乐胖代购免代理版

{"id":"https://openalex.org/W4312292867","doi":"https://doi.org/10.1109/icce-berlin56473.2022.9937129","title":"Age Group Classifier of Adults and Children with YOLO-based Deep Learning Pre-Processing Scheme for Embedded Platforms","display_name":"Age Group Classifier of Adults and Children with YOLO-based Deep Learning Pre-Processing Scheme for Embedded Platforms","publication_year":2022,"publication_date":"2022-09-02","ids":{"openalex":"https://openalex.org/W4312292867","doi":"https://doi.org/10.1109/icce-berlin56473.2022.9937129"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin56473.2022.9937129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5033741585","display_name":"Jie-Min Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jie-Min Lin","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101063960","display_name":"Wei-Liang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Liang Lin","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003025198","display_name":"Chih\u2010Peng Fan","orcid":"https://orcid.org/0000-0002-0585-975X"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Peng Fan","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I162838928"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.446,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":80},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9919,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9919,"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/T11448","display_name":"Face recognition and analysis","score":0.9653,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9588,"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/classification-scheme","display_name":"Classification scheme","score":0.6630839},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4633309},{"id":"https://openalex.org/keywords/age-groups","display_name":"Age groups","score":0.4281449}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6954409},{"id":"https://openalex.org/C13460635","wikidata":"https://www.wikidata.org/wiki/Q85753676","display_name":"Classification scheme","level":2,"score":0.6630839},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.629095},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.58559716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659871},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4633309},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4570288},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44299933},{"id":"https://openalex.org/C2986834420","wikidata":"https://www.wikidata.org/wiki/Q5932254","display_name":"Age groups","level":2,"score":0.4281449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39635336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32877314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16367376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.089410454},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin56473.2022.9937129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[{"funder":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology","award_id":"109-2218-E-005-008"}],"datasets":[],"versions":[],"referenced_works_count":5,"referenced_works":["https://openalex.org/W2008986648","https://openalex.org/W2591514535","https://openalex.org/W2963037989","https://openalex.org/W3103700576","https://openalex.org/W3176909191"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4294635752","https://openalex.org/W4230611425","https://openalex.org/W3134034502","https://openalex.org/W2795259429","https://openalex.org/W2731899572","https://openalex.org/W2611989081","https://openalex.org/W2148260872","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Based":[0],"on":[1,96],"the":[2,28,35,45,62,70,73],"information":[3],"of":[4,30,48,87],"body":[5,42],"proportion,":[6],"in":[7,66],"this":[8],"study,":[9],"a":[10],"simple":[11],"and":[12,25,41,54,58,78,89],"effective":[13,80],"processing":[14],"scheme":[15],"is":[16,94],"developed":[17],"for":[18,27,39,52,83,100],"two":[19],"age":[20,49,84],"groups":[21],"classification,":[22],"i.e.":[23],"children":[24,53],"adults":[26,55,88],"applications":[29],"smart":[31],"autonomous":[32],"movers.":[33],"By":[34],"YOLO-based":[36],"CNN":[37],"model":[38],"head":[40],"objects":[43],"detections,":[44],"recognition":[46,81],"accuracies":[47],"group":[50,85],"classification":[51,86],"are":[56],"95%":[57],"92.5%":[59],"respectively":[60],"with":[61,69],"image":[63],"datasets":[64],"collected":[65],"publics.":[67],"Compared":[68],"existed":[71],"design,":[72],"proposed":[74,92],"methodology":[75],"performs":[76],"simpler":[77],"more":[79],"capability":[82],"children.":[90],"The":[91],"design":[93],"implemented":[95],"GPU-based":[97],"embedded":[98],"platform":[99],"real-time":[101],"applications.":[102]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4312292867","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2024-12-08T22:27:01.485089","created_date":"2023-01-04"}