{"id":"https://openalex.org/W4415014539","doi":"https://doi.org/10.1016/j.asoc.2025.114039","title":"Embracing data irregularities in multivariate time series","display_name":"Embracing data irregularities in multivariate time series","publication_year":2025,"publication_date":"2025-10-10","ids":{"openalex":"https://openalex.org/W4415014539","doi":"https://doi.org/10.1016/j.asoc.2025.114039"},"language":"en","primary_location":{"id":"doi:10.1016/j.asoc.2025.114039","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2025.114039","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.asoc.2025.114039","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076324055","display_name":"Marcel R. de Barros","orcid":"https://orcid.org/0000-0002-0759-2497"},"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":true,"raw_author_name":"Marcel Barros","raw_affiliation_strings":["Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-0759-2497","affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119930677","display_name":"Lucas P. Fontenele","orcid":null},"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":"Lucas P. Fontenele","raw_affiliation_strings":["Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102587619","display_name":"Mariana S. Silva","orcid":null},"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":"Mariana S. Silva","raw_affiliation_strings":["Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093046468","display_name":"Thiago Lizier Rissi","orcid":null},"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":"Thiago Rissi","raw_affiliation_strings":["Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102434688","display_name":"Eduardo Cabrera","orcid":null},"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":"Eduardo Cabrera","raw_affiliation_strings":["Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080080617","display_name":"Eduardo A. Tannuri","orcid":"https://orcid.org/0000-0001-7040-413X"},"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":"Eduardo A. Tannuri","raw_affiliation_strings":["Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066942213","display_name":"Edson Satoshi Gomi","orcid":"https://orcid.org/0000-0003-1267-9519"},"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":"Edson S. Gomi","raw_affiliation_strings":["Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025192052","display_name":"Rodrigo Augusto Barreira","orcid":"https://orcid.org/0000-0001-8917-8224"},"institutions":[{"id":"https://openalex.org/I32393484","display_name":"Petrobras (Brazil)","ror":"https://ror.org/0235kyq22","country_code":"BR","type":"company","lineage":["https://openalex.org/I32393484"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo A. Barreira","raw_affiliation_strings":["Petr\u00f3leo Brasileiro S.A., Rio de Janeiro, RJ, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petr\u00f3leo Brasileiro S.A., Rio de Janeiro, RJ, Brazil","institution_ids":["https://openalex.org/I32393484"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069264027","display_name":"Anna Helena Reali Costa","orcid":"https://orcid.org/0000-0001-7309-4528"},"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":"Anna H. Reali Costa","raw_affiliation_strings":["Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escola Polit\u00e9cnica da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076324055"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":{"value":3350,"currency":"USD","value_usd":3350},"fwci":1.8599,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8740149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"186","issue":null,"first_page":"114039","last_page":"114039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987999796867371,"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":0.9987999796867371,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9865000247955322,"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/preprocessor","display_name":"Preprocessor","score":0.580299973487854},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5717999935150146},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5397999882698059},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5322999954223633},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.517300009727478},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5063999891281128},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.47760000824928284},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.45680001378059387},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4537000060081482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713000178337097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6022999882698059},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.580299973487854},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5717999935150146},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5397999882698059},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5322999954223633},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.517300009727478},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5063999891281128},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4212000072002411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4092999994754791},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.39239999651908875},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