{"id":"https://openalex.org/W4396628240","doi":"https://doi.org/10.1145/3647649.3647675","title":"Image Recognition of Concrete Electromagnetic Flaw Detection Based on Improved YOLOv7","display_name":"Image Recognition of Concrete Electromagnetic Flaw Detection Based on Improved YOLOv7","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4396628240","doi":"https://doi.org/10.1145/3647649.3647675"},"language":"en","primary_location":{"id":"doi:10.1145/3647649.3647675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647649.3647675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Image and Graphics Processing","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/A5100777115","display_name":"Shuai Yuan","orcid":"https://orcid.org/0000-0002-8709-7292"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Yuan","raw_affiliation_strings":["School of Computer Science and Engineering, Shenyang Jianzhu University, China and \rLiaoning Province Big Data Management and Analysis Laboratory of Urban Construction; Shenyang Branch of National Special Computer Engineering Technology Research Center, China","Shenyang Branch of National Special Computer Engineering Technology Research Center, China"],"raw_orcid":"https://orcid.org/0000-0002-8709-7292","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shenyang Jianzhu University, China and \rLiaoning Province Big Data Management and Analysis Laboratory of Urban Construction; Shenyang Branch of National Special Computer Engineering Technology Research Center, China","institution_ids":["https://openalex.org/I83714178"]},{"raw_affiliation_string":"Shenyang Branch of National Special Computer Engineering Technology Research Center, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009061302","display_name":"Ze Yuan","orcid":"https://orcid.org/0009-0002-7493-3666"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Yuan","raw_affiliation_strings":["School of Electrical and Control Engineering, Shenyang Jianzhu University, China"],"raw_orcid":"https://orcid.org/0009-0002-7493-3666","affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Shenyang Jianzhu University, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102927292","display_name":"Kai He","orcid":null},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai He","raw_affiliation_strings":["School of Computer Science and Engineering, Shenyang Jianzhu University, China and \rLiaoning Province Big Data Management and Analysis Laboratory of Urban Construction; Shenyang Branch of National Special Computer Engineering Technology Research Center, China","Shenyang Branch of National Special Computer Engineering Technology Research Center, China"],"raw_orcid":"https://orcid.org/0009-0006-3703-9656","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Shenyang Jianzhu University, China and \rLiaoning Province Big Data Management and Analysis Laboratory of Urban Construction; Shenyang Branch of National Special Computer Engineering Technology Research Center, China","institution_ids":["https://openalex.org/I83714178"]},{"raw_affiliation_string":"Shenyang Branch of National Special Computer Engineering Technology Research Center, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100777115"],"corresponding_institution_ids":["https://openalex.org/I83714178"],"apc_list":null,"apc_paid":null,"fwci":0.2496,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50538417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11609","display_name":"Geophysical Methods and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.6824526190757751},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5726473927497864},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5156377553939819},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.502396821975708},{"id":"https://openalex.org/keywords/nondestructive-testing","display_name":"Nondestructive testing","score":0.5019698143005371},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.48167169094085693},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.47301816940307617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4725225567817688},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4668263792991638},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4337537884712219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4326075613498688},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4192253053188324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3249916732311249},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3147569000720978},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19285908341407776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18229100108146667},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.1187620460987091},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09611707925796509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824526190757751},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5726473927497864},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5156377553939819},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.502396821975708},{"id":"https://openalex.org/C56529433","wikidata":"https://www.wikidata.org/wiki/Q626700","display_name":"Nondestructive