{"id":"https://openalex.org/W4298000474","doi":"https://doi.org/10.5220/0000166200003332","title":"Proceedings of the 14th International Joint Conference on Computational Intelligence","display_name":"Proceedings of the 14th International Joint Conference on Computational Intelligence","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W4298000474","doi":"https://doi.org/10.5220/0000166200003332"},"language":"en","primary_location":{"id":"doi:10.5220/0000166200003332","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0000166200003332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"type":"paratext","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":null,"display_name":"Mario G. C. A. Cimino","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mario G. C. A. Cimino","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Federico A. Galatolo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Federico A. Galatolo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Marco Parola","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Parola","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Nicola Perilli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicola Perilli","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Nunziante Squeglia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nunziante Squeglia","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.8191999793052673,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.8191999793052673,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10876","display_name":"Fault Detection and Control Systems","score":0.021400000900030136,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.017799999564886093,"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/joint","display_name":"Joint (building)","score":0.6514081358909607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6325125098228455},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.526783287525177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37861502170562744},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15188440680503845},{"id":"https://openalex.org/keywords/architectural-engineering","display_name":"Architectural engineering","score":0.052482932806015015}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6514081358909607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6325125098228455},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.526783287525177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37861502170562744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15188440680503845},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.052482932806015015}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0000166200003332","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0000166200003332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},{"id":"pmh:oai:arpi.unipi.it:11568/1151401","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1151401","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":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2030530201","https://openalex.org/W3096054746","https://openalex.org/W3107474891","https://openalex.org/W3199858452","https://openalex.org/W2351267244","https://openalex.org/W3011555937","https://openalex.org/W2027246577","https://openalex.org/W4312221968","https://openalex.org/W2790424990","https://openalex.org/W2912695858"],"abstract_inverted_index":{"Structural":[0],"health":[1],"monitoring":[2,46],"of":[3,18,52,69,90,132,142],"buildings":[4,41],"via":[5],"agnostic":[6,67],"approaches":[7,112],"is":[8,96],"a":[9,62,128,138],"research":[10],"challenge.":[11],"However,":[12],"due":[13],"to":[14,45,78,106],"the":[15,50,66,79,87,133,143],"recent":[16,111],"advent":[17],"pervasive":[19],"multi-sensor":[20],"systems,":[21],"historical":[22,40],"data":[23,94],"samples":[24],"are":[25,31,113,123],"still":[26],"limited.":[27],"Consequently,":[28],"datadriven":[29],"methods":[30],"often":[32],"unfeasible":[33],"for":[34,47,65],"long-term":[35],"assessment.":[36],"Nevertheless,":[37],"some":[38],"famous":[39],"have":[42],"been":[43,76],"subject":[44],"decades,":[48],"before":[49],"development":[51],"smart":[53],"sensors":[54],"and":[55,100,110,119,125],"Deep":[56],"Learning":[57],"(DL).":[58],"This":[59],"paper":[60],"presents":[61],"DL":[63],"approach":[64,74],"assessment":[68],"structural":[70],"changes.":[71],"The":[72,93],"proposed":[73],"has":[75],"experimented":[77],"stabilizing":[80],"intervention":[81],"carried":[82],"out":[83],"in":[84],"2000-2002":[85],"on":[86],"leaning":[88],"tower":[89],"Pisa":[91],"(Italy).":[92],"set":[95],"made":[97],"by":[98],"operational":[99],"environmental":[101],"measures":[102],"collected":[103],"from":[104],"1993":[105],"2006.":[107],"Both":[108],"conventional":[109],"compared:":[114],"Multiple":[115],"Linear":[116],"regression,":[117],"LSTM":[118],"Tansformer.":[120],"Experimental":[121],"results":[122],"promising,":[124],"clearly":[126],"shows":[127],"better":[129,139],"change":[130],"sensitivity":[131],"LSTM,":[134],"as":[135,137],"well":[136],"modeling":[140],"accuracy":[141],"Transformer.":[144]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}