{"id":"https://openalex.org/W4306291355","doi":"https://doi.org/10.1007/s00521-022-07903-0","title":"Few-shot learning for modeling cyber physical systems in non-stationary environments","display_name":"Few-shot learning for modeling cyber physical systems in non-stationary environments","publication_year":2022,"publication_date":"2022-10-15","ids":{"openalex":"https://openalex.org/W4306291355","doi":"https://doi.org/10.1007/s00521-022-07903-0"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-022-07903-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-022-07903-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-022-07903-0.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-022-07903-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013285272","display_name":"Stavros Ntalampiras","orcid":"https://orcid.org/0000-0003-3482-9215"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stavros Ntalampiras","raw_affiliation_strings":["Department of Computer Science, University of Milan, via Celoria 18, 20133, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Milan, via Celoria 18, 20133, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050529028","display_name":"Ilyas Potamitis","orcid":"https://orcid.org/0000-0002-7111-3331"},"institutions":[{"id":"https://openalex.org/I28710699","display_name":"Hellenic Mediterranean University","ror":"https://ror.org/039ce0m20","country_code":"GR","type":"education","lineage":["https://openalex.org/I28710699"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ilyas Potamitis","raw_affiliation_strings":["Department of Music Technology and Acoustics, Hellenic Mediterranean University, Gianni Kornarou, Estavromenos 1, 71410, Iraklio, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Music Technology and Acoustics, Hellenic Mediterranean University, Gianni Kornarou, Estavromenos 1, 71410, Iraklio, Greece","institution_ids":["https://openalex.org/I28710699"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013285272"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.552,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72364344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":"5","first_page":"3853","last_page":"3863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9840999841690063,"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":0.7990823984146118},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.7505570650100708},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6247003078460693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6118699312210083},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.5936548113822937},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5065940618515015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44286710023880005},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4357115924358368},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.4236689805984497},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4163150191307068},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40997540950775146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3586122989654541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7990823984146118},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7505570650100708},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6247003078460693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6118699312210083},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.5936548113822937},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5065940618515015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44286710023880005},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4357115924358368},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.4236689805984497},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4163150191307068},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40997540950775146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3586122989654541},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00521-022-07903-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-022-07903-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-022-07903-0.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmh:oai:air.unimi.it:2434/940886","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/940886","pdf_url":null,"source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s00521-022-07903-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-022-07903-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-022-07903-0.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313475","display_name":"Universit\u00e0 degli Studi di Milano","ror":"https://ror.org/00wjc7c48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306291355.pdf","grobid_xml":"https://content.openalex.org/works/W4306291355.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W156280357","https://openalex.org/W1972567154","https://openalex.org/W2028279413","https://openalex.org/W2031342017","https://openalex.org/W2115733720","https://openalex.org/W2127589108","https://openalex.org/W2148624041","https://openalex.org/W2191006491","https://openalex.org/W2508317201","https://openalex.org/W2555541613","https://openalex.org/W2565025742","https://openalex.org/W2619383789","https://openalex.org/W2736616122","https://openalex.org/W2778439859","https://openalex.org/W2783741806","https://openalex.org/W2794861414","https://openalex.org/W2929297339","https://openalex.org/W2931364255","https://openalex.org/W2963540401","https://openalex.org/W2981023147","https://openalex.org/W3015205011","https://openalex.org/W3019898994","https://openalex.org/W3032266608","https://openalex.org/W3108671495","https://openalex.org/W3109078334","https://openalex.org/W3113047382","https://openalex.org/W3123679857","https://openalex.org/W3128633075","https://openalex.org/W3162834140"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4290792893","https://openalex.org/W2163782938","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2908278544","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W4306291355"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"proposes":[3],"a":[4,44,82,144],"modeling":[5,20],"scheme":[6,148],"for":[7,94,161],"cyber":[8],"physical":[9],"systems":[10],"operating":[11],"in":[12,59],"non-stationary,":[13],"small":[14],"data":[15,90,146],"environments.":[16],"Unlike":[17],"the":[18,24,28,60,75,78,97,124,158,166,171],"traditional":[19],"logic,":[21],"we":[22,42,142,164],"introduce":[23],"few-shot":[25],"learning":[26],"paradigm,":[27],"operation":[29],"of":[30,77,123],"which":[31,56],"is":[32,81],"based":[33],"on":[34,65],"quantifying":[35],"both":[36],"similarities":[37],"and":[38,112,127],"dissimilarities.":[39],"As":[40],"such,":[41],"designed":[43],"suitable":[45],"change":[46],"detection":[47],"mechanism":[48],"able":[49],"to":[50,157],"reveal":[51],"previously":[52],"unknown":[53],"operational":[54,100],"states,":[55],"are":[57,102,138],"incorporated":[58],"dictionary":[61],"online.":[62],"We":[63],"elaborate":[64],"spectrograms":[66],"extracted":[67],"from":[68],"high-resolution":[69],"ultrasound":[70],"depth":[71],"sensor":[72],"timeseries,":[73],"while":[74],"backbone":[76],"proposed":[79],"method":[80],"Siamese":[83],"Neural":[84],"Network.":[85],"The":[86],"experimental":[87],"scenario":[88],"considers":[89],"representing":[91],"liquid":[92],"containers":[93],"fuel/water":[95],"when":[96,132],"following":[98],"five":[99],"states":[101],"present:":[103],"normal":[104],",":[105,107,109,111],"accident":[106],"breakdown":[108],"sabotage":[110],"cyber-attack":[113],".":[114],"Thorough":[115],"experiments":[116],"were":[117],"carried":[118],"out":[119],"assessing":[120],"every":[121],"aspect":[122],"present":[125],"framework":[126],"demonstrating":[128],"its":[129],"efficacy":[130],"even":[131],"very":[133],"few":[134],"samples":[135],"per":[136],"class":[137],"available.":[139],"In":[140],"addition,":[141],"propose":[143],"probabilistic":[145],"selection":[147],"facilitating":[149],"one-shot":[150],"learning.":[151],"Last":[152],"but":[153],"not":[154],"least,":[155],"responding":[156],"wide":[159],"requirement":[160],"interpretable":[162],"AI,":[163],"explain":[165],"obtained":[167],"predictions":[168],"by":[169],"examining":[170],"layer-wise":[172],"activation":[173],"maps.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
