{"id":"https://openalex.org/W7127935844","doi":"https://doi.org/10.1142/s2424922x26500026","title":"Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally Collected Data Sets","display_name":"Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally Collected Data Sets","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7127935844","doi":"https://doi.org/10.1142/s2424922x26500026"},"language":"en","primary_location":{"id":"doi:10.1142/s2424922x26500026","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2424922x26500026","pdf_url":null,"source":{"id":"https://openalex.org/S4210189353","display_name":"Advances in Data Science and Adaptive Analysis","issn_l":"2424-922X","issn":["2424-922X","2424-9238"],"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":"Advances in Data Science and Adaptive Analysis","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/A5106678329","display_name":"Blessing Agyei Kyem","orcid":null},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Blessing Agyei Kyem","raw_affiliation_strings":["Department of Civil, Construction and Environmental Engineering, North Dakota State University, 1340 Administrative Ave, Fargo, ND 58105, USA"],"raw_orcid":"https://orcid.org/0009-0006-6360-6386","affiliations":[{"raw_affiliation_string":"Department of Civil, Construction and Environmental Engineering, North Dakota State University, 1340 Administrative Ave, Fargo, ND 58105, USA","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106678330","display_name":"Eugene Denteh","orcid":null},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Kofi Okrah Denteh","raw_affiliation_strings":["Department of Civil, Construction and Environmental Engineering, North Dakota State University, 1340 Administrative Ave, Fargo, ND 58105, USA"],"raw_orcid":"https://orcid.org/0009-0001-7597-6732","affiliations":[{"raw_affiliation_string":"Department of Civil, Construction and Environmental Engineering, North Dakota State University, 1340 Administrative Ave, Fargo, ND 58105, USA","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106678331","display_name":"Joshua Kofi Asamoah","orcid":null},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Kofi Asamoah","raw_affiliation_strings":["Department of Civil, Construction and Environmental Engineering, North Dakota State University, 1340 Administrative Ave, Fargo, ND 58105, USA"],"raw_orcid":"https://orcid.org/0009-0002-3258-0479","affiliations":[{"raw_affiliation_string":"Department of Civil, Construction and Environmental Engineering, North Dakota State University, 1340 Administrative Ave, Fargo, ND 58105, USA","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107099436","display_name":"Kenneth Adomako Tutu","orcid":null},"institutions":[{"id":"https://openalex.org/I28046988","display_name":"Kwame Nkrumah University of Science and Technology","ror":"https://ror.org/00cb23x68","country_code":"GH","type":"education","lineage":["https://openalex.org/I28046988"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Kenneth Adomako Tutu","raw_affiliation_strings":["Department of Civil Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana"],"raw_orcid":"https://orcid.org/0000-0002-7455-997X","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana","institution_ids":["https://openalex.org/I28046988"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005333881","display_name":"Armstrong Aboah","orcid":"https://orcid.org/0000-0002-1605-1545"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Armstrong Aboah","raw_affiliation_strings":["Department of Civil, Construction and Environmental Engineering, North Dakota State University, 1340 Administrative Ave, Fargo, ND 58105, USA"],"raw_orcid":"https://orcid.org/0000-0002-1605-1545","affiliations":[{"raw_affiliation_string":"Department of Civil, Construction and Environmental Engineering, North Dakota State University, 1340 Administrative Ave, Fargo, ND 58105, USA","institution_ids":["https://openalex.org/I57328836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5106678329"],"corresponding_institution_ids":["https://openalex.org/I57328836"],"apc_list":null,"apc_paid":null,"fwci":1.6693,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8606087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"17","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9944999814033508,"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":0.9944999814033508,"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":0.0010000000474974513,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.000699999975040555,"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/deep-learning","display_name":"Deep