{"id":"https://openalex.org/W4402593169","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674325","title":"Explainable AI and Statistical Learning for Enhanced Abnormal Detection in O-RAN Networks","display_name":"Explainable AI and Statistical Learning for Enhanced Abnormal Detection in O-RAN Networks","publication_year":2024,"publication_date":"2024-07-09","ids":{"openalex":"https://openalex.org/W4402593169","doi":"https://doi.org/10.1109/icce-taiwan62264.2024.10674325"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan62264.2024.10674325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan62264.2024.10674325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5111330104","display_name":"Chih-Hao Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Hao Yao","raw_affiliation_strings":["Chunghwa Telecom Laboratories,Wireless Communications Laboratory,Taoyuan City,Taiwan,326"],"affiliations":[{"raw_affiliation_string":"Chunghwa Telecom Laboratories,Wireless Communications Laboratory,Taoyuan City,Taiwan,326","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400883","display_name":"Yuan Chen","orcid":"https://orcid.org/0000-0001-8799-7664"},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-An Chen","raw_affiliation_strings":["Chunghwa Telecom Laboratories,Wireless Communications Laboratory,Taoyuan City,Taiwan,326"],"affiliations":[{"raw_affiliation_string":"Chunghwa Telecom Laboratories,Wireless Communications Laboratory,Taoyuan City,Taiwan,326","institution_ids":["https://openalex.org/I92172085"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111330104"],"corresponding_institution_ids":["https://openalex.org/I92172085"],"apc_list":null,"apc_paid":null,"fwci":0.3919,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57412364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"655","last_page":"656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9510999917984009,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9420999884605408,"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/ran","display_name":"Ran","score":0.8222619295120239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577808260917664},{"id":"https://openalex.org/keywords/c-ran","display_name":"C-RAN","score":0.603632926940918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5077160596847534},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43028879165649414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3232375979423523},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16286444664001465},{"id":"https://openalex.org/keywords/radio-access-network","display_name":"Radio access network","score":0.12637531757354736}],"concepts":[{"id":"https://openalex.org/C160704184","wikidata":"https://www.wikidata.org/wiki/Q18031028","display_name":"Ran","level":2,"score":0.8222619295120239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577808260917664},{"id":"https://openalex.org/C2779765720","wikidata":"https://www.wikidata.org/wiki/Q5005908","display_name":"C-RAN","level":5,"score":0.603632926940918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077160596847534},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43028879165649414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3232375979423523},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16286444664001465},{"id":"https://openalex.org/C106365562","wikidata":"https://www.wikidata.org/wiki/Q3078360","display_name":"Radio access network","level":4,"score":0.12637531757354736},{"id":"https://openalex.org/C207029474","wikidata":"https://www.wikidata.org/wiki/Q384018","display_name":"Mobile station","level":3,"score":0.0},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan62264.2024.10674325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan62264.2024.10674325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2888448571","https://openalex.org/W2955338161","https://openalex.org/W2981096252","https://openalex.org/W3019913914","https://openalex.org/W4317796310","https://openalex.org/W4361265577","https://openalex.org/W4386322339","https://openalex.org/W4387870064","https://openalex.org/W4388820539"],"related_works":["https://openalex.org/W2885627391","https://openalex.org/W4401508502","https://openalex.org/W4324323655","https://openalex.org/W2922954044","https://openalex.org/W3037103914","https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340"],"abstract_inverted_index":{"This":[0,83],"paper":[1],"focuses":[2],"on":[3,45],"the":[4,11,57,75,100,107],"critical":[5],"task":[6],"of":[7,59,77,102,109],"abnormal":[8,26,90],"detection":[9,27,91],"in":[10,61,96,106],"Open":[12],"Radio":[13,67],"Access":[14],"Network":[15],"(O-RAN)":[16],"environment.":[17],"Utilizing":[18],"real-world":[19],"O-RAN":[20,42,97],"data,":[21],"we":[22],"propose":[23],"a":[24,86],"novel":[25],"method":[28,79],"that":[29],"integrates":[30],"explainable":[31,104],"Artificial":[32],"Intelligence":[33],"(AI)":[34],"with":[35],"statistical":[36],"learning":[37],"techniques.":[38],"Our":[39],"approach":[40],"classifies":[41],"devices":[43],"based":[44],"their":[46],"operational":[47],"locations":[48],"and":[49,88],"utilizes":[50],"historical":[51],"data":[52],"for":[53,93],"AI":[54,105],"training,":[55],"emphasizing":[56],"identification":[58],"deviations":[60],"network":[62,94],"performance":[63],"metrics":[64],"such":[65],"as":[66],"Resource":[68],"Control":[69],"(RRC)":[70],"connections.":[71],"Through":[72],"field":[73,108],"testing,":[74],"feasibility":[76],"our":[78],"has":[80],"been":[81],"validated.":[82],"study":[84],"provides":[85],"scalable":[87],"transparent":[89],"solution":[92],"management":[95],"systems,":[98],"highlighting":[99],"importance":[101],"applying":[103],"telecommunications.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}