{"id":"https://openalex.org/W4388738183","doi":"https://doi.org/10.1145/3606043.3606081","title":"Comparison of Classification Neural Network for Shape Feature in AI-driven Metaverse Application","display_name":"Comparison of Classification Neural Network for Shape Feature in AI-driven Metaverse Application","publication_year":2023,"publication_date":"2023-06-17","ids":{"openalex":"https://openalex.org/W4388738183","doi":"https://doi.org/10.1145/3606043.3606081"},"language":"en","primary_location":{"id":"doi:10.1145/3606043.3606081","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606043.3606081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","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/A5046477803","display_name":"Qimiao Zeng","orcid":"https://orcid.org/0000-0002-2673-8340"},"institutions":[{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]},{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qimiao Zeng","raw_affiliation_strings":["China Telecom Research Institute, China"],"affiliations":[{"raw_affiliation_string":"China Telecom Research Institute, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102879824","display_name":"Zhehao Zhuang","orcid":"https://orcid.org/0009-0009-7393-5011"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhehao Zhuang","raw_affiliation_strings":["South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046477803"],"corresponding_institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14923059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"268","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9904999732971191,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9904999732971191,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9704999923706055,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9440000057220459,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.7376336455345154},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7251261472702026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.622614860534668},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5730249881744385},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5617666244506836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5119853615760803},{"id":"https://openalex.org/keywords/metaverse","display_name":"Metaverse","score":0.47836512327194214},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46604859828948975},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4655751585960388},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37557855248451233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34520918130874634},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32762211561203003},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.2286563515663147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376336455345154},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7251261472702026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.622614860534668},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5730249881744385},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5617666244506836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5119853615760803},{"id":"https://openalex.org/C53332860","wikidata":"https://www.wikidata.org/wiki/Q2632041","display_name":"Metaverse","level":3,"score":0.47836512327194214},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46604859828948975},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4655751585960388},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37557855248451233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34520918130874634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32762211561203003},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.2286563515663147},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606043.3606081","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606043.3606081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6100000143051147,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2782970864","https://openalex.org/W2962714052","https://openalex.org/W2962971773","https://openalex.org/W2992015936","https://openalex.org/W3006926841","https://openalex.org/W3126389933","https://openalex.org/W3188534489","https://openalex.org/W4224330100","https://openalex.org/W4226257147","https://openalex.org/W4226375322","https://openalex.org/W4313404355","https://openalex.org/W4324118113"],"related_works":["https://openalex.org/W2166821106","https://openalex.org/W4312864667","https://openalex.org/W2616814274","https://openalex.org/W4376853950","https://openalex.org/W4366210097","https://openalex.org/W4366734514","https://openalex.org/W4237056396","https://openalex.org/W4388442643","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Image":[0],"classification":[1,18,89,127],"technology":[2],"is":[3,19,34,55],"critical":[4],"to":[5,26,35,39,85,110],"the":[6,30,80,91,118,130,141],"success":[7],"of":[8,58,87,94,133,143],"Metaverse":[9,67,144],"applications.":[10],"The":[11],"key":[12],"challenges":[13],"in":[14,65,79,90],"big":[15],"data":[16],"image":[17,42,52],"finding":[20],"an":[21,41],"efficient":[22],"and":[23,82,137],"automated":[24],"method":[25],"classify":[27],"images.":[28],"Currently,":[29],"most":[31],"popular":[32,76],"approach":[33],"use":[36,101],"neural":[37,46,77,120],"network":[38,47,121],"train":[40],"classifier.":[43],"Although":[44],"various":[45],"models":[48],"are":[49],"available":[50],"for":[51,62,124],"classification,":[53],"there":[54],"a":[56,102],"lack":[57],"model":[59],"selection":[60,122],"methods":[61],"specific":[63],"scenarios":[64],"AI-driven":[66],"application.":[68],"To":[69],"address":[70],"this":[71],"issue,":[72],"we":[73,100,116],"introduced":[74],"three":[75],"networks":[78],"industry":[81],"applies":[83],"them":[84],"problem":[86],"shape":[88],"interdisciplinary":[92],"field":[93],"ceramic":[95,125],"culture":[96],"digitalization":[97],"technology.":[98],"Then,":[99],"two-parameter":[103],"optimization":[104],"training":[105],"scheme":[106,123],"with":[107,140],"multiple":[108,112],"batches":[109],"obtain":[111],"comparable":[113],"results.":[114],"Finally,":[115],"determine":[117],"optimal":[119],"type":[126],"by":[128],"combining":[129],"accuracy,":[131],"number":[132],"parameters,":[134],"reasoning":[135],"time":[136],"other":[138],"factors":[139],"requirements":[142],"scenarios.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}