{"id":"https://openalex.org/W7128769653","doi":"https://doi.org/10.1109/iceca66444.2025.11382887","title":"Auto-Genie: Unified AI for Automotive Cost Intelligence and Decision Support","display_name":"Auto-Genie: Unified AI for Automotive Cost Intelligence and Decision Support","publication_year":2025,"publication_date":"2025-11-05","ids":{"openalex":"https://openalex.org/W7128769653","doi":"https://doi.org/10.1109/iceca66444.2025.11382887"},"language":"en","primary_location":{"id":"doi:10.1109/iceca66444.2025.11382887","doi":"https://doi.org/10.1109/iceca66444.2025.11382887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceca66444.2025.11382887","pdf_url":null,"source":{"id":"https://openalex.org/S4363607835","display_name":"International Conference on Electronics, Communication and Aerospace Technology (ICECA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5121598400","display_name":"G. Jeevana Manikanta","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405268323","display_name":"Narasaraopeta Engineering College","ror":"https://ror.org/00k75sk68","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405268323"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Jeevana Manikanta","raw_affiliation_strings":["Narasaraopeta Engineering College,Department of CSE(DS),Narasaraopeta,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Narasaraopeta Engineering College,Department of CSE(DS),Narasaraopeta,India","institution_ids":["https://openalex.org/I4405268323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125916378","display_name":"K. Dinesh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405268323","display_name":"Narasaraopeta Engineering College","ror":"https://ror.org/00k75sk68","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405268323"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Dinesh","raw_affiliation_strings":["Narasaraopeta Engineering College,Department of CSE(DS),Narasaraopeta,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Narasaraopeta Engineering College,Department of CSE(DS),Narasaraopeta,India","institution_ids":["https://openalex.org/I4405268323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125891514","display_name":"G. Bala Koteswararao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405268323","display_name":"Narasaraopeta Engineering College","ror":"https://ror.org/00k75sk68","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405268323"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Bala Koteswararao","raw_affiliation_strings":["Narasaraopeta Engineering College,Department of CSE(DS),Narasaraopeta,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Narasaraopeta Engineering College,Department of CSE(DS),Narasaraopeta,India","institution_ids":["https://openalex.org/I4405268323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125936769","display_name":"M. V. Yaswanth","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405268323","display_name":"Narasaraopeta Engineering College","ror":"https://ror.org/00k75sk68","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405268323"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. V. Yaswanth","raw_affiliation_strings":["Narasaraopeta Engineering College,Department of CSE(DS),Narasaraopeta,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Narasaraopeta Engineering College,Department of CSE(DS),Narasaraopeta,India","institution_ids":["https://openalex.org/I4405268323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107743742","display_name":"Yannam Bharath Bhushan","orcid":"https://orcid.org/0009-0005-6112-1310","observed_orcids":["https://orcid.org/0009-0005-6112-1310"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yannam Bharath Bhushan","raw_affiliation_strings":["GRIET,Department of AIML,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GRIET,Department of AIML,Hyderabad,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120445622","display_name":"Nerella Harini","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nerella Harini","raw_affiliation_strings":["GNITS,Department of ECE,Hyderabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GNITS,Department of ECE,Hyderabad,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1545","last_page":"1551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.19130000472068787,"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":0.19130000472068787,"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/T13858","display_name":"Technical Engine Diagnostics and Monitoring","score":0.1356000006198883,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T13904","display_name":"Artificial Intelligence Applications","score":0.06499999761581421,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/total-cost-of-ownership","display_name":"total cost of ownership","score":0.925000011920929},{"id":"https://openalex.org/keywords/vehicle-comparison","display_name":"vehicle comparison","score":0.7919999957084656},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.5799999833106995},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"survival analysis","score":0.7400000095367432},{"id":"https://openalex.org/keywords/remaining-useful-life","display_name":"remaining useful life","score":0.9459999799728394},{"id":"https://openalex.org/keywords/odometer","display_name":"odometer","score":0.35499998927116394},{"id":"https://openalex.org/keywords/vehicle-depreciation","display_name":"vehicle