{"id":"https://openalex.org/W7119759605","doi":"https://doi.org/10.1007/s12065-025-01130-x","title":"An enhanced approach to road damage classification with deep feature extraction and class-specific clustering","display_name":"An enhanced approach to road damage classification with deep feature extraction and class-specific clustering","publication_year":2026,"publication_date":"2026-01-10","ids":{"openalex":"https://openalex.org/W7119759605","doi":"https://doi.org/10.1007/s12065-025-01130-x"},"language":"en","primary_location":{"id":"doi:10.1007/s12065-025-01130-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12065-025-01130-x","pdf_url":null,"source":{"id":"https://openalex.org/S182392644","display_name":"Evolutionary Intelligence","issn_l":"1864-5909","issn":["1864-5909","1864-5917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolutionary Intelligence","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/A5122566809","display_name":"R. Rakshitha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137436","display_name":"JSS Science and Technology University","ror":"https://ror.org/04mnmkz07","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210137436"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R. Rakshitha","raw_affiliation_strings":["Department of Computer Science and Engineering, JSS Science and Technology University, Mysuru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, JSS Science and Technology University, Mysuru, India","institution_ids":["https://openalex.org/I4210137436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122420476","display_name":"S. Srinath","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137436","display_name":"JSS Science and Technology University","ror":"https://ror.org/04mnmkz07","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210137436"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Srinath","raw_affiliation_strings":["Department of Computer Science and Engineering, JSS Science and Technology University, Mysuru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, JSS Science and Technology University, Mysuru, India","institution_ids":["https://openalex.org/I4210137436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122622161","display_name":"N. Vinay Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Vinay Kumar","raw_affiliation_strings":["Freelance Researcher, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Freelance Researcher, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122617577","display_name":"S. Rashmi","orcid":null},"institutions":[{"id":"https://openalex.org/I2802584695","display_name":"Government of Karnataka","ror":"https://ror.org/00maf9573","country_code":"IN","type":"government","lineage":["https://openalex.org/I2802584695"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Rashmi","raw_affiliation_strings":["Government First Grade College, Nyamati, Government of Karnataka, Davanagere, India"],"affiliations":[{"raw_affiliation_string":"Government First Grade College, Nyamati, Government of Karnataka, Davanagere, India","institution_ids":["https://openalex.org/I2802584695"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122532952","display_name":"B. V. Poornima","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163767","display_name":"Sahyadri Hospital","ror":"https://ror.org/053kxry22","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I4210163767"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. V. Poornima","raw_affiliation_strings":["Department of Computer Science and Engineering, Sahyadri College of Engineering and Management, Mangaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Sahyadri College of Engineering and Management, Mangaluru, India","institution_ids":["https://openalex.org/I4210163767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5122566809"],"corresponding_institution_ids":["https://openalex.org/I4210137436"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":28.585,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97985289,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"19","issue":"1","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":0.954800009727478,"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":0.954800009727478,"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/T10370","display_name":"Traffic and Road Safety","score":0.00839999970048666,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.006800000090152025,"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/discriminative-model","display_name":"Discriminative model","score":0.6226999759674072},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.585099995136261},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5662000179290771},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5654000043869019},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5619999766349792},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5110999941825867},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5098000168800354},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.482699990272522},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47029998898506165},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.46630001068115234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8535000085830688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769000291824341},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6226999759674072},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.585099995136261},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5662000179290771},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5654000043869019},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5619999766349792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5227000117301941},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5110999941825867},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5098000168800354},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.482699990272522},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47029998898506165},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4336000084877014},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4187999963760376},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4156000018119812},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.287200003862381},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12065-025-01130-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12065-025-01130-x","pdf_url":null,"source":{"id":"https://openalex.org/S182392644","display_name":"Evolutionary Intelligence","issn_l":"1864-5909","issn":["1864-5909","1864-5917"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolutionary Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1514415280","https://openalex.org/W1536680647","https://openalex.org/W1544877491","https://openalex.org/W1986614398","https://openalex.org/W1995130521","https://openalex.org/W2056132907","https://openalex.org/W2079054397","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2144185616","https://openalex.org/W2183341477","https://openalex.org/W2253429366","https://openalex.org/W2295598076","https://openalex.org/W2306906305","https://openalex.org/W2516809705","https://openalex.org/W2531409750","https://openalex.org/W2765515612","https://openalex.org/W2770206437","https://openalex.org/W2806229851","https://openalex.org/W2889494142","https://openalex.org/W2913071089","https://openalex.org/W2939399833","https://openalex.org/W2964350391","https://openalex.org/W2969843925","https://openalex.org/W3014686228","https://openalex.org/W3015461837","https://openalex.org/W3022492425","https://openalex.org/W3034059856","https://openalex.org/W3082151369","https://openalex.org/W3091461723","https://openalex.org/W3122269338","https://openalex.org/W3124942917","https://openalex.org/W3137274716","https://openalex.org/W3138516171","https://openalex.org/W3138867123","https://openalex.org/W3138958118","https://openalex.org/W3139360122","https://openalex.org/W3146188393","https://openalex.org/W3154225197","https://openalex.org/W3161660388","https://openalex.org/W3163568349","https://openalex.org/W3190717048","https://openalex.org/W4214890985","https://openalex.org/W4226095742","https://openalex.org/W4236137412","https://openalex.org/W4243794628","https://openalex.org/W4304690374","https://openalex.org/W4306735878","https://openalex.org/W4307959636","https://openalex.org/W4320024050","https://openalex.org/W4380882140","https://openalex.org/W4383502504","https://openalex.org/W4389991960","https://openalex.org/W4394891779","https://openalex.org/W4400098420","https://openalex.org/W4401215101"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-11T23:08:45.486102","created_date":"2026-01-10T00:00:00"}
