{"id":"https://openalex.org/W4407373096","doi":"https://doi.org/10.1109/access.2025.3540841","title":"CrackVision: Effective Concrete Crack Detection With Deep Learning and Transfer Learning","display_name":"CrackVision: Effective Concrete Crack Detection With Deep Learning and Transfer Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407373096","doi":"https://doi.org/10.1109/access.2025.3540841"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3540841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3540841","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3540841","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116230552","display_name":"Abdulrahman A. ALKannad","orcid":"https://orcid.org/0009-0008-2049-7196"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Abdulrahman A. Alkannad","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0008-2049-7196","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007234619","display_name":"Ahmad Al Smadi","orcid":"https://orcid.org/0000-0003-3487-8041"},"institutions":[{"id":"https://openalex.org/I153687341","display_name":"Zarqa University","ror":"https://ror.org/01wf1es90","country_code":"JO","type":"education","lineage":["https://openalex.org/I153687341"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ahmad Al Smadi","raw_affiliation_strings":["Department of Data Science and Artificial Intelligence, Zarqa University, Zarqa, Jordan"],"raw_orcid":"https://orcid.org/0000-0003-3487-8041","affiliations":[{"raw_affiliation_string":"Department of Data Science and Artificial Intelligence, Zarqa University, Zarqa, Jordan","institution_ids":["https://openalex.org/I153687341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101551250","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0003-2077-1817"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Yang","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086205276","display_name":"Mutasem K. Alsmadi","orcid":"https://orcid.org/0000-0001-6892-8399"},"institutions":[{"id":"https://openalex.org/I76571253","display_name":"Imam Abdulrahman Bin Faisal University","ror":"https://ror.org/038cy8j79","country_code":"SA","type":"education","lineage":["https://openalex.org/I76571253"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mutasem K. Al-Smadi","raw_affiliation_strings":["Department of Management Information Systems, College of Applied Studies and Community Service, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-6892-8399","affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, College of Applied Studies and Community Service, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia","institution_ids":["https://openalex.org/I76571253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001834490","display_name":"Moeen AL-Makhlafi","orcid":"https://orcid.org/0000-0002-5248-3046"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Moeen Al-Makhlafi","raw_affiliation_strings":["School of Information Engineering, Wuhan College, Wuhan, China","School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Wuhan College, Wuhan, China","institution_ids":["https://openalex.org/I4210100789"]},{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053487344","display_name":"Zhixi Feng","orcid":"https://orcid.org/0000-0002-7372-9180"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixi Feng","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109451460","display_name":"Z.C. Yin","orcid":"https://orcid.org/0000-0002-3612-6372"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlong Yin","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":11.9062,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.9910427,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"29554","last_page":"29576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9998000264167786,"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":0.9998000264167786,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12482","display_name":"Tunneling and Rock Mechanics","score":0.9653000235557556,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7426465153694153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6178229451179504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3689895272254944}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7426465153694153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6178229451179504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3689895272254944}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3540841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3540841","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f656f50fdcb44857a82ec62fa3e4130c","is_oa":true,"landing_page_url":"https://doaj.org/article/f656f50fdcb44857a82ec62fa3e4130c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 