{"id":"https://openalex.org/W2914252710","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633254","title":"Research on Defect Detection of Castings Based on Deep Residual Network","display_name":"Research on Defect Detection of Castings Based on Deep Residual Network","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2914252710","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633254","mag":"2914252710"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5031312235","display_name":"Xiangzhe Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangzhe Jiang","raw_affiliation_strings":["College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (WUST), Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (WUST), Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075707588","display_name":"Xiao Feng Wang","orcid":"https://orcid.org/0000-0001-5966-6673"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao feng Wang","raw_affiliation_strings":["College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (WUST), Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (WUST), Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114911121","display_name":"Dongfang Chen","orcid":"https://orcid.org/0009-0003-4687-5937"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongfang Chen","raw_affiliation_strings":["College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (WUST), Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (WUST), Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031312235"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.4927,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74847734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9865999817848206,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.977400004863739,"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/residual","display_name":"Residual","score":0.6957910060882568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4653542637825012},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08975169062614441}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6957910060882568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4653542637825012},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08975169062614441}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2018.8633254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":5,"referenced_works":["https://openalex.org/W2023688337","https://openalex.org/W2055575018","https://openalex.org/W2092797068","https://openalex.org/W2194775991","https://openalex.org/W2390311982"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2560215812","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2949601986","https://openalex.org/W2001405890","https://openalex.org/W2788972299","https://openalex.org/W2382290278","https://openalex.org/W2478288626"],"abstract_inverted_index":{"In":[0],"this":[1,159],"study,":[2],"we":[3],"proposed":[4,99],"a":[5],"method":[6,41,160],"for":[7],"detecting":[8],"the":[9,24,43,49,57,61,67,73,85,102,107,113,116,124,130,135,138,142,146,156,165],"appearance":[10],"defect":[11,37,118],"of":[12,26,35,51,112,127,134,158],"castings":[13],"based":[14],"on":[15,123],"deep":[16,78],"residual":[17,79],"network,":[18],"which":[19],"is":[20,161],"used":[21],"to":[22,65,100],"solve":[23],"problems":[25],"low":[27],"accuracy,":[28],"difficult":[29],"application":[30],"conditions":[31],"and":[32,54,69,88,105,109,132,145],"insufficient":[33],"robustness":[34],"traditional":[36,166],"detection":[38,119],"methods.":[39],"This":[40],"divides":[42],"casting":[44],"into":[45,60],"multiple":[46],"regions,":[47],"preprocesses":[48],"image":[50,59],"each":[52],"region,":[53],"then":[55],"inputs":[56],"processed":[58],"convolutional":[62],"neural":[63],"network":[64,80,86,139],"extract":[66],"features,":[68],"finally":[70],"determines":[71],"whether":[72],"sample":[74],"has":[75],"defects.":[76],"The":[77,94],"ResNet-34":[81],"was":[82,92,98,121,150],"chosen":[83],"as":[84],"model,":[87],"its":[89],"activation":[90],"function":[91,97],"improved.":[93],"ASoftReL":[95],"U":[96],"alleviate":[101],"neuron-death":[103],"problem":[104],"improve":[106],"accuracy":[108,144,157],"fitting":[110],"speed":[111],"network.":[114],"Finally,":[115],"improved":[117],"system":[120],"tested":[122],"data":[125],"set":[126],"castings.":[128],"Through":[129],"comparison":[131],"analysis":[133],"experimental":[136],"results,":[137],"model":[140],"with":[141],"highest":[143],"most":[147],"generalization":[148],"ability":[149],"obtained.":[151],"Experimental":[152],"results":[153],"show":[154],"that":[155],"much":[162],"higher":[163],"than":[164],"method.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
