{"id":"https://openalex.org/W3039453703","doi":"https://doi.org/10.1109/i2mtc43012.2020.9129256","title":"Acoustic Resonance Recognition of Coins","display_name":"Acoustic Resonance Recognition of Coins","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3039453703","doi":"https://doi.org/10.1109/i2mtc43012.2020.9129256","mag":"3039453703"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc43012.2020.9129256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc43012.2020.9129256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5027559803","display_name":"Ivan Kraljevski","orcid":"https://orcid.org/0000-0002-0670-4418"},"institutions":[{"id":"https://openalex.org/I4210145959","display_name":"Fraunhofer Institute for Ceramic Technologies and Systems","ror":"https://ror.org/0448sak71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210145959","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ivan Kraljevski","raw_affiliation_strings":["Cognitive Material Diagnostics, Fraunhofer IKTS, Cottbus, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive Material Diagnostics, Fraunhofer IKTS, Cottbus, Germany","institution_ids":["https://openalex.org/I4210145959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002648634","display_name":"Frank Duckhorn","orcid":"https://orcid.org/0000-0002-1008-9163"},"institutions":[{"id":"https://openalex.org/I4210145959","display_name":"Fraunhofer Institute for Ceramic Technologies and Systems","ror":"https://ror.org/0448sak71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210145959","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Duckhorn","raw_affiliation_strings":["Machine Learning and Data Analysis, Fraunhofer IKTS, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Data Analysis, Fraunhofer IKTS, Dresden, Germany","institution_ids":["https://openalex.org/I4210145959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048001371","display_name":"Yong Chul Ju","orcid":"https://orcid.org/0000-0002-2454-282X"},"institutions":[{"id":"https://openalex.org/I4210145959","display_name":"Fraunhofer Institute for Ceramic Technologies and Systems","ror":"https://ror.org/0448sak71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210145959","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yong Chul Ju","raw_affiliation_strings":["Cognitive Material Diagnostics, Fraunhofer IKTS, Cottbus, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cognitive Material Diagnostics, Fraunhofer IKTS, Cottbus, Germany","institution_ids":["https://openalex.org/I4210145959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076932613","display_name":"Constanze Tschoepe","orcid":"https://orcid.org/0000-0002-3553-8412"},"institutions":[{"id":"https://openalex.org/I4210145959","display_name":"Fraunhofer Institute for Ceramic Technologies and Systems","ror":"https://ror.org/0448sak71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210145959","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Constanze Tschoepe","raw_affiliation_strings":["Machine Learning and Data Analysis, Fraunhofer IKTS, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Data Analysis, Fraunhofer IKTS, Dresden, Germany","institution_ids":["https://openalex.org/I4210145959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957958","display_name":"Christian Richter","orcid":"https://orcid.org/0000-0002-7922-3041"},"institutions":[{"id":"https://openalex.org/I51783024","display_name":"Brandenburg University of Technology Cottbus-Senftenberg","ror":"https://ror.org/02wxx3e24","country_code":"DE","type":"education","lineage":["https://openalex.org/I51783024"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Richter","raw_affiliation_strings":["Chair of Communications Engineering, BTU Cottbus-Senftenberg, Cottbus, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Communications Engineering, BTU Cottbus-Senftenberg, Cottbus, Germany","institution_ids":["https://openalex.org/I51783024"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101784693","display_name":"Matthias Wolff","orcid":"https://orcid.org/0000-0002-3895-7313"},"institutions":[{"id":"https://openalex.org/I51783024","display_name":"Brandenburg University of Technology Cottbus-Senftenberg","ror":"https://ror.org/02wxx3e24","country_code":"DE","type":"education","lineage":["https://openalex.org/I51783024"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Wolff","raw_affiliation_strings":["Chair of Communications Engineering, BTU Cottbus-Senftenberg, Cottbus, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Communications Engineering, BTU Cottbus-Senftenberg, Cottbus, Germany","institution_ids":["https://openalex.org/I51783024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56215456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14319","display_name":"Currency Recognition and Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9571999907493591,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/throwing","display_name":"Throwing","score":0.687716007232666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647838950157166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5658097863197327},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5320219993591309},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4638960361480713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4570872485637665},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.361630916595459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3362921178340912},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.128451406955719}],"concepts":[{"id":"https://openalex.org/C207451115","wikidata":"https://www.wikidata.org/wiki/Q12898216","display_name":"Throwing","level":2,"score":0.687716007232666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647838950157166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5658097863197327},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5320219993591309},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4638960361480713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4570872485637665},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.361630916595459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3362921178340912},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.128451406955719},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/i2mtc43012.2020.9129256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc43012.2020.9129256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-596913","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-596913.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IKTS","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/408444","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/408444","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1520759993","https://openalex.org/W1594356073","https://openalex.org/W1976683713","https://openalex.org/W1978444637","https://openalex.org/W2059185913","https://openalex.org/W2060984583","https://openalex.org/W2086028297","https://openalex.org/W2101234009","https://openalex.org/W2101807845","https://openalex.org/W2103574070","https://openalex.org/W2119821739","https://openalex.org/W2146502635","https://openalex.org/W2153635508","https://openalex.org/W2168737368","https://openalex.org/W2315407026","https://openalex.org/W2402144811","https://openalex.org/W2497601407","https://openalex.org/W2951337953","https://openalex.org/W2953384591","https://openalex.org/W2962756039","https://openalex.org/W2963838685","https://openalex.org/W4239510810","https://openalex.org/W4293665662","https://openalex.org/W6600284362","https://openalex.org/W6675354045","https://openalex.org/W6681435938","https://openalex.org/W6723885753","https://openalex.org/W6729831399"],"related_works":["https://openalex.org/W2757445715","https://openalex.org/W4239855920","https://openalex.org/W2371249440","https://openalex.org/W2365576545","https://openalex.org/W3165347946","https://openalex.org/W4226007727","https://openalex.org/W2059660105","https://openalex.org/W2327671128","https://openalex.org/W2386414876","https://openalex.org/W3029718387"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3],"compare":[4],"different":[5],"machine":[6],"learning":[7,71],"approaches":[8],"applied":[9],"to":[10,50,67],"acoustic":[11],"resonance":[12],"recognition":[13],"of":[14,39,54,60,88,92,101],"coins.":[15],"Euro-cents":[16],"and":[17,57,97,104],"Euro-coins":[18],"were":[19],"classified":[20],"by":[21],"the":[22,27,51,58,61,89,115,122],"sound":[23],"emerging":[24],"when":[25],"throwing":[26],"coins":[28],"onto":[29],"a":[30,36,40],"hard":[31],"surface.The":[32],"used":[33],"dataset":[34],"is":[35],"representative":[37],"example":[38],"small":[41,52,124],"data":[42],"which":[43],"was":[44,65],"collected":[45,62],"in":[46,99],"carefully":[47],"prepared":[48],"experiments.Due":[49],"number":[53],"coin":[55,93],"specimens":[56],"count":[59],"observations,":[63],"it":[64],"interesting":[66],"see":[68],"whether":[69],"deep":[70],"methods":[72,112],"can":[73],"achieve":[74],"similarly":[75],"or":[76],"maybe":[77],"even":[78],"better":[79],"classification":[80],"performances":[81],"compared":[82,98],"with":[83,114],"more":[84],"traditional":[85],"methods.The":[86],"results":[87],"multi-class":[90],"prediction":[91],"denominations":[94],"are":[95],"presented":[96],"terms":[100],"balanced":[102],"accuracy":[103],"Matthews":[105],"Correlation":[106],"Coefficient":[107],"metrics.":[108],"The":[109],"feature":[110],"analysis":[111],"combined":[113],"employed":[116],"classifiers":[117],"achieved":[118],"acceptable":[119],"results,":[120],"despite":[121],"relatively":[123],"dataset.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}