29554-29576 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3540841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3540841","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3248312328","display_name":null,"funder_award_id":"61906145","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G5498747354","display_name":null,"funder_award_id":"U22B2018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6986719856","display_name":null,"funder_award_id":"62171357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7306406943","display_name":null,"funder_award_id":"62276205","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1995130521","https://openalex.org/W2099454382","https://openalex.org/W2117539524","https://openalex.org/W2145023731","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2331170195","https://openalex.org/W2531409750","https://openalex.org/W2791057298","https://openalex.org/W2800346298","https://openalex.org/W2804948039","https://openalex.org/W2896330448","https://openalex.org/W2899803215","https://openalex.org/W2922073063","https://openalex.org/W2972006294","https://openalex.org/W3015453134","https://openalex.org/W3021503072","https://openalex.org/W3034806783","https://openalex.org/W3043009511","https://openalex.org/W3125559191","https://openalex.org/W3134183680","https://openalex.org/W3139096236","https://openalex.org/W3167386507","https://openalex.org/W3184425660","https://openalex.org/W3184604911","https://openalex.org/W3205511895","https://openalex.org/W4211130771","https://openalex.org/W4226119498","https://openalex.org/W4283810543","https://openalex.org/W4285104220","https://openalex.org/W4309287536","https://openalex.org/W4312360239","https://openalex.org/W4319719238","https://openalex.org/W4360980300","https://openalex.org/W4366281029","https://openalex.org/W4377691114","https://openalex.org/W4385194766","https://openalex.org/W4385365287","https://openalex.org/W4391601547","https://openalex.org/W4392741075","https://openalex.org/W4393171418","https://openalex.org/W4396953428","https://openalex.org/W4398142681","https://openalex.org/W4399800821","https://openalex.org/W4402365632","https://openalex.org/W4403188953","https://openalex.org/W4403390229","https://openalex.org/W6684191040","https://openalex.org/W6703436662","https://openalex.org/W6886067055"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Crack":[0],"evaluation":[1],"is":[2,97],"critical":[3],"for":[4,23,127],"assessing":[5],"the":[6,20,68,114,118,123,138,147,155,162,165,170,174],"structural":[7],"integrity":[8],"of":[9,45,71,94,125,164,173],"concrete,":[10],"significantly":[11],"impacting":[12],"safety,":[13],"functionality,":[14],"and":[15,61,90,105,130,150],"durability.":[16],"In":[17],"response":[18],"to":[19,41,66,86,112],"growing":[21],"demand":[22],"more":[24],"advanced":[25,34],"crack":[26,47,73,182],"detection":[27],"techniques,":[28],"this":[29],"paper":[30],"presents":[31],"CrackVision,":[32],"an":[33],"framework":[35,50],"that":[36,137],"leverages":[37],"Transfer":[38,178],"Learning":[39,179],"(TL)":[40],"enhance":[42],"traditional":[43],"methods":[44],"concrete":[46,72,181],"detection.":[48,74,183],"The":[49,92,134],"utilizes":[51],"pre-trained":[52],"Convolutional":[53],"Neural":[54],"Networks":[55],"(CNNs),":[56],"such":[57],"as":[58],"ResNet50,":[59],"Xception,":[60],"InceptionV3,":[62],"which":[63],"are":[64],"fine-tuned":[65],"address":[67,113],"unique":[69],"challenges":[70],"Initially":[75],"trained":[76],"on":[77,146,154],"extensive":[78],"datasets,":[79],"these":[80,95],"models":[81,96],"have":[82],"been":[83],"further":[84],"enhanced":[85],"improve":[87],"their":[88],"accuracy":[89],"reliability.":[91],"effectiveness":[93,124,163],"rigorously":[98],"evaluated":[99],"using":[100],"two":[101],"key":[102],"datasets:":[103],"METU":[104,148],"SDNET2018.":[106],"Strategic":[107],"resampling":[108],"techniques":[109],"were":[110],"employed":[111],"data":[115],"imbalance":[116],"in":[117,180],"SDNET2018":[119,157],"dataset,":[120],"thereby":[121],"improving":[122],"CrackVision":[126,166],"both":[128],"binary":[129],"multi-class":[131],"classification":[132],"tasks.":[133],"findings":[135],"reveal":[136],"ResNet50":[139,175],"model":[140,176],"achieves":[141],"remarkable":[142],"accuracy,":[143],"reaching":[144],"99.95%":[145],"dataset":[149],"consistently":[151],"exceeding":[152],"97%":[153],"balanced":[156],"dataset.":[158],"These":[159],"results":[160],"demonstrate":[161],"framework,":[167],"particularly":[168],"emphasizing":[169],"exceptional":[171],"performance":[172],"through":[177]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":13}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
