{"id":"https://openalex.org/W7165844818","doi":"https://doi.org/10.1109/sensys-adjunct71932.2026.00060","title":"Poster Abstract: Trust Your Scrap: Deep Learning for Quality Control","display_name":"Poster Abstract: Trust Your Scrap: Deep Learning for Quality Control","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7165844818","doi":"https://doi.org/10.1109/sensys-adjunct71932.2026.00060"},"language":null,"primary_location":{"id":"doi:10.1109/sensys-adjunct71932.2026.00060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensys-adjunct71932.2026.00060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems - Posters and Demos (SenSys-Adjunct)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5119620031","display_name":"Daniil Storonkin","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Daniil Storonkin","raw_affiliation_strings":["ITMO University,Saint Petersburg,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITMO University,Saint Petersburg,Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036978455","display_name":"Maksim Golyadkin","orcid":"https://orcid.org/0000-0002-0679-6981"},"institutions":[{"id":"https://openalex.org/I4210120041","display_name":"Coletex (Russia)","ror":"https://ror.org/02j6dqk07","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210120041"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Maksim Golyadkin","raw_affiliation_strings":["AXXX,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AXXX,Moscow,Russia","institution_ids":["https://openalex.org/I4210120041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139333876","display_name":"Lya Makarov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120041","display_name":"Coletex (Russia)","ror":"https://ror.org/02j6dqk07","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210120041"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ilya Makarov","raw_affiliation_strings":["AXXX,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AXXX,Moscow,Russia","institution_ids":["https://openalex.org/I4210120041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.73912118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.04450000077486038,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.04450000077486038,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.03799999877810478,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.029600000008940697,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6110000014305115},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6061999797821045},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.542900025844574},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2533000111579895}],"concepts":[{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6110000014305115},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6061999797821045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557200014591217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5486999750137329},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.542900025844574},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2750000059604645},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2468000054359436}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensys-adjunct71932.2026.00060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensys-adjunct71932.2026.00060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems - Posters and Demos (SenSys-Adjunct)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-06-26T00:00:00"}