],"abstract_inverted_index":{"In":[0,70],"many":[1],"applications":[2],"Internet":[3],"of":[4,13,21,40,63,116,144],"Things":[5],"(IoT)":[6],"supports":[7],"decision":[8],"taking":[9],"on":[10,160],"the":[11,61,90,102,114,132,138,142,155],"base":[12],"continuous":[14],"data":[15],"acquisition.":[16],"These":[17],"data,":[18,23],"usually":[19,36],"streams":[20],"sensed":[22],"are":[24],"processed":[25],"and":[26],"analysed":[27],"to":[28,65,100,136],"produce":[29,67],"high-level":[30],"information.":[31],"The":[32],"latter":[33],"task":[34],"is":[35,48],"achieved":[37],"by":[38,119],"means":[39],"artificial":[41],"intelligence":[42],"technologies.":[43],"Among":[44],"these,":[45],"continual":[46,75,133],"learning":[47,76,134],"emerging":[49],"as":[50,58,92],"a":[51,83,93,107,121,164,170],"paradigm":[52],"that":[53,151],"combines":[54],"well":[55],"with":[56,77],"IoT":[57,64,147],"it":[59],"matches":[60],"ability":[62],"continuously":[66],"new":[68],"data.":[69],"this":[71],"context,":[72],"we":[73,88,130],"address":[74],"Recurrent":[78],"Neural":[79],"Networks":[80],"(RNN)":[81],"under":[82],"stochastic":[84],"perspective,":[85],"in":[86,106,128,141,154],"which":[87,129],"consider":[89],"RNN":[91],"stationary":[94],"state-space":[95],"network.":[96],"This":[97],"led":[98],"us":[99],"deploy":[101],"Generalized":[103],"Expectation-Maximization":[104],"algorithm,":[105],"setting":[108],"suitable":[109],"for":[110],"IoT.":[111],"We":[112],"demonstrate":[113,150],"effectiveness":[115],"our":[117],"approach":[118],"considering":[120],"case":[122],"study":[123],"taken":[124],"from":[125],"digital":[126],"agriculture,":[127],"adopt":[131],"model":[135],"assess":[137],"biomass":[139],"prediction":[140],"field":[143],"horticulture":[145],"using":[146],"technology.":[148],"Results":[149],"RNNs":[152],"embedded":[153],"EM":[156],"framework":[157],"can":[158],"learn":[159],"their":[161],"own":[162],"after":[163],"very":[165],"short":[166],"training":[167],"phase":[168],"covering":[169],"few":[171],"time":[172],"samples.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
