{"id":"https://openalex.org/W4385582377","doi":"https://doi.org/10.1142/s0219467825500196","title":"Research on Printmaking Image Classification and Creation Based on Convolutional Neural Network","display_name":"Research on Printmaking Image Classification and Creation Based on Convolutional Neural Network","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4385582377","doi":"https://doi.org/10.1142/s0219467825500196"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467825500196","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467825500196","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5025503796","display_name":"Kai Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141223","display_name":"Baise University","ror":"https://ror.org/03f3rne76","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Pan","raw_affiliation_strings":["College of Art and Design, Baise University, Baise 533000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Art and Design, Baise University, Baise 533000, P. R. China","institution_ids":["https://openalex.org/I4210141223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074032784","display_name":"Hongyan Chi","orcid":"https://orcid.org/0000-0001-8413-1830"},"institutions":[{"id":"https://openalex.org/I916048824","display_name":"Hunan First Normal University","ror":"https://ror.org/00s9d1a36","country_code":"CN","type":"education","lineage":["https://openalex.org/I916048824"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyan Chi","raw_affiliation_strings":["Cheng Nan Academy, Hunan First Normal University, Changsha 410000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cheng Nan Academy, Hunan First Normal University, Changsha 410000, P. R. China","institution_ids":["https://openalex.org/I916048824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074032784"],"corresponding_institution_ids":["https://openalex.org/I916048824"],"apc_list":null,"apc_paid":null,"fwci":0.4502,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70504684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"25","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T14254","display_name":"Digital Media and Visual Art","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8454238176345825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7323999404907227},{"id":"https://openalex.org/keywords/printmaking","display_name":"Printmaking","score":0.698294460773468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6594120264053345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5989111661911011},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.506039559841156},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4365045428276062},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4269804060459137},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.42646995186805725},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.4115593433380127},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4106099605560303},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2986515760421753}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8454238176345825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7323999404907227},{"id":"https://openalex.org/C105162683","wikidata":"https://www.wikidata.org/wiki/Q271588","display_name":"Printmaking","level":3,"score":0.698294460773468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6594120264053345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5989111661911011},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.506039559841156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4365045428276062},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4269804060459137},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.42646995186805725},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.4115593433380127},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4106099605560303},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2986515760421753},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467825500196","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467825500196","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4996038601","display_name":null,"funder_award_id":"2020ky19030","funder_id":"https://openalex.org/F4320327522","funder_display_name":"Guangxi University"}],"funders":[{"id":"https://openalex.org/F4320327522","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2883800310","https://openalex.org/W2885565273","https://openalex.org/W2887063112","https://openalex.org/W2942621001","https://openalex.org/W2972534151","https://openalex.org/W2979511271","https://openalex.org/W2995942064","https://openalex.org/W3002014232","https://openalex.org/W3004925702","https://openalex.org/W3047443805","https://openalex.org/W3078357177","https://openalex.org/W3107591966","https://openalex.org/W3123478987","https://openalex.org/W3130742847","https://openalex.org/W3176363435","https://openalex.org/W3184654054","https://openalex.org/W4220730824","https://openalex.org/W4297313036","https://openalex.org/W4307125956"],"related_works":["https://openalex.org/W2806426850","https://openalex.org/W4297795098","https://openalex.org/W2952813363","https://openalex.org/W4378678253","https://openalex.org/W2911497689","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W2972076240","https://openalex.org/W3167930666","https://openalex.org/W3014952856"],"abstract_inverted_index":{"As":[0],"an":[1,158],"important":[2],"form":[3],"of":[4,15,21,49,63,78,109,141,187,190,232,240,247],"expression":[5],"in":[6,60,146,165,183,220,244],"modern":[7],"civilization":[8],"art,":[9],"printmaking":[10,25,71],"has":[11],"a":[12,18,116,215],"rich":[13],"variety":[14],"types":[16,40],"and":[17,112,169,203],"prominent":[19],"sense":[20],"artistic":[22,36],"hierarchy.":[23],"Therefore,":[24],"is":[26,68,86,97,120,128,209,228],"highly":[27],"favored":[28],"around":[29],"the":[30,61,75,79,90,93,105,110,132,139,166,184,193,198,204,221,238,245,250],"world":[31],"due":[32],"to":[33,103,154,172],"its":[34],"unique":[35],"characteristics.":[37],"Classifying":[38],"print":[39,50],"through":[41],"image":[42,64,83,125,149,200,205,234],"feature":[43,144],"elements":[44],"will":[45],"improve":[46],"people\u2019s":[47],"understanding":[48],"creation.":[51],"Convolutional":[52],"neural":[53,82],"networks":[54],"(CNNs)":[55],"have":[56],"good":[57,254],"application":[58],"effects":[59],"field":[62,246],"classification,":[65],"so":[66],"CNN":[67],"used":[69],"for":[70],"analysis.":[72],"Considering":[73],"that":[74,182,231],"classification":[76,84,126,150,201,206,216,224,235],"effect":[77],"traditional":[80],"convolutional":[81,118,124,134,148,160,167,174],"model":[85,111,119,127,195,213],"easily":[87],"affected":[88],"by":[89],"activation":[91,95],"function,":[92],"T-ReLU":[94,117,133],"function":[96],"introduced.":[98],"By":[99],"utilizing":[100],"adjustable":[101],"parameters":[102],"enhance":[104],"soft":[106],"saturation":[107],"characteristics":[108],"avoid":[113],"gradient":[114],"vanishing,":[115],"constructed.":[121],"A":[122],"better":[123],"proposed":[129],"based":[130],"on":[131],"model,":[135],"taking":[136],"into":[137],"account":[138],"issue":[140],"subpar":[142],"multi-level":[143],"fusion":[145],"deep":[147],"models.":[151,236],"Utilize":[152],"normalization":[153],"analyze":[155],"visual":[156,241],"input,":[157],"eleven-layer":[159],"network":[161,175],"with":[162],"residual":[163],"units":[164],"layer,":[168],"cascading":[170],"thinking":[171],"fuse":[173],"defects.":[176],"The":[177,211],"performance":[178,225],"test":[179,186,223],"results":[180],"showed":[181],"data":[185],"different":[188],"styles":[189],"artificial":[191],"prints,":[192,249],"GT-ReLU":[194,212],"can":[196],"obtain":[197],"best":[199],"accuracy,":[202],"accuracy":[207,217],"rate":[208],"0.978.":[210],"maintains":[214],"above":[218],"94.4%":[219],"multi-dataset":[222],"test,":[226],"which":[227],"higher":[229],"than":[230],"other":[233],"For":[237],"use":[239],"processing":[242],"technology":[243],"classifying":[248],"research":[251],"content":[252],"provides":[253],"reference":[255],"value.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
