{"id":"https://openalex.org/W4406266690","doi":"https://doi.org/10.1109/gcce62371.2024.10761028","title":"Intelligent Missing Children Prevention System for High Accuracy with Machine Leing","display_name":"Intelligent Missing Children Prevention System for High Accuracy with Machine Leing","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4406266690","doi":"https://doi.org/10.1109/gcce62371.2024.10761028"},"language":"en","primary_location":{"id":"doi:10.1109/gcce62371.2024.10761028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce62371.2024.10761028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)","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/A5100336621","display_name":"Taewook Kim","orcid":"https://orcid.org/0000-0002-9798-2105"},"institutions":[{"id":"https://openalex.org/I113018520","display_name":"Gyeongguk National University","ror":"https://ror.org/04wd10e19","country_code":"KR","type":"education","lineage":["https://openalex.org/I113018520"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taewook Kim","raw_affiliation_strings":["Andong National University,Computer Engineering,Andong,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Andong National University,Computer Engineering,Andong,Republic of Korea","institution_ids":["https://openalex.org/I113018520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016357384","display_name":"Taehun Yang","orcid":"https://orcid.org/0000-0001-8584-8868"},"institutions":[{"id":"https://openalex.org/I113018520","display_name":"Gyeongguk National University","ror":"https://ror.org/04wd10e19","country_code":"KR","type":"education","lineage":["https://openalex.org/I113018520"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taehun Yang","raw_affiliation_strings":["Andong National University,Computer Engineering,Andong,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Andong National University,Computer Engineering,Andong,Republic of Korea","institution_ids":["https://openalex.org/I113018520"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6047,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79722454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.39660000801086426,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.39660000801086426,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6631900072097778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37973347306251526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6631900072097778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37973347306251526}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce62371.2024.10761028","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce62371.2024.10761028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"As":[0],"the":[1,18,25,62],"number":[2],"of":[3,91],"missing":[4,9,50],"children":[5,10,26,51],"increases":[6],"significantly,":[7],"various":[8,92],"prevention":[11,52],"systems":[12],"have":[13],"been":[14],"proposed.":[15],"To":[16,58],"prevent":[17],"child\u2019s":[19],"missing,":[20],"it":[21],"is":[22,81],"important":[23],"that":[24,78],"should":[27],"be":[28],"monitored":[29],"for":[30],"their":[31],"exact":[32],"location":[33],"in":[34],"real-time.":[35],"However,":[36],"traditional":[37],"proposed":[38,63],"schemes":[39,85],"do":[40],"not":[41],"support":[42,59],"these":[43],"requirements.":[44],"So,":[45],"we":[46],"propose":[47],"an":[48],"intelligent":[49],"system":[53,64],"based":[54],"on":[55],"machine":[56,93],"learning.":[57],"high":[60],"accuracy,":[61],"employs":[65],"2D-CNN":[66],"which":[67],"uses":[68],"image":[69],"data":[70],"converted":[71],"from":[72],"Bluetooth":[73],"signals.":[74],"The":[75],"proof-of-concept":[76],"proves":[77],"our":[79],"scheme":[80],"superior":[82],"to":[83],"other":[84],"through":[86],"comparison":[87],"with":[88],"each":[89],"performance":[90],"learning":[94],"models.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
