{"id":"https://openalex.org/W2961592862","doi":"https://doi.org/10.1007/s11222-020-09921-1","title":"Detecting anomalies in fibre systems using 3-dimensional image data","display_name":"Detecting anomalies in fibre systems using 3-dimensional image data","publication_year":2020,"publication_date":"2020-01-28","ids":{"openalex":"https://openalex.org/W2961592862","doi":"https://doi.org/10.1007/s11222-020-09921-1","mag":"2961592862"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-020-09921-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-020-09921-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-020-09921-1.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-020-09921-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031192722","display_name":"Denis Dresvyanskiy","orcid":"https://orcid.org/0000-0002-5141-2561"},"institutions":[{"id":"https://openalex.org/I56490300","display_name":"Siberian State Aerospace University","ror":"https://ror.org/05r50mj29","country_code":"RU","type":"education","lineage":["https://openalex.org/I56490300"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Denis Dresvyanskiy","raw_affiliation_strings":["Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, Russian Federation, 660037","Reshetnev Siberian State University of Science and Technology,Krasnoyarsk,Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, Russian Federation, 660037","institution_ids":["https://openalex.org/I56490300"]},{"raw_affiliation_string":"Reshetnev Siberian State University of Science and Technology,Krasnoyarsk,Russian Federation","institution_ids":["https://openalex.org/I56490300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053635285","display_name":"Tatiana Karaseva","orcid":"https://orcid.org/0000-0002-6880-7092"},"institutions":[{"id":"https://openalex.org/I56490300","display_name":"Siberian State Aerospace University","ror":"https://ror.org/05r50mj29","country_code":"RU","type":"education","lineage":["https://openalex.org/I56490300"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Tatiana Karaseva","raw_affiliation_strings":["Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, Russian Federation, 660037","Reshetnev Siberian State University of Science and Technology,Krasnoyarsk,Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, Russian Federation, 660037","institution_ids":["https://openalex.org/I56490300"]},{"raw_affiliation_string":"Reshetnev Siberian State University of Science and Technology,Krasnoyarsk,Russian Federation","institution_ids":["https://openalex.org/I56490300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074647425","display_name":"Vitalii Makogin","orcid":"https://orcid.org/0000-0002-5849-0132"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Vitalii Makogin","raw_affiliation_strings":["Institut f\u00fcr Stochastik, Universit\u00e4t Ulm, 89069, Ulm, Germany","Institut f\u00fcr Stochastik, Universit\u00e4t Ulm, Ulm, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5849-0132","affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Stochastik, Universit\u00e4t Ulm, 89069, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"Institut f\u00fcr Stochastik, Universit\u00e4t Ulm, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049379056","display_name":"S. A. Mitrofanov","orcid":"https://orcid.org/0000-0002-9420-5714"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]},{"id":"https://openalex.org/I56490300","display_name":"Siberian State Aerospace University","ror":"https://ror.org/05r50mj29","country_code":"RU","type":"education","lineage":["https://openalex.org/I56490300"]}],"countries":["DE","RU"],"is_corresponding":false,"raw_author_name":"Sergei Mitrofanov","raw_affiliation_strings":["Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, Russian Federation, 660037","University of Ulm"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, Russian Federation, 660037","institution_ids":["https://openalex.org/I56490300"]},{"raw_affiliation_string":"University of Ulm","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002523915","display_name":"Claudia Redenbach","orcid":"https://orcid.org/0000-0002-8030-069X"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]},{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Claudia Redenbach","raw_affiliation_strings":["Fachbereich Mathematik, Technische Universit\u00e4t Kaiserslautern, Postfach 3049, 67653, Kaiserslautern, Germany","University of Ulm"],"raw_orcid":"https://orcid.org/0000-0002-8030-069X","affiliations":[{"raw_affiliation_string":"Fachbereich Mathematik, Technische Universit\u00e4t Kaiserslautern, Postfach 3049, 67653, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]},{"raw_affiliation_string":"University of Ulm","institution_ids":["https://openalex.org/I196349391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113448981","display_name":"Evgeny Spodarev","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]},{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Evgeny Spodarev","raw_affiliation_strings":["Institut f\u00fcr Stochastik, Universit\u00e4t Ulm, 89069, Ulm, Germany","University of Kaiserslautern"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Stochastik, Universit\u00e4t Ulm, 89069, Ulm, Germany","institution_ids":["https://openalex.org/I196349391"]},{"raw_affiliation_string":"University of Kaiserslautern","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074647425"],"corresponding_institution_ids":["https://openalex.org/I196349391"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00722067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"4","first_page":"817","last_page":"837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991100013256073,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.991100013256073,"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/T10136","display_name":"Statistical Methods and Inference","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"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":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.61469966173172},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.571563184261322},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5187385678291321},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5095934867858887},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5031318068504333},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5006442070007324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4962003827095032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43567103147506714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4230964779853821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41757088899612427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3992769718170166},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.21976613998413086},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1115698516368866},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08409661054611206}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.61469966173172},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.571563184261322},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5187385678291321},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5095934867858887},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5031318068504333},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5006442070007324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4962003827095032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43567103147506714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4230964779853821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41757088899612427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3992769718170166},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.21976613998413086},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1115698516368866},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08409661054611206},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s11222-020-09921-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-020-09921-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-020-09921-1.