3831999897956848},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.3772999942302704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37459999322891235},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.asoc.2025.114039","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2025.114039","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:teses.usp.br:tde-21082025-134723","is_oa":false,"landing_page_url":"https://www.teses.usp.br/teses/disponiveis/3/3141/tde-21082025-134723/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"instacron:USP","raw_type":"info:eu-repo/semantics/doctoralThesis"}],"best_oa_location":{"id":"doi:10.1016/j.asoc.2025.114039","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2025.114039","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2581625664","display_name":null,"funder_award_id":"312360/2023-1","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3808344537","display_name":null,"funder_award_id":"21721-6","funder_id":"https://openalex.org/F4320322468","funder_display_name":"Petrobras"},{"id":"https://openalex.org/G7206588017","display_name":null,"funder_award_id":"310127/2020-3","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322468","display_name":"Petrobras","ror":"https://ror.org/0235kyq22"},{"id":"https://openalex.org/F4320323909","display_name":"Ag\u00eancia Nacional do Petr\u00f3leo, G\u00e1s Natural e Biocombust\u00edveis","ror":"https://ror.org/00phthq42"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2058580716","https://openalex.org/W2072773743","https://openalex.org/W2111286455","https://openalex.org/W2116341502","https://openalex.org/W2558658909","https://openalex.org/W2559655401","https://openalex.org/W2588998509","https://openalex.org/W2612690371","https://openalex.org/W2794778778","https://openalex.org/W2907492528","https://openalex.org/W2954996726","https://openalex.org/W2964010366","https://openalex.org/W2990138404","https://openalex.org/W3170657538","https://openalex.org/W4249794865","https://openalex.org/W4280561569","https://openalex.org/W4283370926","https://openalex.org/W4382203079","https://openalex.org/W4393160736"],"related_works":[],"abstract_inverted_index":{"GATE":[0],"block":[1],"setup.":[2],"The":[3,25,226],"transformation":[4],"performed":[5],"by":[6,35,147],"the":[7,17,30,42,99,103,164,179,186,196,199,249],"RNN":[8],"is":[9,116,130,140,157,191,206],"responsible":[10],"for":[11,239],"both":[12],"incorporating":[13],"into":[14,41],"and":[15,78,122,152,190,222,255,270,278],"translating":[16],"hidden":[18],"representation":[19,184],"in":[20,47,126,142,171,211],"time":[21,23,32,53,188,200,213,223],"to":[22,159,193,208,251],".":[24],"updated":[26],"latent":[27,145],"representations":[28],"at":[29,258],"target":[31],"are":[33,88],"projected":[34],"a":[36,57,117,124,143,148,153],"linear":[37],"layer":[38],"(LL)":[39],"back":[40],"original":[43],"space.":[44],"Data":[45],"collection":[46,58],"many":[48],"engineering":[49],"fields":[50],"involves":[51],"multivariate":[52,212],"series":[54,214],"gathered":[55],"from":[56,111,114,266],"of":[59,64,105,163,185],"sensors":[60,68,115],"that":[61,178],"operate":[62],"independently":[63],"each":[65,128],"other.":[66],"These":[67],"often":[69],"display":[70],"various":[71],"irregularities,":[72],"such":[73],"as":[74],"different":[75],"sampling":[76,218],"rates":[77],"missing":[79,220],"data.":[80,101],"To":[81],"manage":[82],"these":[83],"issues,":[84],"complex":[85],"preprocessing":[86,280],"mechanisms":[87],"required,":[89],"which":[90,127,174],"become":[91],"coupled":[92],"with":[93,98,234],"any":[94],"statistical":[95],"model":[96,125,180,227,250],"trained":[97],"transformed":[100],"Modeling":[102],"motion":[104],"floating":[106],"platforms":[107],"anchored":[108],"on":[109,263],"seabeds":[110],"measurements":[112],"acquired":[113],"typical":[118],"example.":[119],"We":[120],"propose":[121],"analyze":[123],"sensor":[129],"encoded":[131],"using":[132],"an":[133,182],"independent":[134],"time-informed":[135,229],"recurrent":[136,230],"neural":[137,150,231,236],"network,":[138,151],"information":[139],"propagated":[141],"common":[144],"space":[146],"graph":[149,235],"modified":[154,245],"training":[155,246],"method":[156,167,247],"used":[158],"induce":[160],"temporal":[161,241,253],"generalization":[162],"model.":[165],"Our":[166],"can":[168],"generate":[169,256],"forecasts":[170,257],"unseen":[172,259],"frequencies,":[173],"provides":[175],"empirical":[176],"evidence":[177],"learns":[181],"implicit":[183],"system\u2019s":[187],"derivatives":[189],"able":[192],"flexibly":[194],"integrate":[195],"signal":[197],"over":[198],"domain.":[201],"\u2022":[202,225,243,261],"A":[203,244],"novel":[204],"architecture":[205],"proposed":[207],"address":[209],"irregularities":[210],"(MTS),":[215],"including":[216],"varying":[217],"rates,":[219],"data,":[221],"misalignments.":[224],"combines":[228],"networks":[232,237],"(RNNS)":[233],"(GNNs)":[238],"generalized":[240],"modeling.":[242],"enables":[248],"generalize":[252],"patterns":[254],"frequencies.":[260],"Validation":[262],"real-world":[264],"data":[265],"Floating":[267],"Production,":[268],"Storage,":[269],"Offloading":[271],"units":[272],"(FPSOs)":[273],"demonstrates":[274],"superior":[275],"predictive":[276],"accuracy":[277],"reduced":[279],"requirements.":[281]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}