{"id":"https://openalex.org/W4411098953","doi":"https://doi.org/10.1145/3723178.3723303","title":"Ensemble Deep Learning for Real-Time Textile Fabric Defect Detection and Classification Using YOLOv8 and CNNs","display_name":"Ensemble Deep Learning for Real-Time Textile Fabric Defect Detection and Classification Using YOLOv8 and CNNs","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4411098953","doi":"https://doi.org/10.1145/3723178.3723303"},"language":"en","primary_location":{"id":"doi:10.1145/3723178.3723303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723303","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723303","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Rakibul Islam","orcid":"https://orcid.org/0009-0004-0585-3317"},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Rakibul Islam","raw_affiliation_strings":["United International University, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0004-0585-3317","affiliations":[{"raw_affiliation_string":"United International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I63169043"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sajjad Ullah","orcid":"https://orcid.org/0009-0005-4271-5631"},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sajjad Ullah","raw_affiliation_strings":["United International University, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0005-4271-5631","affiliations":[{"raw_affiliation_string":"United International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I63169043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060816426","display_name":"S. Sazzadur Rahaman","orcid":null},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sadikur Rahaman","raw_affiliation_strings":["united international University, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0005-5081-498X","affiliations":[{"raw_affiliation_string":"united international University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I63169043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117857490","display_name":"Jubair Sheebly","orcid":null},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Jubair Sheebly","raw_affiliation_strings":["United International University, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0008-5204-9718","affiliations":[{"raw_affiliation_string":"United International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I63169043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103839563","display_name":"Shahriar Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shahriar Rahman","raw_affiliation_strings":["united international University, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0004-0129-9507","affiliations":[{"raw_affiliation_string":"united international University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I63169043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113068477","display_name":"Raiyan Rahman","orcid":"https://orcid.org/0009-0007-8492-935X"},"institutions":[{"id":"https://openalex.org/I63169043","display_name":"United International University","ror":"https://ror.org/01tqv1p28","country_code":"BD","type":"education","lineage":["https://openalex.org/I63169043"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Raiyan Rahman","raw_affiliation_strings":["United International University, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0007-8492-935X","affiliations":[{"raw_affiliation_string":"United International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I63169043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63169043"],"apc_list":null,"apc_paid":null,"fwci":0.6499,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75998403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"939","last_page":"945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9764999747276306,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9549999833106995,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6862343549728394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6338598728179932},{"id":"https://openalex.org/keywords/textile","display_name":"Textile","score":0.6013882756233215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.536597490310669},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4876350462436676},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.41734638810157776},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16023138165473938},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.10870465636253357}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6862343549728394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338598728179932},{"id":"https://openalex.org/C164767435","wikidata":"https://www.wikidata.org/wiki/Q28823","display_name":"Textile","level":2,"score":0.6013882756233215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.536597490310669},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4876350462436676},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.41734638810157776},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16023138165473938},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.10870465636253357}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3723178.3723303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723303","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3723178.3723303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723303","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411098953.pdf","grobid_xml":"https://content.openalex.org/works/W4411098953.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2008405640","https://openalex.org/W2034851609","https://openalex.org/W2111915972","https://openalex.org/W2528999066","https://openalex.org/W2970982005","https://openalex.org/W3100813167","https://openalex.org/W3111560876","https://openalex.org/W3162910509","https://openalex.org/W3215514054","https://openalex.org/W4206239776","https://openalex.org/W4292553283","https://openalex.org/W4294867575","https://openalex.org/W4297675428","https://openalex.org/W4313149461"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Fabric":[0],"defects":[1,14],"are":[2],"a":[3,79,117,135],"major":[4],"challenge":[5],"in":[6,67,190],"the":[7,28,35,72,157,164,191],"textile":[8,192],"industry,":[9],"where":[10],"quality":[11,188],"is":[12,51],"essential.These":[13],"can":[15,26],"appear":[16],"at":[17],"different":[18],"stages":[19],"of":[20,74,119,132,159],"production.By":[21],"automating":[22],"defect":[23,41,87,93,114,141,179],"detection,":[24,115],"we":[25],"reduce":[27],"need":[29],"for":[30,64,85,99,113,176,186],"manual":[31,47],"checks,":[32],"speed":[33],"up":[34],"process,":[36],"and":[37,54,82,89,108,134,153,163,181],"improve":[38],"productivity.Existing":[39],"fabric":[40,86,92,178],"detection":[42,88,162,180],"methods":[43,76],"often":[44],"rely":[45],"on":[46,124],"visual":[48],"inspection,":[49],"which":[50],"time-consuming,":[52],"subjective,":[53],"prone":[55],"to":[56],"human":[57],"error.Complex":[58],"algorithms":[59],"may":[60],"not":[61],"be":[62],"suitable":[63],"real-time":[65],"deployment":[66],"resource-constrained":[68],"environments.This":[69],"research":[70],"addresses":[71],"limitations":[73],"existing":[75],"by":[77],"proposing":[78],"deep":[80],"learning":[81],"Ensemble-based":[83],"approach":[84,104,122,166],"classification.A":[90],"custom":[91],"dataset":[94],"was":[95],"constructed":[96],"specifically":[97],"designed":[98],"this":[100],"research.This":[101],"paper's":[102],"proposed":[103],"achieved":[105,127],"promising":[106],"results.YOLOv8m":[107],"YOLOv8n-obb":[109],"variants":[110],"were":[111],"fine-tuned":[112],"achieving":[116],"mAP@50":[118],"0.89.The":[120],"ensemble":[121,165],"based":[123],"Weighted":[125],"voting":[126],"an":[128],"overall":[129],"classification":[130],"accuracy":[131],"90%":[133],"balanced":[136],"F1":[137],"score":[138],"across":[139],"six":[140],"classes:":[142],"Broken-button":[143],"(95%),":[144],"Button-hike":[145],"(93%),":[146],"Color-defect":[147],"(86%),":[148],"Foreign-yarn":[149],"(90%),":[150],"Hole":[151],"(84%),":[152],"Sewingerror":[154],"(88%).This":[155],"demonstrates":[156],"effectiveness":[158],"lightweight":[160],"object":[161],"using":[167],"five":[168],"CNN":[169],"models":[170],"(VGG16,":[171],"ResNet50,":[172],"MobileNet,":[173],"InceptionV3,":[174],"Xception)":[175],"robust":[177],"classification,":[182],"highlighting":[183],"its":[184],"potential":[185],"automated":[187],"control":[189],"industry.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}