{"id":"https://openalex.org/W3205204392","doi":"https://doi.org/10.3390/s21206772","title":"Remaining Useful Life Prediction from 3D Scan Data with Genetically Optimized Convolutional Neural Networks","display_name":"Remaining Useful Life Prediction from 3D Scan Data with Genetically Optimized Convolutional Neural Networks","publication_year":2021,"publication_date":"2021-10-12","ids":{"openalex":"https://openalex.org/W3205204392","doi":"https://doi.org/10.3390/s21206772","mag":"3205204392","pmid":"https://pubmed.ncbi.nlm.nih.gov/34695985"},"language":"en","primary_location":{"id":"doi:10.3390/s21206772","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206772","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6772/pdf?version=1634696902","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/1424-8220/21/20/6772/pdf?version=1634696902","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064095344","display_name":"Giovanni Diraco","orcid":"https://orcid.org/0000-0002-9737-3721"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210165120","display_name":"Institute for Microelectronics and Microsystems","ror":"https://ror.org/05vk2g845","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210165120"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanni Diraco","raw_affiliation_strings":["IMM\u2014Institute for Microelectronics and Microsystems, National Research Council of Italy, 73100 Lecce, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9737-3721","affiliations":[{"raw_affiliation_string":"IMM\u2014Institute for Microelectronics and Microsystems, National Research Council of Italy, 73100 Lecce, Italy","institution_ids":["https://openalex.org/I4210165120","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073091905","display_name":"Pietro Siciliano","orcid":"https://orcid.org/0000-0002-1312-4593"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210165120","display_name":"Institute for Microelectronics and Microsystems","ror":"https://ror.org/05vk2g845","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210165120"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Siciliano","raw_affiliation_strings":["IMM\u2014Institute for Microelectronics and Microsystems, National Research Council of Italy, 73100 Lecce, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMM\u2014Institute for Microelectronics and Microsystems, National Research Council of Italy, 73100 Lecce, Italy","institution_ids":["https://openalex.org/I4210165120","https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037356012","display_name":"Alessandro Leone","orcid":"https://orcid.org/0000-0002-8970-3313"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210165120","display_name":"Institute for Microelectronics and Microsystems","ror":"https://ror.org/05vk2g845","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210165120"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Leone","raw_affiliation_strings":["IMM\u2014Institute for Microelectronics and Microsystems, National Research Council of Italy, 73100 Lecce, Italy"],"raw_orcid":"https://orcid.org/0000-0002-8970-3313","affiliations":[{"raw_affiliation_string":"IMM\u2014Institute for Microelectronics and Microsystems, National Research Council of Italy, 73100 Lecce, Italy","institution_ids":["https://openalex.org/I4210165120","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064095344"],"corresponding_institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210165120"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7888,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6877941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"20","first_page":"6772","last_page":"6772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10188","display_name":"Advanced machining processes and optimization","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7564123868942261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6317821741104126},{"id":"https://openalex.org/keywords/downtime","display_name":"Downtime","score":0.5898681879043579},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5818814039230347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5781527757644653},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5568535923957825},{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.5420932769775391},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5088322758674622},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4784303307533264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4736042022705078},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4453085660934448},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.43868255615234375},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41314947605133057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3417039215564728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3354165554046631},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1103350818157196}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7564123868942261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317821741104126},{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.5898681879043579},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5818814039230347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5781527757644653},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5568535923957825},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.5420932769775391},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5088322758674622},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4784303307533264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4736042022705078},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4453085660934448},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.43868255615234375},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41314947605133057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3417039215564728},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3354165554046631},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1103350818157196},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s21206772","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206772","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6772/pdf?version=1634696902","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:34695985","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34695985","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:doaj.org/article:73990036e70d42198b835d23b9fe645d","is_oa":true,"landing_page_url":"https://doaj.org/article/73990036e70d42198b835d23b9fe645d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 