{"id":"https://openalex.org/W2784032999","doi":"https://doi.org/10.3390/s18010209","title":"Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity","display_name":"Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity","publication_year":2018,"publication_date":"2018-01-12","ids":{"openalex":"https://openalex.org/W2784032999","doi":"https://doi.org/10.3390/s18010209","mag":"2784032999","pmid":"https://pubmed.ncbi.nlm.nih.gov/29329268"},"language":"en","primary_location":{"id":"doi:10.3390/s18010209","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010209","pdf_url":"https://www.mdpi.com/1424-8220/18/1/209/pdf?version=1517539032","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/1424-8220/18/1/209/pdf?version=1517539032","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053344554","display_name":"Paolo Napoletano","orcid":"https://orcid.org/0000-0001-9112-0574"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Paolo Napoletano","raw_affiliation_strings":["Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Milan 20126, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9112-0574","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Milan 20126, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066752349","display_name":"Flavio Piccoli","orcid":"https://orcid.org/0000-0001-7432-4284"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Flavio Piccoli","raw_affiliation_strings":["Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Milan 20126, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7432-4284","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Milan 20126, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028039581","display_name":"Raimondo Schettini","orcid":"https://orcid.org/0000-0001-7461-1451"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Raimondo Schettini","raw_affiliation_strings":["Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Milan 20126, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Milan 20126, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053344554"],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":27.9625,"has_fulltext":true,"cited_by_count":292,"citation_normalized_percentile":{"value":0.99659208,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"18","issue":"1","first_page":"209","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994000196456909,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.8248639106750488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.735135555267334},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6916366815567017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6706717014312744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6638415455818176},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6272771954536438},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5513564944267273},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5192299485206604},{"id":"https://openalex.org/keywords/self-similarity","display_name":"Self-similarity","score":0.495047003030777},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4746066927909851},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4474150240421295},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.442018985748291},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.42566585540771484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1500459611415863},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09095326066017151}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8248639106750488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.735135555267334},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6916366815567017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6706717014312744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6638415455818176},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6272771954536438},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5513564944267273},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5192299485206604},{"id":"https://openalex.org/C119453123","wikidata":"https://www.wikidata.org/wiki/Q262372","display_name":"Self-similarity","level":2,"score":0.495047003030777},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4746066927909851},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4474150240421295},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.442018985748291},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.42566585540771484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1500459611415863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09095326066017151},{"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s18010209","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010209","pdf_url":"https://www.mdpi.com/1424-8220/18/1/209/pdf?version=1517539032","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:29329268","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29329268","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":"Journal Article"},{"id":"pmh:oai:boa.unimib.it:10281/183690","is_oa":true,"landing_page_url":"http://hdl.handle.net/10281/183690","pdf_url":"https://boa.unimib.it/bitstream/10281/183690/2/sensors-18.pdf","source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:europepmc.org:4717986","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5795842","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:1f4f6fd094014d11af1f03cd627072bf","is_oa":true,"landing_page_url":"https://doaj.org/article/1f4f6fd094014d11af1f03cd627072bf","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 18, Iss 1, p 209 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s18010209","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010209","pdf_url":"https://www.mdpi.com/1424-8220/18/1/209/pdf?version=1517539032","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/W2784032999.pdf","grobid_xml":"https://content.openalex.org/works/W2784032999.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1529600508","https://openalex.org/W1588043677","https://openalex.org/W1837982953","https://openalex.org/W1853374870","https://openalex.org/W1963882359","https://openalex.org/W1985768241","https://openalex.org/W1991953816","https://openalex.org/W1997978864","https://openalex.org/W2006776449","https://openalex.org/W2025946330","https://openalex.org/W2028926100","https://openalex.org/W2038869416","https://openalex.org/W2042696264","https://openalex.org/W2060078807","https://openalex.org/W2062118960","https://openalex.org/W2070665593","https://openalex.org/W2076063813","https://openalex.org/W2089468765","https://openalex.org/W2091087686","https://openalex.org/W2097117768","https://openalex.org/W2102981928","https://openalex.org/W2108598243","https://openalex.org/W2109925328","https://openalex.org/W2115627867","https://openalex.org/W2117435128","https://openalex.org/W2117539524","https://openalex.org/W2122646361","https://openalex.org/W2137721915","https://openalex.org/W2141039252","https://openalex.org/W2152524298","https://openalex.org/W2153061909","https://openalex.org/W2194775991","https://openalex.org/W2195329569","https://openalex.org/W2286686646","https://openalex.org/W2298674397","https://openalex.org/W2332881062","https://openalex.org/W2462319568","https://openalex.org/W2472743159","https://openalex.org/W2485672092","https://openalex.org/W2492507039","https://openalex.org/W2501037751","https://openalex.org/W2505044565","https://openalex.org/W2545601451","https://openalex.org/W2562062856","https://openalex.org/W2583327644","https://openalex.org/W2597911167","https://openalex.org/W2599557761","https://openalex.org/W2602768560","https://openalex.org/W2963256013","https://openalex.org/W3102733987","https://openalex.org/W3145990053","https://openalex.org/W4255391993","https://openalex.org/W6650006614","https://openalex.org/W6687287252","https://openalex.org/W6735987888"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Automatic":[0],"detection":[1,53],"and":[2,18,54,67],"localization":[3,55],"of":[4,14,21,56,74,76,79,95,109],"anomalies":[5,57],"in":[6,58],"nanofibrous":[7],"materials":[8],"help":[9],"to":[10,92,99],"reduce":[11],"the":[12,15,19,22,29,40,52,72,107,110],"cost":[13],"production":[16],"process":[17],"time":[20],"post-production":[23],"visual":[24,88],"inspection":[25],"process.":[26],"Amongst":[27],"all":[28],"monitoring":[30],"methods,":[31],"those":[32],"exploiting":[33],"Scanning":[34],"Electron":[35],"Microscope":[36],"(SEM)":[37],"imaging":[38],"are":[39],"most":[41],"effective.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"a":[48,86,93,100],"region-based":[49],"method":[50,70,105],"for":[51],"SEM":[59],"images,":[60],"based":[61],"on":[62],"Convolutional":[63],"Neural":[64],"Networks":[65],"(CNNs)":[66],"self-similarity.":[68],"The":[69,103],"evaluates":[71],"degree":[73],"abnormality":[75],"each":[77],"subregion":[78],"an":[80],"image":[81],"under":[82],"consideration":[83],"by":[84],"computing":[85],"CNN-based":[87],"similarity":[89],"with":[90],"respect":[91],"dictionary":[94],"anomaly-free":[96],"subregions":[97],"belonging":[98],"training":[101],"set.":[102],"proposed":[104],"outperforms":[106],"state":[108],"art.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":46},{"year":2022,"cited_by_count":58},{"year":2021,"cited_by_count":62},{"year":2020,"cited_by_count":47},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}
