FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3213904540> ?p ?o ?g. }

• W3213904540 endingPage "1024" @default.
• W3213904540 startingPage "1007" @default.
• W3213904540 abstract "COVID-19 is a novel virus that spreads in multiple chains from one person to the next. When a person is infected with this virus, they experience respiratory problems as well as rise in body temperature. Heavy breathlessness is the most severe sign of this COVID-19, which can lead to serious illness in some people. However, not everyone who has been infected with this virus will experience the same symptoms. Some people develop cold and cough, while others suffer from severe headaches and fatigue. This virus freezes the entire world as each country is fighting against COVID-19 and endures vaccination doses. Worldwide epidemic has been caused by this unusual virus. Several researchers use a variety of statistical methodologies to create models that examine the present stage of the pandemic and the losses incurred, as well as considered other factors that vary by location. The obtained statistical models depend on diverse aspects, and the studies are purely based on possible preferences, the pattern in which the virus spreads and infects people. Machine Learning classifiers such as Linear regression, Multi-Layer Perception and Vector Auto Regression are applied in this study to predict the various COVID-19 blowouts. The data comes from the COVID-19 data repository at Johns Hopkins University, and it focuses on the dissemination of different effect patterns of Covid-19 cases throughout Asian countries." @default.
• W3213904540 created "2021-11-22" @default.
• W3213904540 creator A5007626956 @default.
• W3213904540 creator A5019252302 @default.
• W3213904540 creator A5020271651 @default.
• W3213904540 creator A5056951930 @default.
• W3213904540 creator A5060030414 @default.
• W3213904540 creator A5076957645 @default.
• W3213904540 date "2022-01-01" @default.
• W3213904540 modified "2023-10-16" @default.
• W3213904540 title "COVID-19 Pandemic Prediction and Forecasting Using Machine Learning Classifiers" @default.
• W3213904540 cites W2031235730 @default.
• W3213904540 cites W2089316176 @default.
• W3213904540 cites W2509077552 @default.
• W3213904540 cites W2778314063 @default.
• W3213904540 cites W2791592791 @default.
• W3213904540 cites W2964145863 @default.
• W3213904540 cites W2966231499 @default.
• W3213904540 cites W2969873370 @default.
• W3213904540 cites W2971973336 @default.
• W3213904540 cites W2991152680 @default.
• W3213904540 cites W3000355524 @default.
• W3213904540 cites W3001897055 @default.
• W3213904540 cites W3007866917 @default.
• W3213904540 cites W3008827533 @default.
• W3213904540 cites W3009876049 @default.
• W3213904540 cites W3017117984 @default.
• W3213904540 cites W3023617420 @default.
• W3213904540 cites W3035916362 @default.
• W3213904540 cites W3037163353 @default.
• W3213904540 cites W3038780555 @default.
• W3213904540 cites W3134454239 @default.
• W3213904540 cites W3135322319 @default.
• W3213904540 cites W3139338041 @default.
• W3213904540 cites W3148835202 @default.
• W3213904540 cites W3149267786 @default.
• W3213904540 cites W3149983039 @default.
• W3213904540 cites W3155888499 @default.
• W3213904540 cites W3156011792 @default.
• W3213904540 cites W3160359127 @default.
• W3213904540 cites W3163470022 @default.
• W3213904540 cites W3186204871 @default.
• W3213904540 cites W3186359653 @default.
• W3213904540 doi "https://doi.org/10.32604/iasc.2022.021507" @default.
• W3213904540 hasPublicationYear "2022" @default.
• W3213904540 type Work @default.
• W3213904540 sameAs 3213904540 @default.
• W3213904540 citedByCount "10" @default.
• W3213904540 countsByYear W32139045402022 @default.
• W3213904540 countsByYear W32139045402023 @default.
• W3213904540 crossrefType "journal-article" @default.
• W3213904540 hasAuthorship W3213904540A5007626956 @default.
• W3213904540 hasAuthorship W3213904540A5019252302 @default.
• W3213904540 hasAuthorship W3213904540A5020271651 @default.
• W3213904540 hasAuthorship W3213904540A5056951930 @default.
• W3213904540 hasAuthorship W3213904540A5060030414 @default.
• W3213904540 hasAuthorship W3213904540A5076957645 @default.
• W3213904540 hasBestOaLocation W32139045401 @default.
• W3213904540 hasConcept C119857082 @default.
• W3213904540 hasConcept C141071460 @default.
• W3213904540 hasConcept C142724271 @default.
• W3213904540 hasConcept C154945302 @default.
• W3213904540 hasConcept C2779134260 @default.
• W3213904540 hasConcept C2780966972 @default.
• W3213904540 hasConcept C3007834351 @default.
• W3213904540 hasConcept C3008058167 @default.
• W3213904540 hasConcept C41008148 @default.
• W3213904540 hasConcept C524204448 @default.
• W3213904540 hasConcept C71924100 @default.
• W3213904540 hasConcept C89623803 @default.
• W3213904540 hasConceptScore W3213904540C119857082 @default.
• W3213904540 hasConceptScore W3213904540C141071460 @default.
• W3213904540 hasConceptScore W3213904540C142724271 @default.
• W3213904540 hasConceptScore W3213904540C154945302 @default.
• W3213904540 hasConceptScore W3213904540C2779134260 @default.
• W3213904540 hasConceptScore W3213904540C2780966972 @default.
• W3213904540 hasConceptScore W3213904540C3007834351 @default.
• W3213904540 hasConceptScore W3213904540C3008058167 @default.
• W3213904540 hasConceptScore W3213904540C41008148 @default.
• W3213904540 hasConceptScore W3213904540C524204448 @default.
• W3213904540 hasConceptScore W3213904540C71924100 @default.
• W3213904540 hasConceptScore W3213904540C89623803 @default.
• W3213904540 hasIssue "2" @default.
• W3213904540 hasLocation W32139045401 @default.
• W3213904540 hasOpenAccess W3213904540 @default.
• W3213904540 hasPrimaryLocation W32139045401 @default.
• W3213904540 hasRelatedWork W3017171836 @default.
• W3213904540 hasRelatedWork W3025176011 @default.
• W3213904540 hasRelatedWork W3027835066 @default.
• W3213904540 hasRelatedWork W3032320397 @default.
• W3213904540 hasRelatedWork W3033635008 @default.
• W3213904540 hasRelatedWork W3119540162 @default.
• W3213904540 hasRelatedWork W3152606407 @default.
• W3213904540 hasRelatedWork W4280491013 @default.
• W3213904540 hasRelatedWork W4308017287 @default.
• W3213904540 hasRelatedWork W3107152225 @default.
• W3213904540 hasVolume "32" @default.
• W3213904540 isParatext "false" @default.

• next