{"id":"https://openalex.org/W4313018127","doi":"https://doi.org/10.1109/iisa56318.2022.9904377","title":"Quantum Machine Learning for Audio Classification with Applications to Healthcare","display_name":"Quantum Machine Learning for Audio Classification with Applications to Healthcare","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4313018127","doi":"https://doi.org/10.1109/iisa56318.2022.9904377"},"language":"en","primary_location":{"id":"doi:10.1109/iisa56318.2022.9904377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa56318.2022.9904377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","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/A5030732076","display_name":"Michael Esposito","orcid":"https://orcid.org/0000-0002-3967-4788"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Esposito","raw_affiliation_strings":["Arizona State University,SOLS, SenSIP Center,Tempe,USA","SOLS, SenSIP Center, Arizona State University, Tempe, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University,SOLS, SenSIP Center,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"SOLS, SenSIP Center, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016043825","display_name":"Glen Uehara","orcid":"https://orcid.org/0000-0002-0186-739X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Glen Uehara","raw_affiliation_strings":["Arizona State University,School of ECEE, SenSIP Center,Tempe,USA","School of ECEE, SenSIP Center, Arizona State University, Tempe, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University,School of ECEE, SenSIP Center,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of ECEE, SenSIP Center, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074371899","display_name":"Andreas Spanias","orcid":"https://orcid.org/0000-0003-0306-9348"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas Spanias","raw_affiliation_strings":["Arizona State University,School of ECEE, SenSIP Center,Tempe,USA","School of ECEE, SenSIP Center, Arizona State University, Tempe, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University,School of ECEE, SenSIP Center,Tempe,USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of ECEE, SenSIP Center, Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030732076"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":4.1872,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.94865517,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9733999967575073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7494399547576904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6573328971862793},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5891276001930237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5219987630844116},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5120542645454407},{"id":"https://openalex.org/keywords/quantum-computer","display_name":"Quantum computer","score":0.4778851270675659},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42975491285324097},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.4208813011646271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4077824354171753},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.3435116112232208},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3312874734401703},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.2818042039871216},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.07411971688270569}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7494399547576904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6573328971862793},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5891276001930237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5219987630844116},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5120542645454407},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.4778851270675659},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42975491285324097},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.4208813011646271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4077824354171753},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.3435116112232208},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3312874734401703},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.2818042039871216},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.07411971688270569},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa56318.2022.9904377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa56318.2022.9904377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)","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":54,"referenced_works":["https://openalex.org/W1963867569","https://openalex.org/W2075537159","https://openalex.org/W2079985975","https://openalex.org/W2101462671","https://openalex.org/W2112048832","https://openalex.org/W2119046658","https://openalex.org/W2141493634","https://openalex.org/W2141739745","https://openalex.org/W2143612262","https://openalex.org/W2148371116","https://openalex.org/W2550492386","https://openalex.org/W2619772334","https://openalex.org/W2641889749","https://openalex.org/W2782586458","https://openalex.org/W2897579646","https://openalex.org/W2985199329","https://openalex.org/W3007469168","https://openalex.org/W3010336053","https://openalex.org/W3015034944","https://openalex.org/W3028563376","https://openalex.org/W3034089691","https://openalex.org/W3088067841","https://openalex.org/W3090584982","https://openalex.org/W3090847442","https://openalex.org/W3103309536","https://openalex.org/W3105837102","https://openalex.org/W3112200823","https://openalex.org/W3198173682","https://openalex.org/W3205373371","https://openalex.org/W3205418336","https://openalex.org/W3205963487","https://openalex.org/W3206976882","https://openalex.org/W3207968197","https://openalex.org/W4205833493","https://openalex.org/W4214879909","https://openalex.org/W4226357557","https://openalex.org/W4285148770","https://openalex.org/W4285231054","https://openalex.org/W4286953483","https://openalex.org/W4287130128","https://openalex.org/W4289606390","https://openalex.org/W4312326738","https://openalex.org/W4313170582","https://openalex.org/W6740195615","https://openalex.org/W6747870088","https://openalex.org/W6755964158","https://openalex.org/W6760851032","https://openalex.org/W6775250783","https://openalex.org/W6783737571","https://openalex.org/W6801955434","https://openalex.org/W6801977284","https://openalex.org/W6810688590","https://openalex.org/W6840289689","https://openalex.org/W6908314209"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2588198209","https://openalex.org/W2804383999"],"abstract_inverted_index":{"Accessible":[0],"rapid":[1],"COVID-19":[2,41,94,127],"testing":[3],"continues":[4],"to":[5],"be":[6],"necessary":[7],"and":[8,55,59,84,108,113,121],"several":[9,52],"studies":[10],"involving":[11],"deep":[12,36],"neural":[13,78,89,123],"network":[14,90,124],"(DNN)":[15],"methods":[16,125],"for":[17,39,80,93,126],"detection":[18,83,129],"have":[19,49],"been":[20],"published.":[21],"As":[22],"part":[23],"of":[24,35,76,101],"a":[25,71],"sponsored":[26],"NSF":[27],"I/UCRC":[28],"project,":[29],"our":[30],"team":[31],"explored":[32],"the":[33,63,74,102],"use":[34,75],"learning":[37],"algorithms":[38,54],"recognizing":[40],"related":[42],"cough":[43,56,95],"audio":[44,57,81,128],"signatures.":[45],"More":[46],"specifically,":[47],"we":[48,69],"worked":[50],"with":[51,62,112],"DNN":[53],"databases":[58],"reported":[60],"results":[61,109,118],"VGG-13":[64],"architecture.":[65],"In":[66],"this":[67],"paper,":[68],"report":[70],"study":[72],"on":[73],"quantum":[77,88,115,122],"networks":[79],"signature":[82],"classification.":[85],"A":[86],"hybrid":[87],"(QNN)":[91],"model":[92],"classification":[96],"is":[97,106],"developed.":[98],"The":[99],"design":[100],"QNN":[103],"simulation":[104],"architecture":[105],"described":[107],"are":[110,130],"given":[111],"without":[114],"noise.":[116],"Comparative":[117],"between":[119],"classical":[120],"also":[131],"presented.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}