depreciation","score":0.5649999976158142},{"id":"https://openalex.org/keywords/service-planning","display_name":"service planning","score":0.8199999928474426},{"id":"https://openalex.org/keywords/purchase-decision-support","display_name":"purchase decision support","score":0.6949999928474426},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.7210000157356262}],"concepts":[{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.6277999877929688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5516999959945679},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5169000029563904},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3871000111103058},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C93983250","wikidata":"https://www.wikidata.org/wiki/Q795053","display_name":"Cost estimate","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33880001306533813},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30550000071525574},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C162022261","wikidata":"https://www.wikidata.org/wiki/Q6666827","display_name":"Logbook","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C2778434605","wikidata":"https://www.wikidata.org/wiki/Q2445479","display_name":"Total cost of ownership","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceca66444.2025.11382887","doi":"https://doi.org/10.1109/iceca66444.2025.11382887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceca66444.2025.11382887","pdf_url":null,"source":{"id":"https://openalex.org/S4363607835","display_name":"International Conference on Electronics, Communication and Aerospace Technology (ICECA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.8970999717712402,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1958236864","https://openalex.org/W2607045400","https://openalex.org/W2753919178","https://openalex.org/W2765363557","https://openalex.org/W2963150697","https://openalex.org/W2964010366","https://openalex.org/W3136337893","https://openalex.org/W3147894994","https://openalex.org/W3198299128","https://openalex.org/W4295024922","https://openalex.org/W4313472373","https://openalex.org/W4323349313","https://openalex.org/W4360584477","https://openalex.org/W4390546156","https://openalex.org/W4399915032","https://openalex.org/W4400408679","https://openalex.org/W4403588039","https://openalex.org/W4403835529","https://openalex.org/W4411121480"],"related_works":["https://openalex.org/W4416263533","https://openalex.org/W7147137011","https://openalex.org/W4416010970","https://openalex.org/W7214603000","https://openalex.org/W7222764086","https://openalex.org/W4417508887","https://openalex.org/W7217096430","https://openalex.org/W4390718541","https://openalex.org/W2932367052","https://openalex.org/W4415358875"],"abstract_inverted_index":{"We":[0,62,131],"present":[1],"AutoGenie,":[2],"a":[3,46,51,76,104,133,157],"multi-purpose":[4],"AI":[5],"automotive":[6],"cost":[7,20,32,74],"solution,":[8],"which":[9],"combined":[10],"(i)":[11],"gives":[12],"parts-sensitive":[13],"visual":[14],"repair-cost":[15],"prediction":[16,24,112],"(ii)":[17],"predictive":[18],"maintenance":[19,73],"forecasting,":[21],"(iii)":[22],"tire-life":[23],"and":[25,50,58,84,92,118,142,150,152,172,176,184,194],"(iv)":[26],"vehicle":[27,122],"comparison,":[28],"based":[29],"on":[30,167],"total":[31],"of":[33,48,78,137,169,179],"ownership":[34],"(TCO).":[35],"AutoGenie":[36,164],"solves":[37],"instance-level":[38],"damage":[39],"detection/segmentation":[40],"in":[41,68],"collision/impact":[42],"cases":[43],"jointly":[44],"with":[45,103,113,128],"taxonomy":[47],"parts":[49,171],"part-specific":[52],"material/labor":[53],"regressor,":[54],"best-store":[55],"shop":[56],"rates,":[57],"confidence":[59,182],"interval":[60],"reports.":[61],"apply":[63],"time-series":[64],"regression":[65],"involving":[66],"uncertainty":[67],"order":[69],"to":[70,98,155],"predict":[71,99],"the":[72,100,177],"as":[75],"predictor":[77],"odometer,":[79],"its":[80],"usage":[81],"patterns,":[82],"climate":[83],"service":[85,192],"history.":[86],"The":[87],"mileage,":[88],"load,":[89],"rotation/balance":[90],"history":[91],"road":[93],"class":[94],"predictors":[95],"are":[96],"used":[97],"tire":[101,143],"longevity":[102],"survival/remaining-useful-life":[105],"head.":[106],"A":[107],"TCO":[108],"module":[109],"integrates":[110],"repair/maintenance":[111],"fuel/energy":[114],"utilisation,":[115],"depreciation,":[116],"insurance":[117],"taxes":[119],"enabling":[120],"cross":[121],"comparisons":[123],"(i.e.":[124],"ICE":[125],"vs.":[126],"EV)":[127],"user-defined":[129],"assumptions.":[130],"report":[132,146],"repeatable":[134],"evaluation":[135],"process":[136],"image-inventory":[138],"associations,":[139],"logbook":[140],"history,":[141],"wear":[144],"history;":[145],"statistics":[147],"about":[148],"accuracy":[149],"calibration;":[151],"qualitative/error":[153],"analysis":[154],"be":[156],"decision":[158],"support":[159],"(auto-approve":[160],"or":[161],"manual":[162],"processing).":[163],"is":[165,185],"built":[166],"top":[168],"interpretable":[170],"time":[173],"schedules,":[174],"assumptions,":[175],"addition":[178],"statistically":[180],"significant":[181],"limits,":[183],"aimed":[186],"at":[187],"estimating":[188],"end-to-end":[189],"claims":[190],"automation,":[191],"planning,":[193],"purchase":[195],"decisions.":[196]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-02-14T00:00:00"}