{"id":"https://openalex.org/W4210701990","doi":"https://doi.org/10.3390/s22031091","title":"Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring","display_name":"Deep Learning Approaches for Robust Time of Arrival Estimation in Acoustic Emission Monitoring","publication_year":2022,"publication_date":"2022-01-31","ids":{"openalex":"https://openalex.org/W4210701990","doi":"https://doi.org/10.3390/s22031091","pmid":"https://pubmed.ncbi.nlm.nih.gov/35161836"},"language":"en","primary_location":{"id":"doi:10.3390/s22031091","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031091","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1091/pdf?version=1644456513","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/3/1091/pdf?version=1644456513","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050594256","display_name":"Federica Zonzini","orcid":"https://orcid.org/0000-0002-2429-1469"},"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":"Federica Zonzini","raw_affiliation_strings":["Advanced Research Center on Electronic Systems \u201cErcole De Castro\u201d (ARCES), University of Bologna, 40136 Bologna, Italy","Advanced Research Center on Electronic Systems \"Ercole De Castro\" (ARCES), University of Bologna, 40136 Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Advanced Research Center on Electronic Systems \u201cErcole De Castro\u201d (ARCES), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Advanced Research Center on Electronic Systems \"Ercole De Castro\" (ARCES), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065272281","display_name":"Denis Bogomolov","orcid":"https://orcid.org/0000-0002-2085-6469"},"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":"Denis Bogomolov","raw_affiliation_strings":["Advanced Research Center on Electronic Systems \u201cErcole De Castro\u201d (ARCES), University of Bologna, 40136 Bologna, Italy","Advanced Research Center on Electronic Systems \"Ercole De Castro\" (ARCES), University of Bologna, 40136 Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Advanced Research Center on Electronic Systems \u201cErcole De Castro\u201d (ARCES), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Advanced Research Center on Electronic Systems \"Ercole De Castro\" (ARCES), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047306091","display_name":"Tanush Dhamija","orcid":"https://orcid.org/0000-0001-6022-9489"},"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":"Tanush Dhamija","raw_affiliation_strings":["Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, 40136 Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048414078","display_name":"Nicola Testoni","orcid":"https://orcid.org/0000-0003-3281-137X"},"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":"Nicola Testoni","raw_affiliation_strings":["Advanced Research Center on Electronic Systems \u201cErcole De Castro\u201d (ARCES), University of Bologna, 40136 Bologna, Italy","Advanced Research Center on Electronic Systems \"Ercole De Castro\" (ARCES), University of Bologna, 40136 Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Advanced Research Center on Electronic Systems \u201cErcole De Castro\u201d (ARCES), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Advanced Research Center on Electronic Systems \"Ercole De Castro\" (ARCES), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071758029","display_name":"Luca De Marchi","orcid":"https://orcid.org/0000-0003-0637-9472"},"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 De Marchi","raw_affiliation_strings":["Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, 40136 Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016094711","display_name":"Alessandro Marzani","orcid":"https://orcid.org/0000-0001-7697-6729"},"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":"Alessandro Marzani","raw_affiliation_strings":["Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, 40136 Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, 40136 Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050594256"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":5.1022,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9584611,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"22","issue":"3","first_page":"1091","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9980000257492065,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9980000257492065,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9819999933242798,"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/akaike-information-criterion","display_name":"Akaike information criterion","score":0.8225271701812744},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6774041652679443},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.675042450428009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6653691530227661},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6605873107910156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6049857139587402},{"id":"https://openalex.org/keywords/time-of-arrival","display_name":"Time of arrival","score":0.6030881404876709},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.5245009660720825},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5222607254981995},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5071415901184082},{"id":"https://openalex.org/keywords/multilateration","display_name":"Multilateration","score":0.46914854645729065},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4451340138912201},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44204461574554443},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.3992186188697815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3271206319332123},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2862294614315033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2664700746536255},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1678139567375183},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09866145253181458},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09668019413948059}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.8225271701812744},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6774041652679443},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.675042450428009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6653691530227661},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6605873107910156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6049857139587402},{"id":"https://openalex.org/C163150518","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Time