{"id":"https://openalex.org/W7130377583","doi":"https://doi.org/10.1109/tencon66050.2025.11375011","title":"ADASYN Driven Framework for Pothole Detection Using XGBoost","display_name":"ADASYN Driven Framework for Pothole Detection Using XGBoost","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7130377583","doi":"https://doi.org/10.1109/tencon66050.2025.11375011"},"language":null,"primary_location":{"id":"doi:10.1109/tencon66050.2025.11375011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5126349402","display_name":"Tarun Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I933318745","display_name":"Dehradun Institute of Technology University","ror":"https://ror.org/01v5k4d73","country_code":"IN","type":"education","lineage":["https://openalex.org/I933318745"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tarun Kumar","raw_affiliation_strings":["School of Computing, DIT University,Dehradun,Uttarakhand,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, DIT University,Dehradun,Uttarakhand,India","institution_ids":["https://openalex.org/I933318745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041212273","display_name":"Divya Lohani","orcid":"https://orcid.org/0000-0003-2570-7099"},"institutions":[{"id":"https://openalex.org/I933318745","display_name":"Dehradun Institute of Technology University","ror":"https://ror.org/01v5k4d73","country_code":"IN","type":"education","lineage":["https://openalex.org/I933318745"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Divya Lohani","raw_affiliation_strings":["School of Computing, DIT University,Dehradun,Uttarakhand,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, DIT University,Dehradun,Uttarakhand,India","institution_ids":["https://openalex.org/I933318745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082449762","display_name":"Debopam Acharya","orcid":"https://orcid.org/0000-0001-7618-1803"},"institutions":[{"id":"https://openalex.org/I933318745","display_name":"Dehradun Institute of Technology University","ror":"https://ror.org/01v5k4d73","country_code":"IN","type":"education","lineage":["https://openalex.org/I933318745"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debopam Acharya","raw_affiliation_strings":["School of Computing, DIT University,Dehradun,Uttarakhand,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, DIT University,Dehradun,Uttarakhand,India","institution_ids":["https://openalex.org/I933318745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I933318745"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86505492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"733","last_page":"737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9478999972343445,"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":0.9478999972343445,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.01209999993443489,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.005400000140070915,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pothole","display_name":"Pothole (geology)","score":0.9602000117301941},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5573999881744385},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.5468000173568726},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.4684000015258789},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.415800005197525},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4047999978065491},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.3962000012397766}],"concepts":[{"id":"https://openalex.org/C2776023743","wikidata":"https://www.wikidata.org/wiki/Q7234907","display_name":"Pothole (geology)","level":2,"score":0.9602000117301941},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5573999881744385},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.5468000173568726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4812999963760376},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.4684000015258789},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.415800005197525},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.3962000012397766},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3319000005722046},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2687999904155731},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon66050.2025.11375011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon66050.2025.11375011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2025 - 2025 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5842211842536926,"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":16,"referenced_works":["https://openalex.org/W2319723524","https://openalex.org/W2941608808","https://openalex.org/W3000602481","https://openalex.org/W3108936547","https://openalex.org/W3131719191","https://openalex.org/W3177403466","https://openalex.org/W3195988957","https://openalex.org/W4205569757","https://openalex.org/W4365514756","https://openalex.org/W4387163160","https://openalex.org/W4387768181","https://openalex.org/W4388762577","https://openalex.org/W4400509184","https://openalex.org/W4401453599","https://openalex.org/W4401888009","https://openalex.org/W4402673646"],"related_works":[],"abstract_inverted_index":{"Pothole":[0],"detection":[1,51],"is":[2,27,100,115],"critical":[3],"for":[4,29,49,74,120],"enhancing":[5],"road":[6,24,33,78],"safety":[7],"and":[8,15,32,71,118,144,146,151,156],"enabling":[9],"proactive":[10],"maintenance,":[11],"particularly":[12,139],"in":[13,123],"developing":[14],"densely":[16],"populated":[17],"regions.":[18],"Determining":[19],"the":[20,23,53,75,84,87,92,103,132],"state":[21],"of":[22,77,94,110],"surface":[25],"accurately":[26],"crucial":[28],"preventing":[30],"accidents":[31],"infrastructure":[34],"health":[35],"monitoring.":[36],"To":[37,80],"address":[38],"this":[39],"issue,":[40],"we":[41],"propose":[42],"an":[43],"Adaptive":[44],"Synthetic":[45],"Sampling":[46],"(ADASYN)-driven":[47],"framework":[48],"pothole":[50,95],"using":[52,102],"Extreme":[54],"Gradient":[55],"Boosting":[56],"(XGBoost)":[57],"technique.":[58],"This":[59,127],"smartphone-based":[60],"sensing":[61],"system":[62,85],"leverages":[63],"Inertial":[64],"Measurement":[65],"Unit":[66],"(IMU)":[67],"data,":[68],"comprising":[69],"accelerometer":[70],"gyroscope":[72],"readings,":[73],"classification":[76,108],"surfaces.":[79],"mitigate":[81],"class":[82],"imbalance,":[83],"incorporates":[86],"ADASYN":[88],"technique,":[89],"which":[90],"improves":[91],"representation":[93],"instances.":[96],"The":[97,112],"augmented":[98],"dataset":[99],"processed":[101],"XGBoost":[104],"algorithm,":[105],"achieving":[106],"a":[107],"accuracy":[109],"98%.":[111],"proposed":[113],"work":[114,128],"cost-effective,":[116],"scalable,":[117],"suitable":[119],"real-time":[121],"deployment":[122],"intelligent":[124],"transportation":[125,159],"systems.":[126],"also":[129],"contributes":[130],"to":[131],"United":[133],"Nations'":[134],"Sustainable":[135],"Development":[136],"Goals":[137],"(SDGs),":[138],"SDG":[140,147],"9":[141],"(Industry,":[142],"Innovation,":[143],"Infrastructure)":[145],"11":[148],"(Sustainable":[149],"Cities":[150],"Communities)":[152],"by":[153],"facilitating":[154],"safer":[155],"more":[157],"efficient":[158],"infrastructure.":[160]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-19T00:00:00"}
