{"id":"https://openalex.org/W4385341083","doi":"https://doi.org/10.1142/s021800142351014x","title":"Welding Groove Edge Detection Method Using Lightweight Fusion Model Based on Transfer Learning","display_name":"Welding Groove Edge Detection Method Using Lightweight Fusion Model Based on Transfer Learning","publication_year":2023,"publication_date":"2023-07-28","ids":{"openalex":"https://openalex.org/W4385341083","doi":"https://doi.org/10.1142/s021800142351014x"},"language":"en","primary_location":{"id":"doi:10.1142/s021800142351014x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800142351014x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 Pattern Recognition and Artificial Intelligence","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/A5002248477","display_name":"Bo Guo","orcid":"https://orcid.org/0000-0003-0815-0583"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Guo","raw_affiliation_strings":["Nanchang Key Laboratory of Welding Robot & Intelligent Technology, Nanchang Institute of Technology, Nanchang 330099, P. R. China"],"affiliations":[{"raw_affiliation_string":"Nanchang Key Laboratory of Welding Robot & Intelligent Technology, Nanchang Institute of Technology, Nanchang 330099, P. R. China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070901946","display_name":"Lanxiang Rao","orcid":"https://orcid.org/0009-0005-4583-4193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lanxiang Rao","raw_affiliation_strings":["Jiangxi Science and Technology Infrastructure Platform Center, Nanchang, 330003, P. R. China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Science and Technology Infrastructure Platform Center, Nanchang, 330003, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102798724","display_name":"Xu Li","orcid":"https://orcid.org/0009-0009-9576-2502"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Li","raw_affiliation_strings":["Nanchang Key Laboratory of Welding Robot & Intelligent Technology, Nanchang Institute of Technology, Nanchang 330099, P. R. China"],"affiliations":[{"raw_affiliation_string":"Nanchang Key Laboratory of Welding Robot & Intelligent Technology, Nanchang Institute of Technology, Nanchang 330099, P. R. China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619882","display_name":"Yuwen Li","orcid":"https://orcid.org/0000-0001-9608-7128"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwen Li","raw_affiliation_strings":["Nanchang Key Laboratory of Welding Robot & Intelligent Technology, Nanchang Institute of Technology, Nanchang 330099, P. R. China"],"affiliations":[{"raw_affiliation_string":"Nanchang Key Laboratory of Welding Robot & Intelligent Technology, Nanchang Institute of Technology, Nanchang 330099, P. R. China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069540177","display_name":"Wen Yang","orcid":"https://orcid.org/0000-0002-3263-8768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen Yang","raw_affiliation_strings":["Jianglian Heavy Industry Group Co., Ltd, Nanchang 330096, P. R. China"],"affiliations":[{"raw_affiliation_string":"Jianglian Heavy Industry Group Co., Ltd, Nanchang 330096, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372734","display_name":"Jianmin Li","orcid":"https://orcid.org/0000-0002-2225-5317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianmin Li","raw_affiliation_strings":["Jiangxi Hengda Hi-Tech Co., Ltd, Nanchang 330096, P. R. China"],"affiliations":[{"raw_affiliation_string":"Jiangxi Hengda Hi-Tech Co., Ltd, Nanchang 330096, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5002248477"],"corresponding_institution_ids":["https://openalex.org/I141103825"],"apc_list":null,"apc_paid":null,"fwci":0.1332,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40348961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"37","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":1.0,"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"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226572036743164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6589761972427368},{"id":"https://openalex.org/keywords/welding","display_name":"Welding","score":0.5708948969841003},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5156039595603943},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5039586424827576},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5025956630706787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49530163407325745},{"id":"https://openalex.org/keywords/groove","display_name":"Groove (engineering)","score":0.4800209105014801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.472430557012558},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42332974076271057},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31182846426963806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18748342990875244},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13386434316635132}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226572036743164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589761972427368},{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.5708948969841003},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5156039595603943},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5039586424827576},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5025956630706787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49530163407325745},{"id":"https://openalex.org/C2779472054","wikidata":"https://www.wikidata.org/wiki/Q2377973","display_name":"Groove (engineering)","level":2,"score":0.4800209105014801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.472430557012558},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42332974076271057},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31182846426963806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18748342990875244},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13386434316635132},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021800142351014x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021800142351014x","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"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 Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G7088785251","display_name":null,"funder_award_id":"20224BAB202033","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G8368752296","display_name":null,"funder_award_id":"20192BBE50015","funder_id":"https://openalex.org/F4320327780","funder_display_name":"Key Research and Development Program of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320327780","display_name":"Key Research and Development Program of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1964854134","https://openalex.org/W2037227137","https://openalex.org/W2165698076","https://openalex.org/W2336551412","https://openalex.org/W2562081809","https://openalex.org/W2785243365","https://openalex.org/W2892399261","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2973284432","https://openalex.org/W2982083293","https://openalex.org/W3004669032","https://openalex.org/W3015202429","https://openalex.org/W3040156639","https://openalex.org/W3118804988","https://openalex.org/W3124804470","https://openalex.org/W3131900481","https://openalex.org/W3172759863","https://openalex.org/W3199087193","https://openalex.org/W4220729830","https://openalex.org/W4221137010","https://openalex.org/W4281651306","https://openalex.org/W4283653082","https://openalex.org/W4285505317","https://openalex.org/W4292253918","https://openalex.org/W4296620536","https://openalex.org/W4307852440","https://openalex.org/W4321015019"],"related_works":["https://openalex.org/W2361800790","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W17460865","https://openalex.org/W2372578044"],"abstract_inverted_index":{"Groove":[0],"edge":[1,14,38],"detection":[2,15,133],"is":[3,21,56,139],"the":[4,27,30,37,40,59,84,100,106,110,112,136,144],"prerequisite":[5],"for":[6,35,51],"weld":[7],"seam":[8],"deviation":[9],"identification.":[10],"A":[11],"welding":[12,41,93,97],"groove":[13,89],"method":[16,34],"based":[17],"on":[18],"transfer":[19,52],"learning":[20],"presented":[22],"as":[23,48],"a":[24],"solution":[25],"to":[26,104],"inaccuracy":[28],"of":[29,39,73,109,119,135,146],"conventional":[31],"image":[32],"processing":[33],"extracting":[36],"groove.":[42],"DenseNet":[43],"and":[44,63,77,99,128],"MobileNetV2":[45],"are":[46,115],"used":[47],"feature":[49],"extractors":[50],"learning.":[53],"Dense-Mobile":[54,68],"Net":[55,69],"constructed":[57],"using":[58],"skip":[60],"connections":[61],"structure":[62],"depthwise":[64],"separable":[65],"convolution.":[66],"The":[67,130],"training":[70],"procedure":[71],"consists":[72],"two":[74],"stages:":[75],"pre-training":[76],"model":[78,86,138],"fusion":[79],"fine-tuning.":[80],"Experiments":[81],"demonstrate":[82],"that":[83],"proposed":[85,137],"accurately":[87],"detects":[88],"edges":[90],"in":[91],"MAG":[92],"images.":[94],"Using":[95],"MIG":[96],"images":[98],"Pascal":[101],"VOC2012":[102],"dataset":[103],"evaluate":[105],"generalization":[107],"ability":[108],"model,":[111],"relevant":[113],"indicators":[114],"greater":[116],"than":[117],"those":[118],"Support":[120],"Vector":[121],"Machine":[122],"(SVM),":[123],"Fully":[124],"Convolutional":[125],"Networks":[126],"(FCN),":[127],"UNet.":[129],"average":[131],"single-frame":[132],"time":[134],"0.14":[140],"s,":[141],"which":[142],"meets":[143],"requirements":[145],"industrial":[147],"real-time":[148],"performance.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}