{"id":"https://openalex.org/W4283720161","doi":"https://doi.org/10.1109/codit55151.2022.9803960","title":"Defect detection by a deep learning approach with active IR thermography","display_name":"Defect detection by a deep learning approach with active IR thermography","publication_year":2022,"publication_date":"2022-05-17","ids":{"openalex":"https://openalex.org/W4283720161","doi":"https://doi.org/10.1109/codit55151.2022.9803960"},"language":"en","primary_location":{"id":"doi:10.1109/codit55151.2022.9803960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit55151.2022.9803960","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","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 8th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5037813292","display_name":"Giovanna Guaragnella","orcid":null},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanna Guaragnella","raw_affiliation_strings":["Politecnico di Bari,Department of Mechanics, Mathematics and Management,Bari,Italy","Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Bari,Department of Mechanics, Mathematics and Management,Bari,Italy","institution_ids":["https://openalex.org/I68618741"]},{"raw_affiliation_string":"Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048030317","display_name":"Davide Morelli","orcid":"https://orcid.org/0000-0001-7918-6220"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Morelli","raw_affiliation_strings":["Universit&#x00E0; degli studi di Modena e Reggio Emilia,Modena,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; degli studi di Modena e Reggio Emilia,Modena,Italy","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050637227","display_name":"Tiziana D\u2019Orazio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tiziana D'Orazio","raw_affiliation_strings":["CNR-STIIMA,Bari,Italy","CNR-STIIMA, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-STIIMA,Bari,Italy","institution_ids":[]},{"raw_affiliation_string":"CNR-STIIMA, Bari, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058040739","display_name":"Umberto Galietti","orcid":"https://orcid.org/0000-0001-8725-5927"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Umberto Galietti","raw_affiliation_strings":["Politecnico di Bari,Department of Mechanics, Mathematics and Management,Bari,Italy","Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Bari,Department of Mechanics, Mathematics and Management,Bari,Italy","institution_ids":["https://openalex.org/I68618741"]},{"raw_affiliation_string":"Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045469442","display_name":"Bartolomeo Trentadue","orcid":"https://orcid.org/0000-0002-5759-0692"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bartolomeo Trentadue","raw_affiliation_strings":["Politecnico di Bari,Department of Mechanics, Mathematics and Management,Bari,Italy","Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Bari,Department of Mechanics, Mathematics and Management,Bari,Italy","institution_ids":["https://openalex.org/I68618741"]},{"raw_affiliation_string":"Department of Mechanics, Mathematics and Management, Politecnico di Bari, Bari, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084118255","display_name":"Roberto Marani","orcid":"https://orcid.org/0000-0002-5599-903X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roberto Marani","raw_affiliation_strings":["CNR-STIIMA,Bari,Italy","CNR-STIIMA, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"CNR-STIIMA,Bari,Italy","institution_ids":[]},{"raw_affiliation_string":"CNR-STIIMA, Bari, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5037813292"],"corresponding_institution_ids":["https://openalex.org/I68618741"],"apc_list":null,"apc_paid":null,"fwci":3.7172,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92035398,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.9923999905586243,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9771000146865845,"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/thermography","display_name":"Thermography","score":0.9450851082801819},{"id":"https://openalex.org/keywords/nondestructive-testing","display_name":"Nondestructive testing","score":0.6791776418685913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6229739785194397},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6130661964416504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5649431943893433},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5073444247245789},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4305761456489563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3888629972934723},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.37509602308273315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34482425451278687},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.32275837659835815},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24767473340034485},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07499286532402039}],"concepts":[{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.9450851082801819},{"id":"https://openalex.org/C56529433","wikidata":"https://www.wikidata.org/wiki/Q626700","display_name":"Nondestructive testing","level":2,"score":0.6791776418685913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6229739785194397},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6130661964416504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5649431943893433},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5073444247245789},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4305761456489563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3888629972934723},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.37509602308273315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34482425451278687},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.32275837659835815},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24767473340034485},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07499286532402039},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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":1,"locations":[{"id":"doi:10.1109/codit55151.2022.9803960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit55151.2022.9803960","pdf_url":null,"source":{"id":"https://openalex.org/S4363607900","display_name":"2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)","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 8th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2038798543","https://openalex.org/W2298335408","https://openalex.org/W2319977505","https://openalex.org/W2337083997","https://openalex.org/W2905812709","https://openalex.org/W3204394824"],"related_works":["https://openalex.org/W2994919662","https://openalex.org/W3041672627","https://openalex.org/W346129553","https://openalex.org/W4283209813","https://openalex.org/W2353087477","https://openalex.org/W1979671329","https://openalex.org/W2028943086","https://openalex.org/W4226305447","https://openalex.org/W2571943642","https://openalex.org/W1522196789"],"abstract_inverted_index":{"N":[0],"owadays,":[1],"non-destructive":[2],"techniques":[3],"(NDT)":[4],"playa":[5],"fundamental":[6],"role":[7],"in":[8,71,112],"the":[9,53,57,106],"production":[10],"industry":[11],"since":[12],"early":[13],"defects":[14,46,70,102],"detection":[15],"(EDD)":[16],"can":[17],"reduce":[18],"possible":[19],"costs":[20],"and":[21,32,63],"avoid":[22],"catastrophic":[23],"failures.":[24],"Under":[25],"these":[26],"aspects,":[27],"all":[28],"methods":[29],"for":[30],"fast":[31],"reliable":[33],"inspection":[34],"deserve":[35],"special":[36],"attention.":[37],"This":[38],"paper":[39],"proposes":[40],"a":[41,78,83],"method":[42],"to":[43],"detect":[44],"manufacturing":[45],"or":[47],"other":[48],"damage":[49],"mechanisms":[50],"without":[51],"compromising":[52],"original":[54],"condition":[55],"of":[56,69],"material":[58],"using":[59,77],"active":[60],"IR":[61],"thermography":[62,89],"automatic":[64,113],"semantic":[65],"segmentation.":[66],"The":[67],"segmentation":[68],"composite":[72],"materials":[73],"is":[74],"achieved":[75],"by":[76],"deep":[79],"learning":[80],"algorithm":[81],"on":[82,98],"high-variance":[84],"dataset":[85],"obtained":[86],"performing":[87],"lock-in":[88],"under":[90],"five":[91],"different":[92],"heat":[93],"source":[94],"configurations.":[95],"Experimental":[96],"results":[97],"specimens":[99],"with":[100],"known":[101],"have":[103],"demonstrated":[104],"that":[105],"proposed":[107],"methodology":[108],"provides":[109],"satisfying":[110],"performances":[111],"defect":[114],"detection.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
