{"id":"https://openalex.org/W2784192295","doi":"https://doi.org/10.1109/icsai.2017.8248470","title":"Fiber image classification using convolutional neural networks","display_name":"Fiber image classification using convolutional neural networks","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2784192295","doi":"https://doi.org/10.1109/icsai.2017.8248470","mag":"2784192295"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2017.8248470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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/A5100406834","display_name":"Xinxin Wang","orcid":"https://orcid.org/0000-0002-3573-0279"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinxin Wang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352014","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0003-2167-2490"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Chen","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380157","display_name":"Guohua Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohua Liu","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101412178","display_name":"Yan Wan","orcid":"https://orcid.org/0000-0002-7712-7531"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100406834"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":1.5267,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86188709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1214","last_page":"1218"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T11666","display_name":"Color Science and Applications","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11595","display_name":"Textile materials and evaluations","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8235176801681519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8211418986320496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7952002882957458},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.759708821773529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6951727271080017},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6247608661651611},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6221226453781128},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5908765196800232},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.561122715473175},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5570321679115295},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4581540822982788},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44378167390823364},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4313785433769226},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.424641489982605}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8235176801681519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211418986320496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7952002882957458},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.759708821773529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6951727271080017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6247608661651611},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6221226453781128},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5908765196800232},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.561122715473175},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5570321679115295},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4581540822982788},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44378167390823364},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4313785433769226},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.424641489982605},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2017.8248470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1686810756","https://openalex.org/W2036662644","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2119821739","https://openalex.org/W2147800946","https://openalex.org/W2153635508","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2220707429","https://openalex.org/W2500751094","https://openalex.org/W2608008283","https://openalex.org/W2634948901","https://openalex.org/W2919115771","https://openalex.org/W2962835968","https://openalex.org/W3120421331","https://openalex.org/W4239510810","https://openalex.org/W6637373629","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4283701629","https://openalex.org/W2060518359","https://openalex.org/W4299822940","https://openalex.org/W2279398222","https://openalex.org/W2336974148","https://openalex.org/W4285802257","https://openalex.org/W4220996320","https://openalex.org/W2767651786","https://openalex.org/W785854688","https://openalex.org/W3156786002"],"abstract_inverted_index":{"Fiber":[0],"recognition":[1,44],"is":[2,13,59,95],"one":[3],"of":[4,63,67,69,110],"the":[5,34,76,92,108,117,124,131],"main":[6],"tasks":[7],"in":[8,42,99,137],"textile":[9],"quality":[10],"inspections.":[11],"It":[12],"traditionally":[14],"carried":[15],"out":[16],"manually":[17],"or":[18],"by":[19],"shallow":[20],"classifiers":[21],"with":[22],"feature":[23],"extraction":[24],"as":[25],"a":[26,49],"prerequisite":[27],"step,":[28],"which":[29,94],"can":[30],"be":[31],"inefficient.":[32],"Since":[33],"convolutional":[35],"neural":[36,128],"network":[37,129],"(CNN)":[38],"has":[39],"shown":[40],"superiority":[41],"image":[43],"tasks,":[45],"this":[46],"paper":[47],"proposes":[48],"fiber":[50,73,138],"classification":[51,62],"method":[52,136],"based":[53],"on":[54],"CNN.":[55],"The":[56,113],"CNN":[57],"model":[58],"tailored":[60],"to":[61,80,90,96,106],"7":[64],"different":[65],"kinds":[66],"shapes":[68],"fibers":[70],"using":[71],"grayscale":[72],"images.":[74],"Firstly,":[75],"images":[77],"are":[78,88,104],"collected":[79],"construct":[81],"our":[82,111],"dataset.":[83],"Then,":[84],"data":[85],"augmentation":[86],"techniques":[87],"applied":[89],"enlarge":[91],"dataset,":[93],"reduce":[97],"overfitting":[98],"training.":[100],"At":[101],"last,":[102],"experiments":[103],"conducted":[105],"validate":[107],"efficacy":[109],"model.":[112],"results":[114],"indicate":[115],"that":[116],"proposed":[118],"approach":[119],"achieves":[120],"higher":[121],"accuracy":[122],"than":[123],"single-hidden-layer":[125],"backpropagation":[126],"(BP)":[127],"and":[130],"support":[132],"vector":[133],"machine":[134],"(SVM)":[135],"recognition.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
