{"id":"https://openalex.org/W4408862616","doi":"https://doi.org/10.1109/icca62237.2024.10928026","title":"Enhancing Crack Detection in Pavements: Optimizing U-Net Convolutional Neural Network via Optuna","display_name":"Enhancing Crack Detection in Pavements: Optimizing U-Net Convolutional Neural Network via Optuna","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4408862616","doi":"https://doi.org/10.1109/icca62237.2024.10928026"},"language":"en","primary_location":{"id":"doi:10.1109/icca62237.2024.10928026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10928026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","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/A5116806611","display_name":"Nada El Desouky","orcid":null},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Nada El Desouky","raw_affiliation_strings":["The British University in Egypt,Civil Engineering,Cairo,Egypt"],"affiliations":[{"raw_affiliation_string":"The British University in Egypt,Civil Engineering,Cairo,Egypt","institution_ids":["https://openalex.org/I154023281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061745535","display_name":"Ahmed A. Torky","orcid":"https://orcid.org/0000-0002-7906-5055"},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed A. Torky","raw_affiliation_strings":["The British University in Egypt,Civil Engineering,Cairo,Egypt"],"affiliations":[{"raw_affiliation_string":"The British University in Egypt,Civil Engineering,Cairo,Egypt","institution_ids":["https://openalex.org/I154023281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015189575","display_name":"M. Ibrahim","orcid":"https://orcid.org/0009-0003-6721-5778"},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Ibrahim","raw_affiliation_strings":["The British University in Egypt,Civil Engineering,Cairo,Egypt"],"affiliations":[{"raw_affiliation_string":"The British University in Egypt,Civil Engineering,Cairo,Egypt","institution_ids":["https://openalex.org/I154023281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098882406","display_name":"Mohamed Elbheiri","orcid":null},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Elbheiri","raw_affiliation_strings":["Arab Academy for Science, Technology and Maritime,Civil Engineering,Cairo,Egypt"],"affiliations":[{"raw_affiliation_string":"Arab Academy for Science, Technology and Maritime,Civil Engineering,Cairo,Egypt","institution_ids":["https://openalex.org/I59272784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007817149","display_name":"Mohamed S. Eid","orcid":"https://orcid.org/0000-0002-5125-3986"},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed S. Eid","raw_affiliation_strings":["Arab Academy for Science, Technology and Maritime,Civil Engineering,Cairo,Egypt"],"affiliations":[{"raw_affiliation_string":"Arab Academy for Science, Technology and Maritime,Civil Engineering,Cairo,Egypt","institution_ids":["https://openalex.org/I59272784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5116806611"],"corresponding_institution_ids":["https://openalex.org/I154023281"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31778944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"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":0.9991999864578247,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9537000060081482,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.771355390548706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7293692231178284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5060836672782898},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4555070400238037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35769593715667725},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32755905389785767}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.771355390548706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293692231178284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5060836672782898},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4555070400238037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35769593715667725},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32755905389785767}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca62237.2024.10928026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10928026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2407692387","https://openalex.org/W2966746360","https://openalex.org/W2979684046","https://openalex.org/W2982407821","https://openalex.org/W3011200270","https://openalex.org/W3014583121","https://openalex.org/W3016889634","https://openalex.org/W3044580098","https://openalex.org/W3048999821","https://openalex.org/W3111563719","https://openalex.org/W3124451475","https://openalex.org/W3124539583","https://openalex.org/W4220943253","https://openalex.org/W4223509075","https://openalex.org/W4226029964","https://openalex.org/W4281254198","https://openalex.org/W4360602285","https://openalex.org/W4387140653","https://openalex.org/W4387933120","https://openalex.org/W4390557026","https://openalex.org/W6639824700","https://openalex.org/W6697179097","https://openalex.org/W6789348778","https://openalex.org/W6794654150"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"U-Net":[0,34,59,164],"convolutional":[1],"neural":[2],"networks":[3],"have":[4],"proved":[5],"effective":[6],"in":[7,184],"accurate":[8,108],"segmentation.":[9,85],"However,":[10],"there":[11],"is":[12],"a":[13],"need":[14],"for":[15,48,115,188],"an":[16,122],"objective":[17],"optimization":[18,147],"of":[19,79,134,178],"its":[20],"hyperparameters":[21],"(HPs)":[22],"to":[23,32,57,75,152,170],"ensure":[24],"stability":[25],"across":[26],"diverse":[27],"images.":[28],"This":[29],"study":[30,139],"aims":[31],"optimize":[33,58],"HPs":[35],"using":[36,97],"the":[37,41,103,156,176,185],"Optuna":[38,98],"library,":[39],"employing":[40],"non-dominated":[42],"sorting":[43],"genetic":[44],"algorithm":[45],"II":[46],"(NSGA-II)":[47],"optimization.":[49],"A":[50,86],"pavement":[51],"crack":[52,129,192],"detection":[53],"dataset":[54],"was":[55,73,89],"utilized":[56],"HPs,":[60],"enhancing":[61],"segmentation":[62,82],"performance":[63],"and":[64,83,99,131,149,190],"yielding":[65],"significant":[66],"results":[67],"on":[68,91,102,117],"test":[69],"samples.":[70],"Additionally,":[71],"Roboflow":[72,104],"used":[74,140],"train":[76],"two":[77],"types":[78,130],"models:":[80,93],"instance":[81],"semantic":[84],"comparative":[87],"analysis":[88],"conducted":[90],"three":[92],"those":[94,100],"trained":[95,101],"locally":[96],"platform.":[105],"The":[106,162,173],"most":[107],"models":[109,183],"from":[110],"each":[111],"methodology":[112],"were":[113],"tested":[114],"generalizability":[116],"new":[118],"images":[119],"captured":[120],"by":[121],"iPhone":[123],"11":[124],"Pro":[125],"Max,":[126],"showcasing":[127],"various":[128],"orientations.":[132],"Instead":[133],"traditional":[135],"evaluation":[136],"methods,":[137],"this":[138],"visualization":[141],"techniques":[142],"such":[143],"as":[144],"plotting":[145],"contours,":[146],"history,":[148],"parallel":[150],"coordinates":[151],"provide":[153],"insights":[154],"into":[155],"model's":[157],"behavior":[158],"against":[159],"parameter":[160],"changes.":[161],"optimized":[163],"provided":[165],"lower":[166],"validation":[167],"loss":[168],"compared":[169],"existing":[171],"models.":[172],"findings":[174],"reveal":[175],"potential":[177],"computer":[179],"vision":[180],"deep":[181],"learning":[182],"transportation":[186],"industry":[187],"efficient":[189],"automated":[191],"detection.":[193]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}