of arrival","level":3,"score":0.6030881404876709},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.5245009660720825},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5222607254981995},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5071415901184082},{"id":"https://openalex.org/C104037064","wikidata":"https://www.wikidata.org/wiki/Q1640884","display_name":"Multilateration","level":3,"score":0.46914854645729065},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4451340138912201},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44204461574554443},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3992186188697815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3271206319332123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2862294614315033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2664700746536255},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1678139567375183},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09866145253181458},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09668019413948059},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000162","descriptor_name":"Acoustics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22031091","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031091","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1091/pdf?version=1644456513","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35161836","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35161836","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:cris.unibo.it:11585/850153","is_oa":true,"landing_page_url":"https://www.mdpi.com/1424-8220/22/3/1091","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:fc41ca0260bd4bc2ae232911a0df16df","is_oa":true,"landing_page_url":"https://doaj.org/article/fc41ca0260bd4bc2ae232911a0df16df","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 3, p 1091 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/3/1091/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22031091","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 3; Pages: 1091","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8838549","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8838549","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22031091","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22031091","pdf_url":"https://www.mdpi.com/1424-8220/22/3/1091/pdf?version=1644456513","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210701990.pdf","grobid_xml":"https://content.openalex.org/works/W4210701990.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2022537318","https://openalex.org/W2025516045","https://openalex.org/W2047153320","https://openalex.org/W2056373883","https://openalex.org/W2065454157","https://openalex.org/W2126311075","https://openalex.org/W2137566234","https://openalex.org/W2223599453","https://openalex.org/W2481614672","https://openalex.org/W2492261163","https://openalex.org/W2523547318","https://openalex.org/W2527741779","https://openalex.org/W2560144804","https://openalex.org/W2744070684","https://openalex.org/W2758816065","https://openalex.org/W2794417179","https://openalex.org/W2798828763","https://openalex.org/W2890639900","https://openalex.org/W2890932585","https://openalex.org/W2912290085","https://openalex.org/W2962776455","https://openalex.org/W2963694051","https://openalex.org/W2964169917","https://openalex.org/W2983280015","https://openalex.org/W3102794316","https://openalex.org/W3173499146","https://openalex.org/W3194399708","https://openalex.org/W6727900006","https://openalex.org/W6743912273","https://openalex.org/W6750105550","https://openalex.org/W6766310850","https://openalex.org/W7054408856"],"related_works":["https://openalex.org/W2095065017","https://openalex.org/W1974000248","https://openalex.org/W2138144598","https://openalex.org/W2742766041","https://openalex.org/W2171533994","https://openalex.org/W2066348132","https://openalex.org/W2082010652","https://openalex.org/W2099208041","https://openalex.org/W2085803349","https://openalex.org/W2132956114"],"abstract_inverted_index":{"In":[0,25],"this":[1],"work,":[2],"different":[3],"types":[4],"of":[5,14,17,42,125],"artificial":[6],"neural":[7,28,36],"networks":[8],"are":[9,38,65],"investigated":[10],"for":[11,90],"the":[12,15,62,79,106,113,123],"estimation":[13],"time":[16],"arrival":[18],"(ToA)":[19],"in":[20,40,101,122],"acoustic":[21],"emission":[22],"(AE)":[23],"signals.":[24],"particular,":[26],"convolutional":[27],"network":[29,37],"(CNN)":[30],"models":[31,115],"and":[32],"a":[33,92,98,126,136],"novel":[34],"capsule":[35],"proposed":[39],"place":[41],"standard":[43],"statistical":[44],"strategies":[45],"which":[46,91],"cannot":[47,57],"handle,":[48],"with":[49,76,132],"enough":[50],"robustness,":[51],"very":[52],"noisy":[53],"scenarios":[54],"and,":[55],"thus,":[56],"be":[58],"sufficiently":[59],"reliable":[60],"when":[61,103],"signal":[63],"statistics":[64],"perturbed":[66],"by":[67],"local":[68],"drifts":[69],"or":[70],"outliers.":[71],"This":[72],"concept":[73],"was":[74,84],"validated":[75],"two":[77],"experiments:":[78],"pure":[80],"ToA":[81],"identification":[82],"capability":[83],"firstly":[85],"assessed":[86],"on":[87,135],"synthetic":[88],"signals":[89],"ground":[93],"truth":[94],"is":[95],"available,":[96],"showing":[97],"10\u00d7":[99],"gain":[100],"accuracy":[102],"compared":[104],"to":[105,129],"classical":[107],"Akaike":[108],"information":[109],"criterion":[110],"(AIC).":[111],"Then,":[112],"same":[114],"were":[116],"tested":[117],"via":[118],"experimental":[119],"data":[120],"acquired":[121],"framework":[124],"localization":[127],"problem":[128],"identify":[130],"targets":[131],"known":[133],"coordinates":[134],"square":[137],"aluminum":[138],"plate,":[139],"demonstrating":[140],"an":[141],"overreaching":[142],"precision":[143],"under":[144],"significant":[145],"noise":[146],"levels.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}