{"id":"https://openalex.org/W4391770021","doi":"https://doi.org/10.1109/itsc57777.2023.10422129","title":"An adaptive federated learning framework for intelligent road surface classification","display_name":"An adaptive federated learning framework for intelligent road surface classification","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391770021","doi":"https://doi.org/10.1109/itsc57777.2023.10422129"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","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/A5093918101","display_name":"Ioannis V. Vondikakis","orcid":"https://orcid.org/0009-0005-5451-4183"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis V. Vondikakis","raw_affiliation_strings":["Harokopio University of Athens (HUA),Dept. of Informatics and Telematics,Athens,Greece","Dept. of Informatics and Telematics, Harokopio University of Athens (HUA), Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens (HUA),Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]},{"raw_affiliation_string":"Dept. of Informatics and Telematics, Harokopio University of Athens (HUA), Athens, Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037837384","display_name":"Ilias Panagiotopoulos","orcid":"https://orcid.org/0000-0003-4366-6470"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ilias E. Panagiotopoulos","raw_affiliation_strings":["Harokopio University of Athens (HUA),Dept. of Informatics and Telematics,Athens,Greece","Dept. of Informatics and Telematics, Harokopio University of Athens (HUA), Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens (HUA),Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]},{"raw_affiliation_string":"Dept. of Informatics and Telematics, Harokopio University of Athens (HUA), Athens, Greece","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004201714","display_name":"George Dimitrakopoulos","orcid":"https://orcid.org/0000-0002-7424-8557"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George J. Dimitrakopoulos","raw_affiliation_strings":["Harokopio University of Athens (HUA),Dept. of Informatics and Telematics,Athens,Greece","Dept. of Informatics and Telematics, Harokopio University of Athens (HUA), Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Harokopio University of Athens (HUA),Dept. of Informatics and Telematics,Athens,Greece","institution_ids":["https://openalex.org/I32762134"]},{"raw_affiliation_string":"Dept. of Informatics and Telematics, Harokopio University of Athens (HUA), Athens, Greece","institution_ids":["https://openalex.org/I32762134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093918101"],"corresponding_institution_ids":["https://openalex.org/I32762134"],"apc_list":null,"apc_paid":null,"fwci":0.4068,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63197509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9394000172615051,"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/computer-science","display_name":"Computer science","score":0.7602620124816895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37594518065452576},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3445797860622406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7602620124816895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37594518065452576},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3445797860622406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2473341621","https://openalex.org/W2798987418","https://openalex.org/W2893252072","https://openalex.org/W2907258563","https://openalex.org/W2932399282","https://openalex.org/W2961619538","https://openalex.org/W2962838801","https://openalex.org/W2991580653","https://openalex.org/W3021654819","https://openalex.org/W3090109660","https://openalex.org/W3105842203","https://openalex.org/W3133271137","https://openalex.org/W3133434317","https://openalex.org/W3161976591","https://openalex.org/W3174168901","https://openalex.org/W3206772271","https://openalex.org/W3209696639","https://openalex.org/W4213446430","https://openalex.org/W4225563647","https://openalex.org/W4282049157","https://openalex.org/W4318619660"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"The":[0,12,146],"type":[1,34],"of":[2,14,29,38,53,107,121],"road":[3,16,30,40,54,66,85,98],"surface":[4,17,41,55,67,99],"directly":[5,19],"influences":[6],"the":[7,15,22,27,33,36,39,49,51,90,105,116,129,142,153,160],"way":[8],"vehicles":[9],"are":[10,77],"driven.":[11],"quality":[13,37],"also":[18],"impacts":[20],"on":[21,26,73,159],"comfort":[23],"and":[24,35,45,62,131,152,179],"especially":[25],"safety":[28,61],"users.":[31],"Additionally,":[32],"affect":[42],"fuel":[43,63],"costs":[44],"vehicle":[46],"maintenance.":[47],"Following":[48],"above,":[50],"study":[52],"is":[56,102,136,149,157],"critical":[57],"in":[58,128],"improving":[59],"traffic":[60],"efficiency.":[64],"Existing":[65],"classifications":[68],"systems":[69],"mainly":[70],"process":[71],"data":[72,135],"clouds,":[74],"however,":[75],"they":[76],"not":[78],"able":[79],"to":[80,89],"warn":[81],"drivers":[82],"or/and":[83],"other":[84],"users":[86],"timely":[87],"due":[88],"long":[91],"latency.":[92],"In":[93],"this":[94],"paper,":[95],"an":[96],"intelligent":[97],"classification":[100],"analysis":[101],"proposed":[103,147],"via":[104],"implementation":[106],"a":[108,175,185],"novel":[109],"federated":[110,154],"edge-cloud":[111],"learning-based":[112],"framework.":[113],"That":[114],"minimizes":[115],"risks":[117],"associated":[118],"with":[119,166],"misuse":[120],"sensitive":[122],"user":[123,134],"information.":[124],"This":[125],"fosters":[126],"trust":[127],"system":[130],"ensures":[132],"that":[133,172],"protected":[137],"while":[138,183],"still":[139],"benefiting":[140],"from":[141,163],"collaborative":[143],"learning":[144,155,162],"process.":[145],"framework":[148],"called":[150],"FLRSC":[151,173],"strategy":[156],"based":[158],"model":[161],"different":[164],"edges":[165,191],"limited":[167,193],"datasets.":[168],"Simulation":[169],"results":[170],"demonstrate":[171],"achieves":[174],"high":[176],"detection":[177],"performance":[178],"provides":[180],"fast":[181],"responses":[182],"covering":[184],"wider":[186],"area,":[187],"even":[188],"when":[189],"some":[190],"have":[192],"data.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}