{"id":"https://openalex.org/W7152413069","doi":"https://doi.org/10.1109/icecet63943.2025.11471894","title":"Enhanced 6G Network Slicing Classification Using PSO-Based Feature Selection and Ensemble Learning","display_name":"Enhanced 6G Network Slicing Classification Using PSO-Based Feature Selection and Ensemble Learning","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W7152413069","doi":"https://doi.org/10.1109/icecet63943.2025.11471894"},"language":null,"primary_location":{"id":"doi:10.1109/icecet63943.2025.11471894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11471894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5133312349","display_name":"Merve G\u00fcll\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092500","display_name":"T\u00fcrk Telekom (Turkey)","ror":"https://ror.org/002famp79","country_code":"TR","type":"company","lineage":["https://openalex.org/I4210092500"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Merve G\u00fcll\u00fc","raw_affiliation_strings":["Türk Telekom,R&D Department,Ankara,Turkey"],"affiliations":[{"raw_affiliation_string":"Türk Telekom,R&D Department,Ankara,Turkey","institution_ids":["https://openalex.org/I4210092500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133290212","display_name":"Bayram K\u00fc\u00e7\u00fck","orcid":null},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bayram K\u00fc\u00e7\u00fck","raw_affiliation_strings":["Düzce University,Dept. of Electrical and Electronics Eng.,Düzce,Turkey"],"affiliations":[{"raw_affiliation_string":"Düzce University,Dept. of Electrical and Electronics Eng.,Düzce,Turkey","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060150315","display_name":"Esra S\u00f6\u011f\u00fct","orcid":"https://orcid.org/0000-0002-0051-2271"},"institutions":[{"id":"https://openalex.org/I95634034","display_name":"Gazi University","ror":"https://ror.org/054xkpr46","country_code":"TR","type":"education","lineage":["https://openalex.org/I95634034"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Esra S\u00f6\u011f\u00fct","raw_affiliation_strings":["Gazi University,Dept. of Computer Eng.,Ankara,Turkey"],"affiliations":[{"raw_affiliation_string":"Gazi University,Dept. of Computer Eng.,Ankara,Turkey","institution_ids":["https://openalex.org/I95634034"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5133312349"],"corresponding_institution_ids":["https://openalex.org/I4210092500"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78221423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.7006999850273132,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.7006999850273132,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.060499999672174454,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.05590000003576279,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6155999898910522},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5777999758720398},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5098999738693237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5072000026702881},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3619000017642975},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.35989999771118164},{"id":"https://openalex.org/keywords/slicing","display_name":"Slicing","score":0.32089999318122864},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.30390000343322754}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707099974155426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610999703407288},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6155999898910522},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5777999758720398},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5072000026702881},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3903000056743622},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.35989999771118164},{"id":"https://openalex.org/C2776190703","wikidata":"https://www.wikidata.org/wiki/Q488148","display_name":"Slicing","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet63943.2025.11471894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11471894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/W2152195021","https://openalex.org/W2980300540","https://openalex.org/W3185626281","https://openalex.org/W3214369880","https://openalex.org/W4292382515","https://openalex.org/W4296079469","https://openalex.org/W4313557147","https://openalex.org/W4382401293","https://openalex.org/W4392942436","https://openalex.org/W4399259665","https://openalex.org/W4406617796","https://openalex.org/W4407690687"],"related_works":[],"abstract_inverted_index":{"In":[0,70,103,125],"parallel":[1],"with":[2],"technological":[3],"developments,":[4,29],"mobile":[5],"and":[6,41,59,66,80,101,109,138,155,165,177],"wireless":[7],"communication":[8,64],"technologies":[9],"are":[10,113,160],"advancing":[11],"rapidly.":[12],"Today,":[13],"5G":[14],"technology":[15,76],"is":[16,35,130,147],"widely":[17],"used,":[18],"while":[19],"studies":[20],"on":[21,85],"6G":[22,75,123],"continue.":[23],"As":[24],"a":[25],"result":[26],"of":[27,32,50,144,153,168,186],"these":[28,73],"the":[30,48,117,127,151,163,183,187],"use":[31,185],"internet-connected":[33],"devices":[34,51],"increasing":[36],"both":[37],"in":[38,42,47,62,122],"daily":[39],"life":[40],"industrial":[43],"areas.":[44],"This":[45],"increase":[46],"number":[49],"brings":[52],"critical":[53],"requirements":[54],"such":[55,97],"as":[56,98],"additional":[57],"resources":[58],"energy":[60],"consumption":[61],"networks,":[63],"prioritization,":[65],"reliable":[67,140],"data":[68],"transmission.":[69],"response":[71],"to":[72,93,115,132,148,150,173],"needs,":[74],"offers":[77],"dynamic,":[78],"flexible,":[79,176],"scenario-based":[81],"resource":[82],"allocation":[83],"based":[84],"network":[86,118,157,179],"slicing.":[87],"Network":[88],"slicing":[89,119],"makes":[90],"it":[91,171],"possible":[92],"support":[94],"innovative":[95],"services":[96],"super-eMBB,":[99],"massive-MTC,":[100],"super-URLLC.":[102],"this":[104,145],"paper,":[105],"PSO-based":[106],"feature":[107],"selection":[108],"ensemble":[110],"learning":[111],"methods":[112],"used":[114],"solve":[116],"classification":[120],"problem":[121],"networks.":[124],"addition,":[126],"LIME":[128],"method":[129],"applied":[131],"help":[133],"better":[134],"interpret":[135],"model":[136],"predictions":[137],"make":[139],"decisions.The":[141],"main":[142],"objective":[143],"study":[146],"contribute":[149],"development":[152],"autonomous":[154],"seamless":[156],"systems":[158],"that":[159],"suitable":[161],"for":[162],"dynamic":[164],"complex":[166],"nature":[167],"6G.":[169,191],"Thus,":[170],"aims":[172],"create":[174],"reliable,":[175],"efficient":[178],"solutions":[180],"by":[181,190],"making":[182],"best":[184],"innovations":[188],"offered":[189]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-04-10T00:00:00"}