20, p 6772 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:7429257","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8541140","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/20/6772/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21206772","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 21; Issue 20; Pages: 6772","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8541140","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8541140","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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/s21206772","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21206772","pdf_url":"https://www.mdpi.com/1424-8220/21/20/6772/pdf?version=1634696902","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":[{"id":"https://metadata.un.org/sdg/12","score":0.4300000071525574,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G2484832597","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3205204392.pdf","grobid_xml":"https://content.openalex.org/works/W3205204392.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W809430598","https://openalex.org/W1538131130","https://openalex.org/W1964357740","https://openalex.org/W1974076946","https://openalex.org/W2001619934","https://openalex.org/W2043779128","https://openalex.org/W2049981393","https://openalex.org/W2055873761","https://openalex.org/W2063549868","https://openalex.org/W2066289742","https://openalex.org/W2071128523","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2108598243","https://openalex.org/W2110787940","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2166706236","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2294798173","https://openalex.org/W2337713278","https://openalex.org/W2415594836","https://openalex.org/W2463319845","https://openalex.org/W2466930957","https://openalex.org/W2471161958","https://openalex.org/W2498631646","https://openalex.org/W2531409750","https://openalex.org/W2603225712","https://openalex.org/W2618530766","https://openalex.org/W2744067593","https://openalex.org/W2747276445","https://openalex.org/W2772084711","https://openalex.org/W2795099492","https://openalex.org/W2799972844","https://openalex.org/W2810292802","https://openalex.org/W2887044785","https://openalex.org/W2900529838","https://openalex.org/W2942231644","https://openalex.org/W2946948417","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2964081807","https://openalex.org/W2964350391","https://openalex.org/W2972227710","https://openalex.org/W2993751684","https://openalex.org/W2996367417","https://openalex.org/W2998115525","https://openalex.org/W3020895169","https://openalex.org/W3036545762","https://openalex.org/W3042756942","https://openalex.org/W3095741271","https://openalex.org/W3097709995","https://openalex.org/W3128575840","https://openalex.org/W3146674346","https://openalex.org/W3157487644","https://openalex.org/W4239944110","https://openalex.org/W4299541734","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6684249991","https://openalex.org/W6973559833"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W3213192587","https://openalex.org/W2144291498","https://openalex.org/W2535730979","https://openalex.org/W3193475673","https://openalex.org/W2370073012","https://openalex.org/W4386567722","https://openalex.org/W2168646784","https://openalex.org/W1557405600","https://openalex.org/W1601861909"],"abstract_inverted_index":{"In":[0,56],"the":[1,10,26,30,57,70,88,109,112,143,164],"current":[2],"industrial":[3],"landscape,":[4],"increasingly":[5],"pervaded":[6],"by":[7,83,157],"technological":[8],"innovations,":[9],"adoption":[11],"of":[12,48,75,101,111,135,145,167,205],"optimized":[13,161,194],"strategies":[14,28],"for":[15,69,149],"asset":[16],"management":[17,41],"is":[18,36,81,93],"becoming":[19],"a":[20,76,96,172,182,212],"critical":[21],"key":[22],"success":[23],"factor.":[24],"Among":[25],"various":[27],"available,":[29],"\"Prognostics":[31],"and":[32,51,118,137],"Health":[33],"Management\"":[34],"strategy":[35],"able":[37],"to":[38,140,203],"support":[39,178,222],"maintenance":[40],"decisions":[42],"more":[43],"accurately,":[44],"through":[45],"continuous":[46],"monitoring":[47],"equipment":[49],"health":[50],"\"Remaining":[52],"Useful":[53],"Life\"":[54],"forecasting.":[55],"present":[58],"study,":[59],"convolutional":[60,146],"neural":[61,64,147],"network-based":[62],"deep":[63],"network":[65],"techniques":[66],"are":[67,127,154],"investigated":[68],"remaining":[71],"useful":[72],"life":[73],"prediction":[74],"punch":[77],"tool,":[78],"whose":[79],"degradation":[80],"caused":[82],"working":[84],"surface":[85],"deformations":[86],"during":[87,108],"machining":[89],"process.":[90],"Surface":[91],"deformation":[92],"determined":[94],"using":[95,171],"3D":[97,122],"scanning":[98],"sensor":[99],"capable":[100],"returning":[102],"point":[103,123],"clouds":[104,124],"with":[105,163],"micrometric":[106],"accuracy":[107],"operation":[110],"punching":[113],"machine,":[114],"avoiding":[115],"both":[116],"downtime":[117],"human":[119],"intervention.":[120],"The":[121,184],"thus":[125],"obtained":[126],"transformed":[128],"into":[129],"bidimensional":[130],"image-type":[131],"maps,":[132],"i.e.,":[133,177],"maps":[134,153],"depths":[136],"normal":[138],"vectors,":[139],"fully":[141],"exploit":[142],"potential":[144],"networks":[148],"extracting":[150],"features.":[151],"Such":[152],"then":[155],"processed":[156],"comparing":[158],"15":[159],"genetically":[160],"architectures":[162,195],"transfer":[165,206],"learning":[166,175],"19":[168],"pretrained":[169],"models,":[170],"classic":[173],"machine":[174],"approach,":[176],"vector":[179,223],"regression,":[180],"as":[181],"benchmark.":[183],"achieved":[185],"results":[186],"clearly":[187],"show":[188],"that,":[189],"in":[190],"this":[191],"specific":[192],"case,":[193],"provide":[196],"performance":[197],"far":[198],"superior":[199],"(MAPE":[200,218,225],"=":[201,219,226],"0.058)":[202],"that":[204],"learning,":[207],"which,":[208],"instead,":[209],"remains":[210],"at":[211],"lower":[213],"or":[214],"slightly":[215],"higher":[216],"level":[217],"0.416)":[220],"than":[221],"regression":[224],"0.857).":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}