{"id":"https://openalex.org/W2616619891","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000686","title":"Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection","display_name":"Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection","publication_year":2017,"publication_date":"2017-05-19","ids":{"openalex":"https://openalex.org/W2616619891","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000686","mag":"2616619891"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000686","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000686","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","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/A5033215072","display_name":"Keisuke Maeda","orcid":"https://orcid.org/0000-0001-8039-3462"},"institutions":[{"id":"https://openalex.org/I104234503","display_name":"Hokkaido University of Science","ror":"https://ror.org/05gqsa340","country_code":"JP","type":"education","lineage":["https://openalex.org/I104234503"]},{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"K. Maeda","raw_affiliation_strings":["Master Course Student, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan (corresponding author)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Master Course Student, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan (corresponding author)","institution_ids":["https://openalex.org/I104234503","https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073197671","display_name":"Sho Takahashi","orcid":"https://orcid.org/0000-0002-5338-5990"},"institutions":[{"id":"https://openalex.org/I104234503","display_name":"Hokkaido University of Science","ror":"https://ror.org/05gqsa340","country_code":"JP","type":"education","lineage":["https://openalex.org/I104234503"]},{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Takahashi","raw_affiliation_strings":["Assistant Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan","Assistant Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan. E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan","institution_ids":["https://openalex.org/I104234503","https://openalex.org/I205349734"]},{"raw_affiliation_string":"Assistant Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan. E-mail:","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I104234503","display_name":"Hokkaido University of Science","ror":"https://ror.org/05gqsa340","country_code":"JP","type":"education","lineage":["https://openalex.org/I104234503"]},{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Ogawa","raw_affiliation_strings":["Associate Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan","Associate Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan. E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Associate Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan","institution_ids":["https://openalex.org/I104234503","https://openalex.org/I205349734"]},{"raw_affiliation_string":"Associate Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan. E-mail:","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"M. Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I104234503","display_name":"Hokkaido University of Science","ror":"https://ror.org/05gqsa340","country_code":"JP","type":"education","lineage":["https://openalex.org/I104234503"]},{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Haseyama","raw_affiliation_strings":["Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan","Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan. E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan","institution_ids":["https://openalex.org/I104234503","https://openalex.org/I205349734"]},{"raw_affiliation_string":"Professor, Graduate School of Information Science and Technology, Hokkaido Univ., Sapporo, Hokkaido 060-0808, Japan. E-mail:","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033215072"],"corresponding_institution_ids":["https://openalex.org/I104234503","https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":2.2436,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86136767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"31","issue":"5","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":0.9998999834060669,"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":0.9998999834060669,"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/T11850","display_name":"Concrete Corrosion and Durability","score":0.9846000075340271,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9757000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.64506596326828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6373698711395264},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5713474154472351},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.5704119205474854},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5562148094177246},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.541340172290802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5407107472419739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5075784921646118},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.4742010235786438},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.44961023330688477},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43164151906967163}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.64506596326828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6373698711395264},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5713474154472351},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.5704119205474854},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5562148094177246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.541340172290802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5407107472419739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5075784921646118},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.4742010235786438},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.44961023330688477},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43164151906967163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000686","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000686","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G4515739553","display_name":"Super-MultiModal Human Analysis Platform for Next Generation of Advanced Retrieval","funder_award_id":"17H01744","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W897937383","https://openalex.org/W1573760330","https://openalex.org/W1767574678","https://openalex.org/W1817561967","https://openalex.org/W1850143338","https://openalex.org/W1862829300","https://openalex.org/W1914401667","https://openalex.org/W1941370076","https://openalex.org/W1964461842","https://openalex.org/W1973143425","https://openalex.org/W1976649281","https://openalex.org/W1993569261","https://openalex.org/W1996478295","https://openalex.org/W2010135967","https://openalex.org/W2019575783","https://openalex.org/W2022427525","https://openalex.org/W2022974352","https://openalex.org/W2024320383","https://openalex.org/W2031946226","https://openalex.org/W2033318022","https://openalex.org/W2040895929","https://openalex.org/W2058815839","https://openalex.org/W2059671698","https://openalex.org/W2063668364","https://openalex.org/W2070931317","https://openalex.org/W2082919713","https://openalex.org/W2086087329","https://openalex.org/W2090409217","https://openalex.org/W2090926585","https://openalex.org/W2096487733","https://openalex.org/W2109943925","https://openalex.org/W2109992539","https://openalex.org/W2119821739","https://openalex.org/W2122111042","https://openalex.org/W2124386111","https://openalex.org/W2127657697","https://openalex.org/W2128272608","https://openalex.org/W2133864802","https://openalex.org/W2135730993","https://openalex.org/W2140092692","https://openalex.org/W2143458141","https://openalex.org/W2144801789","https://openalex.org/W2150612552","https://openalex.org/W2154053567","https://openalex.org/W2154096410","https://openalex.org/W2159080219","https://openalex.org/W2166324931","https://openalex.org/W2168175751","https://openalex.org/W2222043370","https://openalex.org/W2262607787","https://openalex.org/W2294455350","https://openalex.org/W2397156362","https://openalex.org/W2594351023","https://openalex.org/W2616619891","https://openalex.org/W2798149936","https://openalex.org/W3014813097","https://openalex.org/W4210890186","https://openalex.org/W4239510810","https://openalex.org/W6680007464"],"related_works":["https://openalex.org/W3128072696","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2945000716","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2413421635","https://openalex.org/W2511198839","https://openalex.org/W1966557338","https://openalex.org/W2366931106"],"abstract_inverted_index":{"This":[0],"paper":[1,25],"presents":[2],"an":[3],"accurate":[4],"distress":[5,83,129,131],"classification":[6,35,53,61,132,146],"method":[7,39,71,88,154],"via":[8],"adaptive":[9,27,138],"Bayesian":[10,31,43,66,75,93,104],"network":[11,32,44,67,76,94,105],"model":[12,45,77,139],"selection":[13,28,140],"for":[14,56,144,162],"maintenance":[15,109,164],"inspection":[16,48,80,117,123,165],"of":[17,23,29,63,101,128],"road":[18],"structures.":[19],"The":[20,37],"main":[21],"contribution":[22],"this":[24,145],"is":[26,142,160],"two":[30,134],"models":[33,95],"concerning":[34],"performance.":[36,54],"proposed":[38,70,87,153],"trains":[40,72],"a":[41],"tag-based":[42,65,103],"based":[46,78],"on":[47,79],"items":[49,81,118,124],"and":[50,82,125,159],"estimates":[51],"its":[52,168],"Furthermore,":[55],"distresses":[57,111],"that":[58,151],"degrade":[59],"the":[60,64,69,86,98,102,137,152],"performance":[62,100],"model,":[68],"another":[73],"multifeature":[74],"images.":[84],"Consequently,":[85],"can":[89],"adaptively":[90],"select":[91],"optimal":[92],"according":[96],"to":[97,167],"estimated":[99],"model.":[106],"In":[107],"actual":[108,163],"inspection,":[110],"are":[112],"generally":[113],"classified":[114],"either":[115],"from":[116,121],"alone":[119],"or":[120],"both":[122],"visual":[126],"information":[127],"images\u2014i.e.,":[130],"has":[133],"patterns.":[135],"Therefore":[136],"approach":[141],"suitable":[143,161],"scheme.":[147],"Experimental":[148],"results":[149],"show":[150],"outperforms":[155],"several":[156],"comparative":[157],"methods":[158],"due":[166],"low":[169],"computation":[170],"costs.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}