learning","score":0.531000018119812},{"id":"https://openalex.org/keywords/distress","display_name":"Distress","score":0.4961000084877014},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49230000376701355},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4077000021934509},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.38690000772476196},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.3617999851703644}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382999777793884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378999710083008},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.531000018119812},{"id":"https://openalex.org/C139265228","wikidata":"https://www.wikidata.org/wiki/Q5283089","display_name":"Distress","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49230000376701355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45669999718666077},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.3617999851703644},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3093000054359436},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26600000262260437},{"id":"https://openalex.org/C83864248","wikidata":"https://www.wikidata.org/wiki/Q177323","display_name":"Developing country","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s2424922x26500026","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s2424922x26500026","pdf_url":null,"source":{"id":"https://openalex.org/S4210189353","display_name":"Advances in Data Science and Adaptive Analysis","issn_l":"2424-922X","issn":["2424-922X","2424-9238"],"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":"Advances in Data Science and Adaptive Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5132925510406494,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2069223289","https://openalex.org/W2511065100","https://openalex.org/W2589757140","https://openalex.org/W2757455114","https://openalex.org/W2884585870","https://openalex.org/W2909978560","https://openalex.org/W2913580266","https://openalex.org/W2944441395","https://openalex.org/W2963037989","https://openalex.org/W3001456352","https://openalex.org/W3005933934","https://openalex.org/W3009621818","https://openalex.org/W3089816401","https://openalex.org/W3091461723","https://openalex.org/W3093788378","https://openalex.org/W3124942917","https://openalex.org/W3158773791","https://openalex.org/W3164973640","https://openalex.org/W3175064897","https://openalex.org/W3185632505","https://openalex.org/W3215829569","https://openalex.org/W4226095742","https://openalex.org/W4320024077","https://openalex.org/W4323275541","https://openalex.org/W4384927866","https://openalex.org/W4386952391","https://openalex.org/W4394744258","https://openalex.org/W4403770406"],"related_works":[],"abstract_inverted_index":{"Road":[0],"infrastructure":[1,151],"maintenance":[2,144],"in":[3,32,72,95,107],"developing":[4,108,137],"countries":[5],"faces":[6],"unique":[7,102],"challenges":[8,103],"due":[9],"to":[10,58,89,148],"resource":[11],"constraints":[12],"and":[13,26,61,74,81,122,131,146],"diverse":[14],"environmental":[15],"factors.":[16],"This":[17,124],"study":[18],"addresses":[19],"the":[20],"critical":[21],"need":[22],"for":[23,116,136],"efficient,":[24],"accurate,":[25],"locally-relevant":[27],"pavement":[28,64,105,128],"distress":[29,65,118,129],"detection":[30,49,119,130],"methods":[31],"these":[33,98],"regions.":[34],"We":[35],"present":[36],"a":[37,52,113,133],"novel":[38],"deep":[39],"learning":[40],"approach":[41],"combining":[42],"You":[43],"Only":[44],"Look":[45],"Once":[46],"(YOLO)":[47],"object":[48],"models":[50],"with":[51,83],"Convolutional":[53],"Block":[54],"Attention":[55],"Module":[56],"(CBAM)":[57],"simultaneously":[59],"detect":[60],"classify":[62],"multiple":[63],"types.":[66],"The":[67],"model":[68],"demonstrates":[69],"robust":[70],"performance":[71],"detecting":[73],"classifying":[75],"potholes,":[76],"longitudinal":[77],"cracks,":[78,80],"alligator":[79],"raveling,":[82],"confidence":[84],"scores":[85],"ranging":[86],"from":[87,120],"0.46":[88],"0.93.":[90],"While":[91],"some":[92],"misclassifications":[93],"occur":[94],"complex":[96],"scenarios,":[97],"provide":[99],"insights":[100],"into":[101],"of":[104],"assessment":[106],"countries.":[109],"Additionally,":[110],"we":[111],"developed":[112],"web-based":[114],"application":[115],"real-time":[117],"images":[121],"videos.":[123],"research":[125],"advances":[126],"automated":[127],"provides":[132],"tailored":[134],"solution":[135],"countries,":[138],"potentially":[139],"improving":[140],"road":[141],"safety,":[142],"optimizing":[143],"strategies,":[145],"contributing":[147],"sustainable":[149],"transportation":[150],"development.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2026-02-07T00:00:00"}