{"id":"https://openalex.org/W4403446843","doi":"https://doi.org/10.1109/etfa61755.2024.10710901","title":"Discretization of CPS Time Series with Neural Networks","display_name":"Discretization of CPS Time Series with Neural Networks","publication_year":2024,"publication_date":"2024-09-10","ids":{"openalex":"https://openalex.org/W4403446843","doi":"https://doi.org/10.1109/etfa61755.2024.10710901"},"language":"en","primary_location":{"id":"doi:10.1109/etfa61755.2024.10710901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa61755.2024.10710901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)","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/A5114286065","display_name":"Phillip Johann Overl\u00f6per","orcid":null},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Phillip Johann Overl\u00f6per","raw_affiliation_strings":["Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021777833","display_name":"Lukas Moddemann","orcid":"https://orcid.org/0000-0002-9470-0811"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Moddemann","raw_affiliation_strings":["Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001444688","display_name":"Nemanja Hranisavljevic","orcid":"https://orcid.org/0000-0002-6944-107X"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nemanja Hranisavljevic","raw_affiliation_strings":["Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072506692","display_name":"Alexander Windmann","orcid":"https://orcid.org/0000-0002-6522-4262"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Windmann","raw_affiliation_strings":["Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012395966","display_name":"Oliver Niggemann","orcid":"https://orcid.org/0000-0001-8747-3596"},"institutions":[{"id":"https://openalex.org/I190134885","display_name":"Helmut Schmidt University","ror":"https://ror.org/04e8jbs38","country_code":"DE","type":"education","lineage":["https://openalex.org/I190134885"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Niggemann","raw_affiliation_strings":["Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation Technology, Helmut-Schmidt-University,Hamburg,Germany","institution_ids":["https://openalex.org/I190134885"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114286065"],"corresponding_institution_ids":["https://openalex.org/I190134885"],"apc_list":null,"apc_paid":null,"fwci":0.8855,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75086341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/series","display_name":"Series (stratigraphy)","score":0.6920579671859741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6741845607757568},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6469020843505859},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6345574855804443},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5493263602256775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3235299587249756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17823147773742676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16118893027305603},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11027571558952332}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6920579671859741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741845607757568},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6469020843505859},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6345574855804443},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5493263602256775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3235299587249756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17823147773742676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16118893027305603},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11027571558952332},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa61755.2024.10710901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa61755.2024.10710901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1990517717","https://openalex.org/W2069720347","https://openalex.org/W2102716594","https://openalex.org/W2116064496","https://openalex.org/W2135511047","https://openalex.org/W2136922672","https://openalex.org/W2138806976","https://openalex.org/W2163922914","https://openalex.org/W2784248958","https://openalex.org/W2948978827","https://openalex.org/W3041242936","https://openalex.org/W3047585594","https://openalex.org/W3158556635","https://openalex.org/W3164160032","https://openalex.org/W3198059351","https://openalex.org/W4213418104","https://openalex.org/W4285814255","https://openalex.org/W4288768861","https://openalex.org/W4296485209","https://openalex.org/W4312699559","https://openalex.org/W4319028144","https://openalex.org/W4387527822","https://openalex.org/W4401630779","https://openalex.org/W6638304892","https://openalex.org/W6704139216","https://openalex.org/W6729448088","https://openalex.org/W6740105937","https://openalex.org/W6744627333","https://openalex.org/W6757925885"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W3146111732","https://openalex.org/W1990205660"],"abstract_inverted_index":{"This":[0],"paper":[1,110],"investigates":[2],"the":[3,25,31,40,52,55,85,88,91,94,102,131,142],"application":[4],"of":[5,27,42,54,71,93,115,147],"machine":[6,62,150],"learning":[7,21,63,151],"techniques":[8],"for":[9,129,153],"discretizing":[10],"multivariate":[11],"time":[12],"series":[13],"data":[14,45,154],"in":[15,78,104,156],"cyber-physical":[16,72,157],"systems,":[17,73],"emphasizing":[18],"an":[19],"unsupervised":[20,61,149],"approach.":[22],"Due":[23],"to":[24,50,139,141],"lack":[26],"system":[28],"information":[29],"about":[30],"systems":[32],"under":[33,122],"investigation,":[34],"we":[35,137],"focus":[36],"our":[37],"work":[38],"on":[39],"conversion":[41],"high-dimensional,":[43],"continuous":[44],"into":[46],"discrete":[47],"state":[48,96],"representations":[49],"improve":[51],"interpretability":[53],"system.":[56],"The":[57,109],"study":[58],"evaluates":[59],"several":[60],"methods":[64,120],"using":[65],"both":[66],"simulated":[67],"and":[68,90,98,125,145],"real":[69],"datasets":[70],"particularly":[74],"examining":[75],"their":[76],"utility":[77],"anomaly":[79,106],"detection":[80,107],"tasks.":[81],"Our":[82],"analysis":[83,155],"highlights":[84],"trade-offs":[86],"between":[87],"complexity":[89],"purity":[92],"learned":[95],"representations,":[97],"how":[99,116],"this":[100,135],"influences":[101],"performance":[103],"subsequent":[105],"applications.":[108],"provides":[111],"a":[112],"comprehensive":[113],"view":[114],"different":[117],"machine-learning-based":[118],"discretization":[119],"perform":[121],"various":[123],"conditions":[124],"offers":[126],"practical":[127],"guidelines":[128],"selecting":[130],"appropriate":[132],"method.":[133],"Through":[134],"work,":[136],"aim":[138],"contribute":[140],"broader":[143],"understanding":[144],"implementation":[146],"effective":[148],"strategies":[152],"systems.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}
