{"id":"https://openalex.org/W4295855485","doi":"https://doi.org/10.1109/aicas54282.2022.9869952","title":"Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring","display_name":"Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring","publication_year":2022,"publication_date":"2022-06-13","ids":{"openalex":"https://openalex.org/W4295855485","doi":"https://doi.org/10.1109/aicas54282.2022.9869952"},"language":"en","primary_location":{"id":"doi:10.1109/aicas54282.2022.9869952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas54282.2022.9869952","pdf_url":null,"source":{"id":"https://openalex.org/S4363608281","display_name":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ieeexplore.ieee.org/document/9869952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032095821","display_name":"Alessio Burrello","orcid":"https://orcid.org/0000-0002-6215-8220"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alessio Burrello","raw_affiliation_strings":["University of Bologna,DEI,Bologna,Italy,40136"],"affiliations":[{"raw_affiliation_string":"University of Bologna,DEI,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027399178","display_name":"Giacomo Sintoni","orcid":null},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giacomo Sintoni","raw_affiliation_strings":["University of Bologna,DEI,Bologna,Italy,40136"],"affiliations":[{"raw_affiliation_string":"University of Bologna,DEI,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030075617","display_name":"Davide Brunelli","orcid":"https://orcid.org/0000-0001-5110-6823"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Brunelli","raw_affiliation_strings":["University of Trento,DII,Trento,Italy,38123"],"affiliations":[{"raw_affiliation_string":"University of Trento,DII,Trento,Italy,38123","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043408422","display_name":"Luca Benini","orcid":"https://orcid.org/0000-0001-8068-3806"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Benini","raw_affiliation_strings":["University of Bologna,DEI,Bologna,Italy,40136"],"affiliations":[{"raw_affiliation_string":"University of Bologna,DEI,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032095821"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":1.1405,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75876923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"439","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.7799445986747742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7584288120269775},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.726456880569458},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6370427012443542},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.6255922317504883},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5828532576560974},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.4629318118095398},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45009949803352356},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4461565315723419},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4396759271621704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42276713252067566},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41364622116088867},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.20361366868019104},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14938834309577942},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14315176010131836},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12343072891235352},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12303614616394043},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.083285391330719}],"concepts":[{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.7799445986747742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584288120269775},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.726456880569458},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6370427012443542},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6255922317504883},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5828532576560974},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.4629318118095398},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45009949803352356},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4461565315723419},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4396759271621704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42276713252067566},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41364622116088867},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.20361366868019104},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14938834309577942},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14315176010131836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12343072891235352},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12303614616394043},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.083285391330719},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/aicas54282.2022.9869952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas54282.2022.9869952","pdf_url":null,"source":{"id":"https://openalex.org/S4363608281","display_name":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/904586","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9869952","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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/conferenceObject"},{"id":"pmh:oai:iris.unitn.it:11572/338332","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9869952/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:cris.unibo.it:11585/904586","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9869952","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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/conferenceObject"},"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2002072593","https://openalex.org/W2102448152","https://openalex.org/W2739748921","https://openalex.org/W2758564008","https://openalex.org/W2888040621","https://openalex.org/W3039105774","https://openalex.org/W3082847746","https://openalex.org/W3090675507","https://openalex.org/W3136173905","https://openalex.org/W3175295277","https://openalex.org/W4320013936","https://openalex.org/W6741832134"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2502115930","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4386041242"],"abstract_inverted_index":{"Structural":[0],"Health":[1],"Monitoring":[2],"(SHM)":[3],"systems":[4],"are":[5],"increasingly":[6],"employed":[7],"in":[8,63,107,134],"many":[9],"civil":[10],"structures":[11],"such":[12],"as":[13,111,113],"buildings,":[14],"tunnels":[15],"and":[16,26,41,60,147],"viaducts.":[17],"Typical":[18],"installations":[19],"consist":[20],"of":[21,45,53,57,66,93],"sensors":[22],"that":[23,82],"gather":[24],"information":[25],"send":[27],"it":[28],"to":[29],"a":[30,54,83,94,144,152],"central":[31],"computing":[32],"unit,":[33],"which":[34,86],"then":[35],"periodically":[36],"analyzes":[37],"the":[38,46,51,64,76,88],"incoming":[39],"data":[40,59],"produces":[42],"an":[43],"assessment":[44],"structure":[47],"conditions.":[48],"To":[49],"avoid":[50],"transmission":[52],"huge":[55],"amount":[56],"raw":[58],"reduce":[61],"latency":[62],"detection":[65],"structural":[67,109],"anomalies,":[68],"recent":[69],"works":[70],"focus":[71],"on":[72,75,116,123,137,143,151],"moving":[73],"computation":[74],"sensor":[77,100],"nodes.":[78],"This":[79],"work":[80],"shows":[81],"small":[84],"autoencoder,":[85],"fits":[87],"tiny":[89],"2":[90],"MB":[91],"memory":[92],"typical":[95],"microcontroller":[96],"used":[97],"for":[98],"SHM":[99],"nodes":[101],"can":[102],"achieve":[103],"very":[104],"competitive":[105],"accuracy":[106,130],"detecting":[108,149],"anomalies":[110,142],"well":[112],"vehicle":[114],"passage":[115],"bridges":[117],"by":[118],"leveraging":[119],"adversarial":[120,125],"training":[121],"based":[122],"generative":[124],"networks":[126],"(GANs).":[127],"We":[128],"improve":[129],"over":[131],"state-of-the-art":[132],"algorithms":[133],"two":[135],"use-cases":[136],"real-standing":[138],"buildings:":[139],"i)":[140],"predicting":[141],"bridge":[145],"(+7.4%)":[146],"ii)":[148],"vehicles":[150],"viaduct":[153],"(2.30":[154],"\u00d7).":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2022-09-15T00:00:00"}