{"id":"https://openalex.org/W7203831708","doi":"https://doi.org/10.70917/ijcisim-2026-1855","title":"Artificial Intelligence in Marketing Practices: Gait Based Age Estimation using CNNs","display_name":"Artificial Intelligence in Marketing Practices: Gait Based Age Estimation using CNNs","publication_year":2026,"publication_date":"2026-07-27","ids":{"openalex":"https://openalex.org/W7203831708","doi":"https://doi.org/10.70917/ijcisim-2026-1855"},"language":"en","primary_location":{"id":"doi:10.70917/ijcisim-2026-1855","doi":"https://doi.org/10.70917/ijcisim-2026-1855","is_oa":true,"landing_page_url":"https://doi.org/10.70917/ijcisim-2026-1855","pdf_url":"https://cspub-ijcisim.org/index.php/ijcisim/article/download/1855/2996","source":{"id":"https://openalex.org/S5406979607","display_name":"International Journal of Computer Information Systems and Industrial Management Applications","issn_l":"2150-7988","issn":["2150-7988"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-40","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Information Systems and Industrial Management Applications","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cspub-ijcisim.org/index.php/ijcisim/article/download/1855/2996","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005792668","display_name":"Murat Berksan","orcid":"https://orcid.org/0000-0002-1009-312X","observed_orcids":["https://orcid.org/0000-0002-1009-312X"]},"institutions":[{"id":"https://openalex.org/I188740104","display_name":"Ba\u015fkent University","ror":"https://ror.org/02v9bqx10","country_code":"TR","type":"education","lineage":["https://openalex.org/I188740104"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Murat Berksan","raw_affiliation_strings":["Baskent University, Department of Computer Engineering, 06790, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baskent University, Department of Computer Engineering, 06790, Ankara, Turkey","institution_ids":["https://openalex.org/I188740104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046410045","display_name":"Didem \u00d6l\u00e7er","orcid":"https://orcid.org/0000-0001-7736-1021","observed_orcids":["https://orcid.org/0000-0001-7736-1021"]},"institutions":[{"id":"https://openalex.org/I188740104","display_name":"Ba\u015fkent University","ror":"https://ror.org/02v9bqx10","country_code":"TR","type":"education","lineage":["https://openalex.org/I188740104"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Didem \u00d6l\u00e7er","raw_affiliation_strings":["Baskent University, Department of Computer Engineering, 06790, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baskent University, Department of Computer Engineering, 06790, Ankara, Turkey","institution_ids":["https://openalex.org/I188740104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044196969","display_name":"\u00c7a\u011fatay Berke Erda\u015f","orcid":"https://orcid.org/0000-0003-3467-9923","observed_orcids":["https://orcid.org/0000-0003-3467-9923"]},"institutions":[{"id":"https://openalex.org/I188740104","display_name":"Ba\u015fkent University","ror":"https://ror.org/02v9bqx10","country_code":"TR","type":"education","lineage":["https://openalex.org/I188740104"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u00c7a\u011fatay Berke Erda\u015f","raw_affiliation_strings":["Baskent University, Department of Computer Engineering, 06790, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baskent University, Department of Computer Engineering, 06790, Ankara, Turkey","institution_ids":["https://openalex.org/I188740104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023386437","display_name":"Selay Ilgaz S\u00fcmer","orcid":"https://orcid.org/0000-0003-1104-276X","observed_orcids":["https://orcid.org/0000-0003-1104-276X"]},"institutions":[{"id":"https://openalex.org/I188740104","display_name":"Ba\u015fkent University","ror":"https://ror.org/02v9bqx10","country_code":"TR","type":"education","lineage":["https://openalex.org/I188740104"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Selay Ilgaz S\u00fcmer","raw_affiliation_strings":["Baskent University, Department of Business Administration, 06790, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baskent University, Department of Business Administration, 06790, Ankara, Turkey","institution_ids":["https://openalex.org/I188740104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072258005","display_name":"Emre S\u00fcmer","orcid":"https://orcid.org/0000-0001-8502-9184","observed_orcids":["https://orcid.org/0000-0001-8502-9184"]},"institutions":[{"id":"https://openalex.org/I188740104","display_name":"Ba\u015fkent University","ror":"https://ror.org/02v9bqx10","country_code":"TR","type":"education","lineage":["https://openalex.org/I188740104"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Emre S\u00fcmer","raw_affiliation_strings":["Baskent University, Department of Computer Engineering, 06790, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baskent University, Department of Computer Engineering, 06790, Ankara, Turkey","institution_ids":["https://openalex.org/I188740104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I188740104"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51386252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"11s","first_page":"212","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11448","display_name":"Face recognition and analysis","score":0.032099999487400055,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.002099999925121665,"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/gait-energy-image","display_name":"gait