{"id":"https://openalex.org/W4385269614","doi":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188314","title":"Quantum Classifiers for Video Quality Delivery","display_name":"Quantum Classifiers for Video Quality Delivery","publication_year":2023,"publication_date":"2023-06-06","ids":{"openalex":"https://openalex.org/W4385269614","doi":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188314"},"language":"en","primary_location":{"id":"doi:10.1109/eucnc/6gsummit58263.2023.10188314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arrow.tudublin.ie/creaart/235","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092545294","display_name":"Tautvydas Lisas","orcid":"https://orcid.org/0000-0003-0730-9257"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Tautvydas Lisas","raw_affiliation_strings":["Technological University Dublin,Grangegorman,Ireland","Technological University Dublin, Grangegorman, Ireland"],"affiliations":[{"raw_affiliation_string":"Technological University Dublin,Grangegorman,Ireland","institution_ids":["https://openalex.org/I4210144925"]},{"raw_affiliation_string":"Technological University Dublin, Grangegorman, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022040369","display_name":"Ruair\u00ed de Fr\u00e9in","orcid":"https://orcid.org/0000-0002-3912-1470"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ruair\u00ed De Fr\u00e9in","raw_affiliation_strings":["Technological University Dublin,Grangegorman,Ireland","Technological University Dublin, Grangegorman, Ireland"],"affiliations":[{"raw_affiliation_string":"Technological University Dublin,Grangegorman,Ireland","institution_ids":["https://openalex.org/I4210144925"]},{"raw_affiliation_string":"Technological University Dublin, Grangegorman, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092545294"],"corresponding_institution_ids":["https://openalex.org/I4210144925"],"apc_list":null,"apc_paid":null,"fwci":1.4314,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85162364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9994999766349792,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9994999766349792,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.994700014591217,"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/T10020","display_name":"Quantum Information and Cryptography","score":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.7081656455993652},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6019896268844604},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5441433787345886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5107395648956299},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4931599497795105},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.46393683552742004},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.4576846659183502},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.44471853971481323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3848462402820587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32725411653518677},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0775890052318573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081656455993652},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6019896268844604},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5441433787345886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5107395648956299},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4931599497795105},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46393683552742004},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.4576846659183502},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.44471853971481323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3848462402820587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32725411653518677},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0775890052318573},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/eucnc/6gsummit58263.2023.10188314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)","raw_type":"proceedings-article"},{"id":"pmh:oai:arrow.tudublin.ie:creaart-1266","is_oa":true,"landing_page_url":"https://arrow.tudublin.ie/creaart/235","pdf_url":null,"source":{"id":"https://openalex.org/S4377196307","display_name":"Arrow - TU Dublin (Technological University Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144925","host_organization_name":"Technological University Dublin","host_organization_lineage":["https://openalex.org/I4210144925"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Articles","raw_type":"conferencepaper"},{"id":"pmh:oai:arrow.tudublin.ie:engscheleart-1403","is_oa":true,"landing_page_url":"https://arrow.tudublin.ie/engscheleart/387","pdf_url":null,"source":{"id":"https://openalex.org/S4377196307","display_name":"Arrow - TU Dublin (Technological University Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144925","host_organization_name":"Technological University Dublin","host_organization_lineage":["https://openalex.org/I4210144925"],"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":"Conference papers","raw_type":"conferencepaper"}],"best_oa_location":{"id":"pmh:oai:arrow.tudublin.ie:creaart-1266","is_oa":true,"landing_page_url":"https://arrow.tudublin.ie/creaart/235","pdf_url":null,"source":{"id":"https://openalex.org/S4377196307","display_name":"Arrow - TU Dublin (Technological University Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144925","host_organization_name":"Technological University Dublin","host_organization_lineage":["https://openalex.org/I4210144925"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Articles","raw_type":"conferencepaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W32507011","https://openalex.org/W1492999010","https://openalex.org/W2792946961","https://openalex.org/W2794444783","https://openalex.org/W2798434869","https://openalex.org/W2803434569","https://openalex.org/W2945680873","https://openalex.org/W2963557522","https://openalex.org/W3022469693","https://openalex.org/W3035405592","https://openalex.org/W3075559820","https://openalex.org/W3101427288","https://openalex.org/W3104396616","https://openalex.org/W3132743969","https://openalex.org/W3173713405","https://openalex.org/W3196514226","https://openalex.org/W3202630144","https://openalex.org/W3207697613","https://openalex.org/W3211718387","https://openalex.org/W3214575801","https://openalex.org/W3216831824","https://openalex.org/W4231127907","https://openalex.org/W4292230976"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2937631562","https://openalex.org/W2336974148","https://openalex.org/W3174451172","https://openalex.org/W2056016498","https://openalex.org/W3195168932"],"abstract_inverted_index":{"Classical":[0,158],"classifiers":[1,161],"such":[2],"as":[3],"the":[4,21,88,91,97,102,111,122,133,140,143,147,164],"Support":[5],"Vector":[6],"Classifier":[7],"(SVC)":[8],"struggle":[9],"to":[10,20],"accurately":[11],"classify":[12],"video":[13,65,159],"Quality":[14],"of":[15,31,41,131,142,152],"Delivery":[16],"(QoD)":[17],"time-series":[18],"due":[19],"challenge":[22],"in":[23,96,149],"constructing":[24],"suitable":[25],"decision":[26,172],"boundaries":[27],"using":[28,77,174],"small":[29],"amounts":[30],"training":[32,144,176],"data.":[33,177],"We":[34,50],"develop":[35],"a":[36,42,52,81,127],"technique":[37],"that":[38,87,120],"takes":[39],"advantage":[40],"quantum-classical":[43],"hybrid":[44,57],"infrastructure":[45],"called":[46],"Quantum-Enhanced":[47],"Codecs":[48],"(QEC).":[49],"evaluate":[51],"(1)":[53],"purely":[54,61],"classical,":[55],"(2)":[56],"kernel,":[58],"and":[59,101,107,113],"(3)":[60],"quantum":[62,153,165],"classifier":[63],"for":[64,110],"QoD":[66,78,160],"congestion":[67,70,99,115],"classification,":[68],"where":[69],"is":[71,124,155],"either":[72],"low,":[73],"medium":[74,112],"or":[75],"high,":[76],"measurements":[79],"from":[80,163],"real":[82],"networking":[83],"test-bed.":[84],"Findings":[85],"show":[86],"SVC":[89,123],"performs":[90,105],"classification":[92,134,150],"task":[93],"4%":[94],"better":[95,109,171],"low":[98,129],"state":[100],"kernel":[103],"method":[104],"6.1%":[106],"10.1%":[108],"high":[114],"states.":[116],"Empirical":[117],"evidence":[118],"suggests":[119],"when":[121],"trained":[125],"on":[126,139],"very":[128],"amount":[130],"data,":[132,145],"accuracy":[135,151],"varies":[136],"significantly":[137,156],"depending":[138],"quality":[141],"however,":[146],"variance":[148],"models":[154],"lower.":[157],"benefit":[162],"data":[166],"embedding":[167],"techniques.":[168],"They":[169],"learn":[170],"regions":[173],"less":[175]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}