{"id":"https://openalex.org/W4406417695","doi":"https://doi.org/10.1109/ic3i61595.2024.10829151","title":"Hybrid Optimization Algorithm for Gender Prediction from Anthropometric Attributes Using Machine Learning","display_name":"Hybrid Optimization Algorithm for Gender Prediction from Anthropometric Attributes Using Machine Learning","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4406417695","doi":"https://doi.org/10.1109/ic3i61595.2024.10829151"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i61595.2024.10829151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10829151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5101516181","display_name":"Tushar Choudhary","orcid":"https://orcid.org/0000-0002-9832-1202"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tushar Choudhary","raw_affiliation_strings":["inFeedo Tech Inc,Gurugram,Haryana,India"],"affiliations":[{"raw_affiliation_string":"inFeedo Tech Inc,Gurugram,Haryana,India","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Kunal Choudhary","orcid":null},"institutions":[{"id":"https://openalex.org/I56287899","display_name":"Maharshi Dayanand Saraswati University","ror":"https://ror.org/0229k3q35","country_code":"IN","type":"education","lineage":["https://openalex.org/I56287899"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kunal Choudhary","raw_affiliation_strings":["Govt. Engineering College,Ajmer,Rajasthan,India"],"affiliations":[{"raw_affiliation_string":"Govt. Engineering College,Ajmer,Rajasthan,India","institution_ids":["https://openalex.org/I56287899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101516181"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2489901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1149","last_page":"1155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.7537000179290771,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.7537000179290771,"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/computer-science","display_name":"Computer science","score":0.7121152877807617},{"id":"https://openalex.org/keywords/anthropometry","display_name":"Anthropometry","score":0.5562729239463806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5457467436790466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5014467239379883},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.48981520533561707},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40649497509002686},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.22492244839668274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1061236560344696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121152877807617},{"id":"https://openalex.org/C61427482","wikidata":"https://www.wikidata.org/wiki/Q6656244","display_name":"Anthropometry","level":2,"score":0.5562729239463806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5457467436790466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014467239379883},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.48981520533561707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40649497509002686},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.22492244839668274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1061236560344696},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i61595.2024.10829151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10829151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2109117024","https://openalex.org/W2900915584","https://openalex.org/W2939124443","https://openalex.org/W2945977109","https://openalex.org/W2971952736","https://openalex.org/W2978379047","https://openalex.org/W3014373113","https://openalex.org/W3015727958","https://openalex.org/W3020040998","https://openalex.org/W3042148159","https://openalex.org/W3109388019","https://openalex.org/W3116916634","https://openalex.org/W3165736611","https://openalex.org/W3185615404","https://openalex.org/W3200337174","https://openalex.org/W4224927634","https://openalex.org/W4281483375","https://openalex.org/W4288643671","https://openalex.org/W4319309576","https://openalex.org/W4323926463","https://openalex.org/W4367834573","https://openalex.org/W4387453983","https://openalex.org/W4392902990","https://openalex.org/W4394961760","https://openalex.org/W6840933192","https://openalex.org/W6851900985","https://openalex.org/W6865426344"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Gender":[0],"determination":[1,73,80],"holds":[2],"a":[3,15,58,85,115,135],"great":[4,59],"significance":[5],"in":[6,57,103],"medical":[7],"and":[8,75,97,130,146],"legal":[9],"analysis.":[10],"The":[11,141],"designated":[12],"authorities":[13],"make":[14],"judgment":[16],"based":[17],"on":[18,38],"the":[19,24,39,43,51,65,71,76,100,104],"analysis":[20],"of":[21,23,27,50,61,67,78,87,106],"some":[22],"anatomical":[25],"structures":[26],"human":[28],"body.":[29],"Anthropologists":[30],"use":[31],"skeletal":[32],"biomarkers":[33],"that":[34,53,119],"are":[35,99,125],"different":[36],"depending":[37],"gender":[40,72,79,108],"to":[41,63],"find":[42],"sex.":[44],"It":[45],"is":[46,139,144],"nearly":[47],"every":[48],"bone":[49],"skeleton":[52],"has":[54,81,149],"been":[55,82,150],"used":[56],"deal":[60],"research":[62],"see":[64],"accuracy":[66,77],"sex":[68],"estimation":[69],"through":[70,84],"method,":[74],"evaluated":[83,142,151],"number":[86],"comparison":[88],"studies":[89],"conducted":[90],"across":[91],"various":[92],"populations.":[93],"Pre-processing,":[94],"deriving":[95],"features,":[96],"classifying":[98],"key":[101],"steps":[102],"process":[105],"predicting":[107],"from":[109],"anthropometric":[110],"features.":[111],"This":[112],"work":[113],"presents":[114],"hybrid":[116],"optimization":[117],"algorithm":[118],"uses":[120],"two":[121],"main":[122],"techniques":[123],"which":[124],"PSO":[126],"(particle":[127],"swarm":[128],"optimization)":[129],"genetic":[131],"algorithms.":[132],"For":[133],"classifying,":[134],"random":[136],"forest":[137],"model":[138,143],"utilized.":[140],"implemented,":[145],"its":[147],"performance":[148],"against":[152],"other":[153],"standard":[154],"approaches":[155],"(e.g.":[156],"Na\u00efve":[157],"bayes,":[158],"KNN,":[159],"Random":[160],"Forest,":[161],"Decision":[162],"Tree).":[163]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