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1907.06988","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.06988","pdf_url":"https://arxiv.org/pdf/1907.06988","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2961592862","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1907.06988","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:oparu.uni-ulm.de:123456789/48141","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-48141-8","pdf_url":null,"source":{"id":"https://openalex.org/S4306400353","display_name":"OPen Access Repositorium der Universit\u00e4t Ulm (OPARU) (Ulm University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I196349391","host_organization_name":"Universit\u00e4t Ulm","host_organization_lineage":["https://openalex.org/I196349391"],"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/article"},{"id":"doi:10.48550/arxiv.1907.06988","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.06988","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.18725/oparu-48065","is_oa":true,"landing_page_url":"https://doi.org/10.18725/oparu-48065","pdf_url":null,"source":{"id":"https://openalex.org/S7407052964","display_name":"Universit\u00e4t Ulm, Kommunikations- und Informationszentrum (kiz)","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Other"}],"best_oa_location":{"id":"doi:10.1007/s11222-020-09921-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-020-09921-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-020-09921-1.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G2515715936","display_name":null,"funder_award_id":"GrK1932","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7262212619","display_name":null,"funder_award_id":"SP 971/10-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7292857611","display_name":"Exkursionsmengen von zuf\u00e4lligen Feldern mit langem Ged\u00e4chtnis","funder_award_id":"390879134","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2961592862.pdf","grobid_xml":"https://content.openalex.org/works/W2961592862.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W221263235","https://openalex.org/W570079189","https://openalex.org/W639907764","https://openalex.org/W1558325419","https://openalex.org/W1568847598","https://openalex.org/W1577286032","https://openalex.org/W1597939805","https://openalex.org/W1653384328","https://openalex.org/W1980035885","https://openalex.org/W1980430435","https://openalex.org/W2007666360","https://openalex.org/W2010589130","https://openalex.org/W2011585456","https://openalex.org/W2019814969","https://openalex.org/W2028684391","https://openalex.org/W2036195478","https://openalex.org/W2044535354","https://openalex.org/W2051903196","https://openalex.org/W2063168839","https://openalex.org/W2069933302","https://openalex.org/W2077825286","https://openalex.org/W2092181025","https://openalex.org/W2092701412","https://openalex.org/W2107219361","https://openalex.org/W2118166339","https://openalex.org/W2157587770","https://openalex.org/W2237470580","https://openalex.org/W2479531384","https://openalex.org/W2560635126","https://openalex.org/W2612166593","https://openalex.org/W2762797114","https://openalex.org/W2769875401","https://openalex.org/W2777948323","https://openalex.org/W2899341435","https://openalex.org/W2962687584","https://openalex.org/W2962714659","https://openalex.org/W2963022420","https://openalex.org/W2963441337","https://openalex.org/W2963924745","https://openalex.org/W2964099478","https://openalex.org/W3098614208","https://openalex.org/W3101750046","https://openalex.org/W3141976963","https://openalex.org/W3163295295","https://openalex.org/W4238652859","https://openalex.org/W4242827784","https://openalex.org/W7010255552"],"related_works":["https://openalex.org/W3005387255","https://openalex.org/W3098614208","https://openalex.org/W2978340708","https://openalex.org/W2793913048","https://openalex.org/W2186610865","https://openalex.org/W1517810830","https://openalex.org/W1552850791","https://openalex.org/W2102256379","https://openalex.org/W1549215577","https://openalex.org/W2089887086","https://openalex.org/W2091002166","https://openalex.org/W2586743373","https://openalex.org/W2056715973","https://openalex.org/W1973079282","https://openalex.org/W2335936511","https://openalex.org/W1971281902","https://openalex.org/W2680287507","https://openalex.org/W2046848126","https://openalex.org/W2088399178","https://openalex.org/W2009206745"],"abstract_inverted_index":{"Abstract":[0],"We":[1,19,77],"consider":[2,96],"the":[3,9,21,58,66,69,85,92,98,116],"problem":[4],"of":[5,12,26,43,62,68,75,84,100,122,143],"detecting":[6],"anomalies":[7],"in":[8,16],"directional":[10,70],"distribution":[11],"fibre":[13,46,64,145],"materials":[14],"observed":[15],"3D":[17,141],"images.":[18,134],"divide":[20],"image":[22,142],"into":[23,32],"a":[24,41,73,80,107,123,140,144],"set":[25],"scanning":[27,50],"windows":[28],"and":[29,37,72,114],"classify":[30],"them":[31],"two":[33],"clusters:":[34],"homogeneous":[35],"material":[36],"anomaly.":[38],"Based":[39],"on":[40,132],"sample":[42],"estimated":[44],"local":[45,63],"directions,":[47,65],"for":[48,111,119],"each":[49],"window":[51],"we":[52,94,105],"compute":[53],"several":[54],"classification":[55],"attributes,":[56],"namely":[57],"coordinate":[59],"wise":[60],"means":[61],"entropy":[67],"distribution,":[71],"combination":[74],"them.":[76],"also":[78,95],"propose":[79],"new":[81],"spatial":[82],"modification":[83],"Stochastic":[86],"Approximation":[87],"Expectation-Maximization":[88],"(SAEM)":[89],"algorithm.":[90],"Besides":[91],"clustering":[93],"testing":[97],"significance":[99],"anomalies.":[101],"To":[102],"this":[103],"end,":[104],"apply":[106],"change":[108],"point":[109],"technique":[110],"random":[112],"fields":[113],"derive":[115],"exact":[117],"inequalities":[118],"tail":[120],"probabilities":[121],"test":[124],"statistic.":[125],"The":[126],"proposed":[127],"methodology":[128],"is":[129,137],"first":[130],"validated":[131],"simulated":[133],"Finally,":[135],"it":[136],"applied":[138],"to":[139],"reinforced":[146],"polymer.":[147]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
