{"id":"https://openalex.org/W4403937406","doi":"https://doi.org/10.1109/iscc61673.2024.10733717","title":"A NWDAF Study Employing Machine Learning Models on a Simulated 5G Network Dataset","display_name":"A NWDAF Study Employing Machine Learning Models on a Simulated 5G Network Dataset","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4403937406","doi":"https://doi.org/10.1109/iscc61673.2024.10733717"},"language":"en","primary_location":{"id":"doi:10.1109/iscc61673.2024.10733717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc61673.2024.10733717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","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/A5075656820","display_name":"Leonardo Azalim de Oliveira","orcid":"https://orcid.org/0000-0003-0519-0934"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leonardo Azalim de Oliveira","raw_affiliation_strings":["Federal University of Juiz de Fora,Juiz de Fora,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Juiz de Fora,Juiz de Fora,Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064252585","display_name":"Edelberto Franco Silva","orcid":"https://orcid.org/0000-0002-0058-9260"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Edelberto Franco Silva","raw_affiliation_strings":["Federal University of Juiz de Fora,Juiz de Fora,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Juiz de Fora,Juiz de Fora,Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047710320","display_name":"M\u00e1rio A. R. Dantas","orcid":"https://orcid.org/0000-0002-2312-7042"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M\u00e1rio Ant\u00f4nio Ribeiro Dantas","raw_affiliation_strings":["Federal University of Juiz de Fora,Juiz de Fora,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Juiz de Fora,Juiz de Fora,Brazil","institution_ids":["https://openalex.org/I101100930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075656820"],"corresponding_institution_ids":["https://openalex.org/I101100930"],"apc_list":null,"apc_paid":null,"fwci":0.2494,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59347615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.22509999573230743,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.22509999573230743,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.21299999952316284,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7945911288261414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5562868118286133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5002336502075195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7945911288261414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5562868118286133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5002336502075195}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc61673.2024.10733717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc61673.2024.10733717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W2007339694","https://openalex.org/W2095727900","https://openalex.org/W2125283600","https://openalex.org/W2912934387","https://openalex.org/W2919198835","https://openalex.org/W3129155398","https://openalex.org/W4220775951","https://openalex.org/W4312924812","https://openalex.org/W4387319528","https://openalex.org/W4391949099","https://openalex.org/W6857429908"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0,35,92],"5G":[1,81],"technology":[2],"is":[3],"an":[4,95],"evolution":[5],"of":[6,14,27],"the":[7,12,25,38,45,61,73,102,114,125],"mobile":[8],"networks":[9],"due":[10],"to":[11,66,98],"adoption":[13],"a":[15,76,79],"Service":[16],"Based":[17],"Architecture":[18],"(SBA).":[19],"It":[20],"allows":[21],"greater":[22],"flexibility":[23],"and":[24,83],"possibility":[26],"using":[28,75],"data":[29,50,120],"analysis":[30,51,121],"processes":[31],"in":[32,52,60,119],"network":[33,46,82,89],"management.":[34],"3GPP":[36],"defines":[37],"Network":[39],"Data":[40],"Analytics":[41],"Function":[42],"(NWDAF)":[43],"as":[44,88,122],"function":[47,56],"responsible":[48],"for":[49,116],"5G,":[53],"however,":[54],"this":[55,68,70],"remains":[57],"considerably":[58],"unexplored":[59],"existing":[62],"literature.":[63],"In":[64],"order":[65],"fill":[67],"gap,":[69],"paper":[71],"investigates":[72],"NWDAF":[74],"dataset":[77],"from":[78],"simulated":[80],"employing":[84],"machine":[85],"learning":[86],"models":[87],"protocol":[90],"classifiers.":[91],"results":[93],"achieved":[94],"accuracy":[96],"up":[97],"approximately":[99],"75%":[100],"while":[101],"average":[103],"lies":[104],"around":[105],"65%,":[106],"providing":[107],"not":[108],"only":[109],"reproducibility":[110],"but":[111],"also":[112],"paving":[113],"way":[115],"future":[117],"investigations":[118],"specified":[123],"by":[124],"3GPP.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}