{"id":"https://openalex.org/W4398765962","doi":"https://doi.org/10.3233/his-240005","title":"Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networks","display_name":"Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networks","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4398765962","doi":"https://doi.org/10.3233/his-240005"},"language":"en","primary_location":{"id":"doi:10.3233/his-240005","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-240005","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","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/A5068911769","display_name":"Luka Jovanovi\u0107","orcid":"https://orcid.org/0000-0001-9402-7391"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Luka Jovanovic","raw_affiliation_strings":["Singidunum University, Danijelova, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"Singidunum University, Danijelova, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072469505","display_name":"Miodrag \u017divkovi\u0107","orcid":"https://orcid.org/0000-0002-4351-068X"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Miodrag Zivkovic","raw_affiliation_strings":["Singidunum University, Danijelova, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"Singidunum University, Danijelova, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064081550","display_name":"Neboj\u0161a Ba\u010danin","orcid":"https://orcid.org/0000-0002-2062-924X"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]},{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]},{"id":"https://openalex.org/I91633459","display_name":"Middle East University","ror":"https://ror.org/059bgad73","country_code":"JO","type":"education","lineage":["https://openalex.org/I91633459"]}],"countries":["IN","JO","RS"],"is_corresponding":true,"raw_author_name":"Nebojsa Bacanin","raw_affiliation_strings":["Department of Mathematics, Saveetha School of Engineering, SIMATS, Thandalam, Chennai, Tamilnadu, India","MEU Research Unit, Middle East University, Amman, Jordan","Singidunum University, Danijelova, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Saveetha School of Engineering, SIMATS, Thandalam, Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"MEU Research Unit, Middle East University, Amman, Jordan","institution_ids":["https://openalex.org/I91633459"]},{"raw_affiliation_string":"Singidunum University, Danijelova, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089582846","display_name":"Aleksandra Bozovic","orcid":"https://orcid.org/0000-0001-9292-6318"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Aleksandra Bozovic","raw_affiliation_strings":["Technica faculty \u201cMihajlo Pupin\u201d, University of Novi Sad, Dure Dakovica bb, Zrenjanin, Serbia","Technica faculty \"Mihajlo Pupin\", University of Novi Sad, Dure Dakovica bb, Zrenjanin, Serbia"],"affiliations":[{"raw_affiliation_string":"Technica faculty \u201cMihajlo Pupin\u201d, University of Novi Sad, Dure Dakovica bb, Zrenjanin, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Technica faculty \"Mihajlo Pupin\", University of Novi Sad, Dure Dakovica bb, Zrenjanin, Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012832808","display_name":"Petar Bisevac","orcid":"https://orcid.org/0000-0003-0177-6321"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Petar Bisevac","raw_affiliation_strings":["Singidunum University, Danijelova, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"Singidunum University, Danijelova, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061798785","display_name":"Milo\u0161 Antonijevi\u0107","orcid":"https://orcid.org/0000-0002-5511-2531"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milos Antonijevic","raw_affiliation_strings":["Singidunum University, Danijelova, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"Singidunum University, Danijelova, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064081550"],"corresponding_institution_ids":["https://openalex.org/I170253739","https://openalex.org/I85461943","https://openalex.org/I91633459"],"apc_list":null,"apc_paid":null,"fwci":1.7376,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86296506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"4","first_page":"275","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9977999925613403,"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":0.9977999925613403,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9842000007629395,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6840900778770447},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6584010124206543},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6553504467010498},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5902833938598633},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5714926719665527},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5501049160957336},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5302718877792358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5103027820587158},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4585729241371155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44173815846443176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32816600799560547},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07215750217437744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6840900778770447},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6584010124206543},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6553504467010498},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5902833938598633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5714926719665527},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5501049160957336},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5302718877792358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5103027820587158},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4585729241371155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44173815846443176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32816600799560547},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07215750217437744},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/his-240005","is_oa":false,"landing_page_url":"https://doi.org/10.3233/his-240005","pdf_url":null,"source":{"id":"https://openalex.org/S50927259","display_name":"International