{"id":"https://openalex.org/W4401513331","doi":"https://doi.org/10.1007/s00521-024-10179-1","title":"Conditional image-to-image translation generative adversarial network (cGAN) for fabric defect data augmentation","display_name":"Conditional image-to-image translation generative adversarial network (cGAN) for fabric defect data augmentation","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4401513331","doi":"https://doi.org/10.1007/s00521-024-10179-1"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-10179-1","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s00521-024-10179-1","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021497459","display_name":"Swash Sami Mohammed","orcid":null},"institutions":[{"id":"https://openalex.org/I227306068","display_name":"Ondokuz May\u0131s University","ror":"https://ror.org/028k5qw24","country_code":"TR","type":"funder","lineage":["https://openalex.org/I227306068"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Swash Sami Mohammed","raw_affiliation_strings":["Electrical and Electronics Engineering, Ondokuz May\u0131s University, Samsun, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering, Ondokuz May\u0131s University, Samsun, Turkey","institution_ids":["https://openalex.org/I227306068"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040963864","display_name":"H\u00fclya G\u00f6kalp","orcid":"https://orcid.org/0000-0002-3102-2136"},"institutions":[{"id":"https://openalex.org/I227306068","display_name":"Ondokuz May\u0131s University","ror":"https://ror.org/028k5qw24","country_code":"TR","type":"funder","lineage":["https://openalex.org/I227306068"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"H\u00fclya G\u00f6kalp Clarke","raw_affiliation_strings":["Electrical and Electronics Engineering, Ondokuz May\u0131s University, Samsun, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering, Ondokuz May\u0131s University, Samsun, Turkey","institution_ids":["https://openalex.org/I227306068"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":77},"biblio":{"volume":"36","issue":"32","first_page":"20231","last_page":"20244"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9908,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9868,"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/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6858555},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.6726341}],"concepts":[{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.9096074},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.73107},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.72257155},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7218437},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6858555},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.6726341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.63172674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55588543},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.45059973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37444842},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35352847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2708078},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08182284},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.061012566},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-10179-1","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-024-10179-1","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.45,"id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W2921163360","https://openalex.org/W2953989358","https://openalex.org/W2963073614","https://openalex.org/W2963420272","https://openalex.org/W2994817145","https://openalex.org/W3016104076","https://openalex.org/W3100813167","https://openalex.org/W3124539583","https://openalex.org/W3154528308","https://openalex.org/W3156252492","https://openalex.org/W3158047281","https://openalex.org/W3171873561","https://openalex.org/W4229082353","https://openalex.org/W4283786485","https://openalex.org/W4321372981","https://openalex.org/W4323351149","https://openalex.org/W4382050162","https://openalex.org/W4386262629","https://openalex.org/W4386544112","https://openalex.org/W4387307565"],"related_works":["https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W4297411772","https://openalex.org/W4235873501","https://openalex.org/W3156763702","https://openalex.org/W3005996785","https://openalex.org/W2905311601","https://openalex.org/W2897769091","https://openalex.org/W2888032422","https://openalex.org/W2845413374"],"abstract_inverted_index":{"Abstract":[0],"The":[1,21,85,100,138],"availability":[2],"of":[3,23,120,147,186,196],"comprehensive":[4],"datasets":[5,30,57,229],"is":[6],"a":[7,32,74,91,96,129,134,183],"crucial":[8],"challenge":[9],"for":[10,44,80,226],"developing":[11,39],"artificial":[12],"intelligence":[13],"(AI)":[14],"models":[15,43,178],"in":[16,50,217],"various":[17,118,145],"applications":[18,216],"and":[19,25,37,40,46,95,112,133,163,172,207,233],"fields.":[20],"lack":[22],"large":[24],"diverse":[26,171],"public":[27],"fabric":[28,48,81,136,156],"defect":[29,82,131,140,204],"forms":[31],"major":[33],"obstacle":[34],"to":[35,59,116,150,153,181,202,231],"properly":[36],"accurately":[38],"training":[41,168],"AI":[42,177],"detecting":[45],"classifying":[47],"defects":[49,149,187],"real-life":[51],"applications.":[52],"Models":[53],"trained":[54],"on":[55],"limited":[56],"struggle":[58],"identify":[60,182],"underrepresented":[61],"defects,":[62],"reducing":[63],"their":[64,159],"practicality.":[65],"To":[66],"address":[67],"these":[68],"issues,":[69],"this":[70,210],"study":[71],"suggests":[72],"using":[73],"conditional":[75,92,101],"generative":[76],"adversarial":[77],"network":[78],"(cGAN)":[79],"data":[83],"augmentation.":[84],"proposed":[86,211],"image-to-image":[87],"translator":[88],"GAN":[89],"features":[90],"U-Net":[93],"generator":[94,104],"6-layered":[97],"PatchGAN":[98],"discriminator.":[99],"U-Network":[102],"(U-Net)":[103],"can":[105,179,214],"produce":[106],"highly":[107],"realistic":[108,173],"synthetic":[109,174,224],"defective":[110],"samples":[111,123,225],"offers":[113],"the":[114,121,148,154,167,176,194],"ability":[115],"control":[117],"characteristics":[119],"generated":[122],"by":[124],"taking":[125],"two":[126],"input":[127],"images:":[128],"segmented":[130,139],"mask":[132,141],"clean":[135,155],"image.":[137],"provides":[142],"information":[143],"about":[144],"aspects":[146],"be":[151],"added":[152],"sample,":[157],"including":[158],"type,":[160],"shape,":[161],"size,":[162],"location.":[164],"By":[165],"augmenting":[166],"dataset":[169],"with":[170],"samples,":[175],"learn":[180],"broader":[184],"range":[185],"more":[188],"accurately.":[189],"This":[190],"technique":[191],"helps":[192],"overcome":[193],"limitations":[195],"small":[197],"or":[198],"unvaried":[199],"datasets,":[200],"leading":[201],"improved":[203],"detection":[205],"accuracy":[206],"generalizability.":[208],"Moreover,":[209],"augmentation":[212],"method":[213],"find":[215],"other":[218],"challenging":[219],"fields,":[220],"such":[221],"as":[222],"generating":[223],"medical":[227],"imaging":[228],"related":[230],"brain":[232],"lung":[234],"tumors.":[235]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4401513331","counts_by_year":[],"updated_date":"2025-04-22T19:28:09.487286","created_date":"2024-08-13"}