{"id":"https://openalex.org/W7164369304","doi":"https://doi.org/10.1007/s13042-026-03180-8","title":"KPIs anomaly detection through dual-branch spatio-temporal-frequency feature extraction and enhanced transformer","display_name":"KPIs anomaly detection through dual-branch spatio-temporal-frequency feature extraction and enhanced transformer","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164369304","doi":"https://doi.org/10.1007/s13042-026-03180-8"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-026-03180-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-026-03180-8","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-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/A5101849430","display_name":"Xiuguo Zhang","orcid":"https://orcid.org/0000-0003-0204-0295"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuguo Zhang","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138462944","display_name":"Lihua Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lihua Zhang","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048507964","display_name":"Peipeng Wang","orcid":"https://orcid.org/0009-0003-9945-1177"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peipeng Wang","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138474726","display_name":"Huihui Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huihui Gao","raw_affiliation_strings":["Xiaomi Corporation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiaomi Corporation, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138465531","display_name":"Zhiying Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiying Cao","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5138462944","https://openalex.org/A5138465531"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":{"value":3590,"currency":"USD","value_usd":3590},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.738161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9441999793052673,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9441999793052673,"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/T12127","display_name":"Software System Performance and Reliability","score":0.010599999688565731,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.0066999997943639755,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/robustness","display_name":"Robustness (evolution)","score":0.7251999974250793},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6503000259399414},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6209999918937683},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5999000072479248},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5742999911308289},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46050000190734863},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.38260000944137573}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7251999974250793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153000235557556},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6503000259399414},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6209999918937683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5999000072479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5796999931335449},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5742999911308289},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46050000190734863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44839999079704285},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.2944999933242798},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.2856000065803528}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-026-03180-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-026-03180-8","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6991932988166809}],"awards":[{"id":"https://openalex.org/G3794423164","display_name":null,"funder_award_id":"No. 52231014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2026453187","https://openalex.org/W2093606067","https://openalex.org/W2293689143","https://openalex.org/W2340896621","https://openalex.org/W2437112748","https://openalex.org/W2743617586","https://openalex.org/W2904458045","https://openalex.org/W2911814931","https://openalex.org/W2912126994","https://openalex.org/W2950361482","https://openalex.org/W2972356308","https://openalex.org/W2973055534","https://openalex.org/W3128634608","https://openalex.org/W3170937175","https://openalex.org/W3170981104","https://openalex.org/W3177318507","https://openalex.org/W3184127157","https://openalex.org/W4210263262","https://openalex.org/W4242850922","https://openalex.org/W4283318673","https://openalex.org/W4285600291","https://openalex.org/W4303578935","https://openalex.org/W4380742472","https://openalex.org/W4385562572","https://openalex.org/W4387675736","https://openalex.org/W4388676625","https://openalex.org/W4396757586","https://openalex.org/W4405621950","https://openalex.org/W4410079849","https://openalex.org/W4412722206","https://openalex.org/W4412924594","https://openalex.org/W4414359903","https://openalex.org/W7101390280"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-06-12T00:00:00"}