Journal of Hybrid Intelligent Systems","issn_l":"1448-5869","issn":["1448-5869","1875-8819"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Hybrid Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W358021335","https://openalex.org/W1975640002","https://openalex.org/W1986019364","https://openalex.org/W2024518622","https://openalex.org/W2064675550","https://openalex.org/W2069143585","https://openalex.org/W2070145903","https://openalex.org/W2095409369","https://openalex.org/W2151554678","https://openalex.org/W2330219538","https://openalex.org/W2500279295","https://openalex.org/W2919979744","https://openalex.org/W2981111316","https://openalex.org/W3045004532","https://openalex.org/W3127206013","https://openalex.org/W3188490036","https://openalex.org/W3209292513","https://openalex.org/W3209420330","https://openalex.org/W4200453867","https://openalex.org/W4210977106","https://openalex.org/W4212966226","https://openalex.org/W4249545506","https://openalex.org/W4285235976","https://openalex.org/W4285265699","https://openalex.org/W4285613933","https://openalex.org/W4290719153","https://openalex.org/W4290719175","https://openalex.org/W4290719317","https://openalex.org/W4293053892","https://openalex.org/W4298191369","https://openalex.org/W4312090279","https://openalex.org/W4312090324","https://openalex.org/W4312092258","https://openalex.org/W4313494551","https://openalex.org/W4315557042","https://openalex.org/W4320005389","https://openalex.org/W4320734716","https://openalex.org/W4320734748","https://openalex.org/W4320734898","https://openalex.org/W4322096713","https://openalex.org/W4324285131","https://openalex.org/W4382873860","https://openalex.org/W4382934512","https://openalex.org/W4385758555","https://openalex.org/W4385978868","https://openalex.org/W4388670937","https://openalex.org/W4388720887","https://openalex.org/W4388726713","https://openalex.org/W4389775953","https://openalex.org/W4389881453","https://openalex.org/W4390481482","https://openalex.org/W4390638526","https://openalex.org/W4390979164","https://openalex.org/W4391014445","https://openalex.org/W4391014584","https://openalex.org/W4392788509","https://openalex.org/W4399263061"],"related_works":["https://openalex.org/W2789681586","https://openalex.org/W2794361564","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W4243392960","https://openalex.org/W3156820950","https://openalex.org/W1847088711","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"This":[0,80],"study":[1,51],"explores":[2],"the":[3,11,50,77,116,121,126,141,150,157,167],"realm":[4],"of":[5,13,105,128,147,160],"time":[6],"series":[7],"forecasting,":[8],"focusing":[9],"on":[10],"utilization":[12],"Recurrent":[14],"Neural":[15],"Networks":[16],"(RNN)":[17],"to":[18,31,72],"detect":[19],"abnormal":[20],"cardiovascular":[21,92],"rhythms":[22,93],"in":[23,76,89,115,172],"Electrocardiogram":[24],"(ECG)":[25],"signals.":[26,96],"The":[27,97],"principal":[28],"objective":[29],"is":[30,70],"optimize":[32],"RNN":[33,152],"performance":[34],"by":[35,110,124,135],"finely":[36],"tuning":[37],"hyperparameters,":[38],"a":[39,67],"complex":[40],"task":[41],"with":[42],"known":[43],"NP-hard":[44],"complexity.":[45],"To":[46],"address":[47],"this":[48,139],"challenge,":[49],"employs":[52],"metaheuristic":[53],"algorithms,":[54],"specialized":[55],"problem-solving":[56],"techniques":[57],"crafted":[58],"for":[59,169],"navigating":[60],"intricate":[61],"and":[62,165],"non-deterministic":[63],"optimization":[64],"landscapes.":[65],"Additionally,":[66],"refined":[68],"algorithm":[69,82],"introduced":[71],"overcome":[73],"limitations":[74],"inherent":[75],"original":[78,151],"approach.":[79],"modified":[81],"exhibits":[83],"significant":[84],"improvements,":[85],"surpassing":[86,149],"its":[87],"predecessor":[88],"identifying":[90],"anomalous":[91],"within":[94],"ECG":[95],"most":[98],"successful":[99],"optimized":[100,109],"model":[101],"achieves":[102],"an":[103,145],"accuracy":[104,146],"99.26%,":[106],"outperforming":[107],"models":[108,133,143,164],"other":[111],"contemporary":[112],"metaheuristics":[113],"assessed":[114],"study.":[117],"Further":[118],"experimentation":[119],"extends":[120],"initial":[122],"inquiry":[123],"exploring":[125],"capabilities":[127],"Long":[129],"Short-Term":[130],"Memory":[131],"(LSTM)":[132],"augmented":[134],"attention":[136],"layers.":[137],"In":[138],"extension,":[140],"best":[142],"demonstrate":[144],"99.83%,":[148],"models.":[153],"These":[154],"findings":[155],"underscore":[156],"crucial":[158],"importance":[159],"refining":[161],"machine":[162],"learning":[163],"emphasize":[166],"potential":[168],"substantial":[170],"advancements":[171],"healthcare":[173],"through":[174],"innovative":[175],"algorithmic":[176],"approaches.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
