{"id":"https://openalex.org/W3169526995","doi":"https://doi.org/10.1155/2021/6637252","title":"Hot\u2010Rolled Steel Strip Surface Inspection Based on Transfer Learning Model","display_name":"Hot\u2010Rolled Steel Strip Surface Inspection Based on Transfer Learning Model","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3169526995","doi":"https://doi.org/10.1155/2021/6637252","mag":"3169526995"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6637252","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6637252","pdf_url":"https://downloads.hindawi.com/journals/js/2021/6637252.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2021/6637252.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021196481","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0003-4537-2898"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Anhui Province Key Laboratory of Special Heavy Load Robot, Maanshan 243032, China","School of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, China"],"raw_orcid":"https://orcid.org/0000-0003-4537-2898","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Special Heavy Load Robot, Maanshan 243032, China","institution_ids":["https://openalex.org/I92178344"]},{"raw_affiliation_string":"School of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082037280","display_name":"Quanquan Lv","orcid":"https://orcid.org/0000-0001-8337-4785"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanquan Lv","raw_affiliation_strings":["School of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, China"],"raw_orcid":"https://orcid.org/0000-0001-8337-4785","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Anhui University of Technology, Maanshan 243032, China","institution_ids":["https://openalex.org/I92178344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021196481"],"corresponding_institution_ids":["https://openalex.org/I92178344"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":2.8685,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91388302,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"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":0.9886999726295471,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/strips","display_name":"STRIPS","score":0.8771544694900513},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8382035493850708},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7617637515068054},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.6064594984054565},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6047974228858948},{"id":"https://openalex.org/keywords/strip-steel","display_name":"Strip steel","score":0.566535472869873},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5412826538085938},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5295326113700867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5179859399795532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4993319511413574},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48073267936706543},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.42830953001976013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4097830355167389},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.4038265347480774},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2910105586051941},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.12580251693725586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09921601414680481}],"concepts":[{"id":"https://openalex.org/C200925200","wikidata":"https://www.wikidata.org/wiki/Q7624170","display_name":"STRIPS","level":2,"score":0.8771544694900513},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8382035493850708},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7617637515068054},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.6064594984054565},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6047974228858948},{"id":"https://openalex.org/C2780242121","wikidata":"https://www.wikidata.org/wiki/Q7624097","display_name":"Strip steel","level":2,"score":0.566535472869873},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5412826538085938},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5295326113700867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5179859399795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4993319511413574},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48073267936706543},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.42830953001976013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4097830355167389},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.4038265347480774},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2910105586051941},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.12580251693725586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09921601414680481},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6637252","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6637252","pdf_url":"https://downloads.hindawi.com/journals/js/2021/6637252.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7364d02435284f55a8cf8b305e629d2c","is_oa":true,"landing_page_url":"https://doaj.org/article/7364d02435284f55a8cf8b305e629d2c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6637252","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6637252","pdf_url":"https://downloads.hindawi.com/journals/js/2021/6637252.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3818199421","display_name":null,"funder_award_id":"51605004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6974289675","display_name":null,"funder_award_id":"1808085QE162","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G7778601908","display_name":null,"funder_award_id":"2108085ME166","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3169526995.pdf","grobid_xml":"https://content.openalex.org/works/W3169526995.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2253006093","https://openalex.org/W2313331974","https://openalex.org/W2381071999","https://openalex.org/W2521587887","https://openalex.org/W2578672494","https://openalex.org/W2912069721","https://openalex.org/W2944303778","https://openalex.org/W2953868242","https://openalex.org/W2956143773","https://openalex.org/W3126324791"],"related_works":["https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3176438653","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3003905048","https://openalex.org/W2468442818","https://openalex.org/W2069681419","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"In":[0,32],"the":[1,7,35,54,64,91,123],"production":[2],"process":[3],"of":[4,9,18,23,38,56,66,100,126],"steel":[5,39,127],"strips,":[6],"detection":[8,20,25,89],"surface":[10,36],"defects":[11,37],"is":[12,51,119],"very":[13],"important.":[14],"However,":[15],"traditional":[16],"methods":[17],"defect":[19,88],"bring":[21],"problems":[22],"low":[24],"accuracy":[26,99],"and":[27,72,102],"dependence":[28],"on":[29,112],"subjective":[30],"judgment.":[31],"this":[33],"study,":[34],"strips":[40],"are":[41],"detected":[42],"by":[43,53],"a":[44,57,109,113],"classic":[45,92],"convolutional":[46,93,115],"neural":[47,94,116],"network":[48,95,117],"method":[49],"that":[50],"improved":[52],"use":[55],"transfer":[58,78],"learning":[59,79],"model.":[60],"This":[61],"model":[62,80,110],"has":[63,104],"advantages":[65],"shorter":[67],"training":[68,101],"time,":[69],"faster":[70],"convergence,":[71],"more":[73],"accurate":[74],"weight":[75],"parameters.":[76],"The":[77],"obtained":[81],"through":[82],"experiments":[83],"secures":[84],"better":[85],"results":[86],"in":[87],"than":[90],"method,":[96],"as":[97],"its":[98],"testing":[103],"reached":[105],"about":[106],"98%.":[107],"Finally,":[108],"based":[111],"full":[114],"(FCN)":[118],"proposed":[120],"for":[121],"segmenting":[122],"defective":[124],"areas":[125],"strips.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
