{"id":"https://openalex.org/W3136557219","doi":"https://doi.org/10.1109/bigdata50022.2020.9378276","title":"r-LSTM: Time Series Forecasting for COVID-19 Confirmed Cases with LSTMbased Framework","display_name":"r-LSTM: Time Series Forecasting for COVID-19 Confirmed Cases with LSTMbased Framework","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136557219","doi":"https://doi.org/10.1109/bigdata50022.2020.9378276","mag":"3136557219"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.kennesaw.edu/undergradsymposiumksu/fall2020/presentations/5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083502477","display_name":"Mohammad Masum","orcid":"https://orcid.org/0000-0001-9974-6950"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Masum","raw_affiliation_strings":["Analytics and Data Science Institute, Kennesaw State University, Kennesaw, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Analytics and Data Science Institute, Kennesaw State University, Kennesaw, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052820694","display_name":"Hossain Shahriar","orcid":"https://orcid.org/0000-0003-1021-7986"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossain Shahriar","raw_affiliation_strings":["Department of Information Technology, Kennesaw State University, Marietta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Kennesaw State University, Marietta, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033589500","display_name":"Hisham M. Haddad","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hisham M. Haddad","raw_affiliation_strings":["Department of Computer Science, Kennesaw State University, Marietta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kennesaw State University, Marietta, USA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002525140","display_name":"Mohammad Shafiul Alam","orcid":"https://orcid.org/0000-0002-2393-0791"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Shafiul Alam","raw_affiliation_strings":["Analytics and Data Science Institute, Kennesaw State University, Kennesaw, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Analytics and Data Science Institute, Kennesaw State University, Kennesaw, USA","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":null,"apc_paid":null,"fwci":2.6418,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91331072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1374","last_page":"1379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.996999979019165,"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":0.996999979019165,"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":0.9962999820709229,"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":0.991599977016449,"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/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8241726160049438},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7425225377082825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7298974394798279},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6388392448425293},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.583380937576294},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5740188956260681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5162420272827148},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5122155547142029},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5052981972694397},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.47819045186042786},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4550039768218994},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4506412744522095},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4175625443458557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40622442960739136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36890023946762085},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28416070342063904},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12238568067550659}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8241726160049438},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7425225377082825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298974394798279},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6388392448425293},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.583380937576294},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5740188956260681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5162420272827148},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5122155547142029},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5052981972694397},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47819045186042786},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4550039768218994},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4506412744522095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4175625443458557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40622442960739136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36890023946762085},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28416070342063904},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12238568067550659},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.kennesaw.edu:undergradsymposiumksu-1579","is_oa":true,"landing_page_url":"https://digitalcommons.kennesaw.edu/undergradsymposiumksu/fall2020/presentations/5","pdf_url":"https://digitalcommons.kennesaw.edu/undergradsymposiumksu/fall2020/presentations/5","source":{"id":"https://openalex.org/S4377196456","display_name":"DigitalCommons - Kennesaw State University (Kennesaw State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172980758","host_organization_name":"Kennesaw State University","host_organization_lineage":["https://openalex.org/I172980758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symposium of Student Scholars","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:digitalcommons.kennesaw.edu:undergradsymposiumksu-1579","is_oa":true,"landing_page_url":"https://digitalcommons.kennesaw.edu/undergradsymposiumksu/fall2020/presentations/5","pdf_url":"https://digitalcommons.kennesaw.edu/undergradsymposiumksu/fall2020/presentations/5","source":{"id":"https://openalex.org/S4377196456","display_name":"DigitalCommons - Kennesaw State University (Kennesaw State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172980758","host_organization_name":"Kennesaw State University","host_organization_lineage":["https://openalex.org/I172980758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symposium of Student Scholars","raw_type":"text"},"sustainable_development_goals":[{"score":0.75,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3136557219.pdf","grobid_xml":"https://content.openalex.org/works/W3136557219.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W846669277","https://openalex.org/W2008605811","https://openalex.org/W2612810742","https://openalex.org/W2833607381","https://openalex.org/W2886655107","https://openalex.org/W2991499674","https://openalex.org/W3010223921","https://openalex.org/W3010878697","https://openalex.org/W3011553988","https://openalex.org/W3013360115","https://openalex.org/W3014451890","https://openalex.org/W3016498302","https://openalex.org/W3022122691","https://openalex.org/W3022714712","https://openalex.org/W3022787740","https://openalex.org/W3024647574","https://openalex.org/W3030109869","https://openalex.org/W3036608610","https://openalex.org/W4287826482","https://openalex.org/W6737889394","https://openalex.org/W6773975252","https://openalex.org/W6776351340"],"related_works":["https://openalex.org/W2805949325","https://openalex.org/W4300536205","https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2146461990","https://openalex.org/W4312309719","https://openalex.org/W4391216528","https://openalex.org/W2980748541"],"abstract_inverted_index":{"The":[0,98,179],"coronavirus":[1],"disease":[2],"2019":[3],"(COVID-19)":[4],"caused":[5],"a":[6,42,147,153],"pandemic":[7,115],"outbreak":[8,71],"with":[9],"affecting":[10],"213":[11],"nations":[12],"worldwide.":[13],"Global":[14],"policymakers":[15],"are":[16],"imposing":[17],"many":[18],"measures":[19],"to":[20,62,91,120,171],"slow":[21],"and":[22,72,109,126,155,193],"reduce":[23],"the":[24,28,31,34,55,67,70,93,114,121,134,173,186],"rapid":[25],"growth":[26,68],"of":[27,45,57,69,129,167],"infections.":[29],"On":[30],"other":[32],"hand,":[33],"healthcare":[35],"system":[36],"is":[37,60],"encountering":[38],"significant":[39],"challenges":[40],"for":[41],"massive":[43],"number":[44,56],"COVID-19":[46],"confirmed":[47,58,96],"or":[48],"suspected":[49],"individuals":[50],"seeking":[51],"treatment.":[52],"Therefore,":[53],"estimating":[54],"cases":[59],"necessary":[61],"provide":[63],"valuable":[64],"insights":[65],"into":[66],"facilitate":[73],"policy":[74],"making":[75],"process.":[76],"In":[77,142],"this":[78,143],"study,":[79],"we":[80,145],"apply":[81],"ARIMA":[82,187],"models":[83],"as":[84,86],"well":[85],"LSTM-based":[87],"recurrent":[88],"neural":[89,132],"network":[90],"forecast":[92],"daily":[94],"cumulative":[95],"cases.":[97],"LSTM":[99,135],"architecture":[100],"generates":[101],"more":[102],"precise":[103],"forecasting":[104],"by":[105],"leveraging":[106,158],"both":[107],"short-":[108],"long-term":[110],"temporal":[111],"dependencies":[112],"from":[113],"time":[116],"series":[117],"data.":[118],"Due":[119],"stochastic":[122],"nature":[123],"in":[124,131,175],"optimization":[125],"random":[127],"initialization":[128],"weights":[130],"network,":[133],"based":[136],"model":[137,177,188],"produce":[138],"less":[139],"reproducible":[140,154],"outcome.":[141],"paper,":[144],"propose":[146],"reproducible-LSTM":[148],"(r-LSTM)":[149],"framework":[150],"that":[151,183],"produces":[152],"robust":[156],"results":[157,181],"z-score":[159],"outlier":[160],"detection":[161],"method.":[162],"We":[163],"performed":[164],"five":[165],"round":[166],"nested":[168],"cross":[169],"validation":[170],"show":[172],"consistency":[174],"evaluating":[176],"performance.":[178],"experimental":[180],"demonstrate":[182],"r-LSTM":[184],"outperformed":[185],"producing":[189],"minimum":[190],"MAPE,":[191],"RMSE,":[192],"MAE.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