testing","level":2,"score":0.5019698143005371},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.48167169094085693},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.47301816940307617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4725225567817688},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4668263792991638},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4337537884712219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4326075613498688},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4192253053188324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3249916732311249},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3147569000720978},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19285908341407776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18229100108146667},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1187620460987091},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09611707925796509},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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:10.1145/3647649.3647675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647649.3647675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2083930895","https://openalex.org/W2265861462","https://openalex.org/W2594171637","https://openalex.org/W2732864418","https://openalex.org/W2810123099","https://openalex.org/W2888803582","https://openalex.org/W2955333808","https://openalex.org/W2963249133","https://openalex.org/W2981609437","https://openalex.org/W3018757597","https://openalex.org/W3117123720","https://openalex.org/W4200634144","https://openalex.org/W4293584584","https://openalex.org/W4311083504","https://openalex.org/W4386076325","https://openalex.org/W4387787587"],"related_works":["https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W4380302312","https://openalex.org/W3008689640","https://openalex.org/W4390971171","https://openalex.org/W4385338604","https://openalex.org/W3081626085","https://openalex.org/W17460865","https://openalex.org/W2372578044"],"abstract_inverted_index":{"Owing":[0],"to":[1,17,92,121,149,154,169],"the":[2,6,40,68,86,94,101,109,113,126,140,143,151,171,174,181,189,204,213,220,225],"invisibility":[3],"characteristics":[4],"of":[5,8,33,64,70,84,103,112,129,173,199,227],"interiors":[7],"concrete":[9,164,228],"structures,":[10],"nondestructive":[11,28],"testing":[12,29],"technologies":[13],"are":[14,48,159],"commonly":[15],"employed":[16],"detect":[18],"internal":[19],"damage.":[20],"Electromagnetic":[21],"flaw":[22,72,165,230],"detection":[23,46,58,73,81,166,231],"technology,":[24],"as":[25],"a":[26,132,162,196],"prominent":[27],"method,":[30],"offers":[31],"capabilities":[32],"strong":[34],"penetration":[35],"and":[36,55,208],"precise":[37],"imaging.":[38],"However,":[39],"output":[41],"images":[42],"produced":[43],"by":[44,108,188],"this":[45,75],"technology":[47],"usually":[49],"reliant":[50],"on":[51,125,161],"subjective":[52],"human":[53],"judgment,":[54],"existing":[56],"automatic":[57],"algorithms":[59,211],"have":[60,122],"limitations":[61],"in":[62,119,201,212],"terms":[63],"accuracy.":[65],"To":[66],"enhance":[67,150],"accuracy":[69,226],"electromagnetic":[71,229],"images,":[74],"paper":[76],"proposes":[77],"improved":[78,190],"YOLOv7":[79,206],"based":[80],"method.":[82],"First":[83],"all,":[85],"ACBlock":[87],"convolution":[88,97],"module":[89],"is":[90,137,147,192],"introduced":[91],"replace":[93],"original":[95],"3\u00d73":[96],"kernel":[98],"for":[99],"alleviating":[100],"loss":[102],"edge":[104],"feature":[105],"information":[106],"caused":[107],"sampling":[110],"operation":[111],"backbone":[114],"network":[115],"MP":[116],"module.":[117],"Next,":[118],"order":[120],"more":[123],"focus":[124],"semantic":[127],"features":[128],"small":[130],"targets,":[131],"global":[133],"attention":[134],"mechanism":[135],"(GAMAttention)":[136],"incorporated":[138],"into":[139],"algorithm.":[141,176],"Then,":[142],"FReLU":[144],"activation":[145],"function":[146],"adopted":[148],"algorithm":[152,191,207,222],"sensitivity":[153],"image":[155,167,232],"space.":[156],"Finally,":[157],"experiments":[158],"conducted":[160],"self-created":[163],"dataset":[168],"illustrate":[170],"efficiency":[172],"proposed":[175,221],"The":[177],"results":[178],"show":[179],"that":[180,219],"mean":[182],"Average":[183],"Precision":[184],"(mAP)":[185],"value":[186],"achieved":[187],"95.85%.":[193],"which":[194],"has":[195],"significant":[197],"improvement":[198],"13.89%":[200],"comparison":[202],"with":[203],"pre-improved":[205],"surpasses":[209],"other":[210],"same":[214],"domain.":[215],"These":[216],"findings":[217],"represent":[218],"effectively":[223],"enhances":[224],"detection.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}