{"id":"https://openalex.org/W4385624317","doi":"https://doi.org/10.1109/eurocon56442.2023.10199072","title":"A Distributed Ensemble of Diverse Deep Learning Models for Predicting COVID-19 Cases","display_name":"A Distributed Ensemble of Diverse Deep Learning Models for Predicting COVID-19 Cases","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4385624317","doi":"https://doi.org/10.1109/eurocon56442.2023.10199072"},"language":"en","primary_location":{"id":"doi:10.1109/eurocon56442.2023.10199072","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eurocon56442.2023.10199072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE EUROCON 2023 - 20th International Conference on Smart Technologies","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/A5085933596","display_name":"Mohammad Mehedi Hassan","orcid":"https://orcid.org/0000-0002-3479-3606"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Mohammad Mehedi Hassan","raw_affiliation_strings":["King Saud University,Information Systems Department CCIS,Riadh,Saudi Arabia,11543"],"affiliations":[{"raw_affiliation_string":"King Saud University,Information Systems Department CCIS,Riadh,Saudi Arabia,11543","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017023860","display_name":"Mabrook Al\u2010Rakhami","orcid":"https://orcid.org/0000-0001-5343-8370"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mabrook S. AlRakhami","raw_affiliation_strings":["King Saud University,Information Systems Department CCIS,Riadh,Saudi Arabia,11543"],"affiliations":[{"raw_affiliation_string":"King Saud University,Information Systems Department CCIS,Riadh,Saudi Arabia,11543","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012690268","display_name":"Ahmed Zohier Elhendi","orcid":"https://orcid.org/0009-0000-0118-169X"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ahmed Zohier Elhendi","raw_affiliation_strings":["King Saud University,Science Technology and Innovation Dept.,Riyadh,Saudi Arabia,11543"],"affiliations":[{"raw_affiliation_string":"King Saud University,Science Technology and Innovation Dept.,Riyadh,Saudi Arabia,11543","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046464125","display_name":"Salman A. AlQahtani","orcid":"https://orcid.org/0000-0003-1233-1774"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Salman A. AlQahtani","raw_affiliation_strings":["King Saud University,Computer Engineering Department CCIS,Riadh,Saudi Arabia,11543"],"affiliations":[{"raw_affiliation_string":"King Saud University,Computer Engineering Department CCIS,Riadh,Saudi Arabia,11543","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085933596"],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26915447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"146","issue":null,"first_page":"585","last_page":"589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8099122047424316},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.7681695222854614},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7066640853881836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.672142744064331},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.667658269405365},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6249319314956665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5791512727737427},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5089244842529297},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4888455271720886},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4415163993835449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34246566891670227},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.1963306963443756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099122047424316},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.7681695222854614},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7066640853881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.672142744064331},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.667658269405365},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6249319314956665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5791512727737427},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5089244842529297},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4888455271720886},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4415163993835449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34246566891670227},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.1963306963443756},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eurocon56442.2023.10199072","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/eurocon56442.2023.10199072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE EUROCON 2023 - 20th International Conference on Smart Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2995015263","https://openalex.org/W3014289208","https://openalex.org/W3019531985","https://openalex.org/W3024761859","https://openalex.org/W3039033741","https://openalex.org/W3047779550","https://openalex.org/W3115894432","https://openalex.org/W3117791046","https://openalex.org/W3168997536","https://openalex.org/W3184822525","https://openalex.org/W3213421775","https://openalex.org/W4205815152","https://openalex.org/W4205867922","https://openalex.org/W4212909007","https://openalex.org/W4220778903","https://openalex.org/W4224942284","https://openalex.org/W4286770762","https://openalex.org/W4295242301","https://openalex.org/W4318823165","https://openalex.org/W4321457973","https://openalex.org/W4321499165","https://openalex.org/W4322771596","https://openalex.org/W6775960533"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2794896638","https://openalex.org/W3124943098","https://openalex.org/W2891633941"],"abstract_inverted_index":{"The":[0],"outbreak":[1],"of":[2,20,45,89,113,127,189],"the":[3,18,43,52,87,111,128,152,179,184,199],"COVID-19":[4,21,114,172],"pandemic":[5],"has":[6,37],"resulted":[7],"in":[8,41,159,187],"a":[9,57,81,125,141,160],"significant":[10],"impact":[11],"on":[12,124,156,169],"global":[13],"health":[14],"and":[15,31,104,130,162,174,201],"economy.":[16],"Forecasting":[17],"spread":[19,44],"cases":[22],"is":[23,68],"essential":[24],"for":[25,56,73],"policymakers":[26],"to":[27,70,109,134,150,205],"make":[28],"informed":[29],"decisions":[30],"allocate":[32],"resources":[33],"accordingly.":[34],"Deep":[35],"learning":[36,92,122,154],"shown":[38],"promising":[39],"results":[40,176],"predicting":[42],"infectious":[46],"diseases,":[47],"including":[48,94],"COVID-19.":[49],"However,":[50],"selecting":[51],"most":[53],"appropriate":[54],"model":[55,67,123,182,208],"given":[58],"forecasting":[59,190],"task":[60],"can":[61],"be":[62],"challenging,":[63],"as":[64],"no":[65],"single":[66],"guaranteed":[69],"perform":[71],"well":[72],"all":[74],"scenarios.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79,118,144],"propose":[80],"distributed":[82,142,163,194],"ensemble":[83,137,181,195],"approach":[84,168,196],"that":[85,178],"combines":[86],"predictions":[88,133],"different":[90],"deep":[91,121,153],"models,":[93],"Autoregressive":[95],"Integrated":[96],"Moving":[97],"Average":[98],"(Auto-ARIMA),":[99],"Convolutional":[100],"Neural":[101],"Networks":[102],"(CNN)":[103],"Long":[105],"Short-Term":[106],"Memory":[107],"(LSTM),":[108],"improve":[110],"accuracy":[112],"case":[115],"forecasts.":[116],"Specifically,":[117],"train":[119,151],"each":[120,207],"subset":[126],"data":[129],"aggregate":[131],"their":[132],"obtain":[135],"an":[136,146],"forecast.":[138],"To":[139],"achieve":[140],"ensemble,":[143],"use":[145],"edge":[147],"computing":[148],"framework":[149],"models":[155,186],"multiple":[157],"nodes":[158],"parallel":[161],"manner.":[164],"We":[165],"evaluate":[166],"our":[167,175,193],"publicly":[170],"available":[171],"datasets,":[173],"show":[177],"proposed":[180],"outperforms":[183],"individual":[185],"terms":[188],"accuracy.":[191],"Furthermore,":[192],"significantly":[197],"reduces":[198],"training":[200,206],"prediction":[202],"time":[203],"compared":[204],"separately.":[209]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}