energy image","score":0.7979999780654907},{"id":"https://openalex.org/keywords/personalized-marketing","display_name":"personalized marketing","score":0.6990000009536743},{"id":"https://openalex.org/keywords/targeted-advertising","display_name":"targeted advertising","score":0.925000011920929},{"id":"https://openalex.org/keywords/consumer-profiling","display_name":"consumer profiling","score":0.9610000252723694},{"id":"https://openalex.org/keywords/behavioral-biometrics","display_name":"behavioral biometrics","score":0.6890000104904175},{"id":"https://openalex.org/keywords/convolutional-neural-network-architecture","display_name":"convolutional neural network architecture","score":0.7170000076293945},{"id":"https://openalex.org/keywords/real-time-marketing","display_name":"real-time marketing","score":0.5740000009536743}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7549999952316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823999881744385},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6786999702453613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6773999929428101},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5889000296592712},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5539000034332275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5281000137329102},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C44464901","wikidata":"https://www.wikidata.org/wiki/Q6770893","display_name":"Marketing and artificial intelligence","level":3,"score":0.2727999985218048},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.2700999975204468},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.70917/ijcisim-2026-1855","doi":"https://doi.org/10.70917/ijcisim-2026-1855","is_oa":true,"landing_page_url":"https://doi.org/10.70917/ijcisim-2026-1855","pdf_url":"https://cspub-ijcisim.org/index.php/ijcisim/article/download/1855/2996","source":{"id":"https://openalex.org/S5406979607","display_name":"International Journal of Computer Information Systems and Industrial Management Applications","issn_l":"2150-7988","issn":["2150-7988"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-40","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Information Systems and Industrial Management Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.70917/ijcisim-2026-1855","doi":"https://doi.org/10.70917/ijcisim-2026-1855","is_oa":true,"landing_page_url":"https://doi.org/10.70917/ijcisim-2026-1855","pdf_url":"https://cspub-ijcisim.org/index.php/ijcisim/article/download/1855/2996","source":{"id":"https://openalex.org/S5406979607","display_name":"International Journal of Computer Information Systems and Industrial Management Applications","issn_l":"2150-7988","issn":["2150-7988"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","poland-40","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Information Systems and Industrial Management Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7203831708.pdf","grobid_xml":"https://content.openalex.org/works/W7203831708.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3006069760","https://openalex.org/W2950134147","https://openalex.org/W3196372977","https://openalex.org/W6948019200","https://openalex.org/W4396494542","https://openalex.org/W3184216020","https://openalex.org/W2951010902","https://openalex.org/W6938910696","https://openalex.org/W7217388587","https://openalex.org/W4405709218"],"abstract_inverted_index":{"Every":[0],"day,":[1],"new":[2],"developments":[3],"in":[4,11,33,97,142],"technology":[5],"significantly":[6],"influence":[7],"business":[8],"activities,":[9],"especially":[10],"marketing.":[12],"This":[13],"study":[14],"explores":[15],"the":[16,60,98,104,124],"application":[17],"of":[18,85,106,127],"artificial":[19],"intelligence":[20],"to":[21,123],"marketing":[22,43,117],"by":[23],"evaluating":[24],"how":[25,131],"different":[26],"Convolutional":[27],"Neural":[28],"Network":[29],"(CNN)":[30],"architectures":[31,134],"perform":[32],"gait-based":[34,107],"age":[35],"estimation,":[36],"a":[37,80],"key":[38],"biometric":[39,140],"feature":[40],"for":[41,113,121],"personalized":[42],"strategies,":[44],"such":[45],"as":[46],"targeted":[47],"advertising":[48],"and":[49,59,71],"real-time":[50,116],"consumer":[51],"profiling.":[52],"Using":[53],"Gait":[54],"Energy":[55],"Image":[56],"(GEI)":[57],"representations":[58],"OULP-Age":[61],"dataset,":[62],"we":[63],"benchmarked":[64],"models":[65],"including":[66],"EfficientNetB7,":[67],"RegNetY,":[68],"CrossVIT,":[69],"InceptionV3,":[70],"ResNet152.":[72],"Among":[73],"these,":[74],"CrossVIT":[75],"achieved":[76],"superior":[77],"performance":[78],"with":[79],"Mean":[81],"Absolute":[82],"Error":[83],"(MAE)":[84],"2.69":[86],"years,":[87],"outperforming":[88],"all":[89],"previously":[90],"published":[91],"methods,":[92],"which":[93],"typically":[94],"report":[95],"MAEs":[96],"3.7\u20138.4":[99],"range.":[100],"These":[101],"findings":[102],"demonstrate":[103],"potential":[105],"deep":[108],"learning":[109],"approaches":[110],"not":[111],"only":[112],"advancing":[114],"intelligent,":[115],"solutions":[118],"but":[119],"also":[120],"contributing":[122],"broader":[125],"field":[126],"computer":[128],"vision,":[129],"illustrating":[130],"advanced":[132],"neural":[133],"can":[135],"effectively":[136],"address":[137],"complex":[138],"behavioral":[139],"tasks":[141],"real-world":[143],"scenarios.":[144]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-21T00:00:00"}
