Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315694930> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4315694930 abstract "A novel virus named coronavirus or ‘COVID-19’ by the World Health organization (WHO) has spread around the entire world placing mankind in a situation that no one had predicted. The rise of the number of infected and death cases around the world is alarming and has caused hysteria among mankind. Considering the adversity of the COVID-19, some immediate plan to monitor the number of cases in the future needs to be maneuvered. In this paper, we aim to implement a method to envision the number of COVID-19 cases for the future. We achieve the result by using a deep learning algorithm known as Long Short-Term Memory (LSTM) over the real-time dataset provided by WHO for predicting the number of COVID-19 cases in twelve countries. The countries considered in this study are United States of America, China, United Arab Emirates, India, Brazil, France, Germany, Spain, Republic of Korea, Italy, Singapore, and Argentina. The contribution of this paper is to provide each country with their own model that can help predict their respective future COVID-19 cases. With these predictions, each country can then come up with solutions to reduce the number of infected cases in their respective nation. The proposed LSTM model was evaluated using metrics such as Correlation Coefficient and R <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> Error. The results show that the model was giving high R <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> score (≥ 0.7) and high correlation coefficient (≥ 0.7) between the test and train datasets. In the cases where R <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> score (< 0.7) and correlation coefficient (< 0.7) were low, the train and test values of the datasets were similar making the predictions accurate." @default.
- W4315694930 created "2023-01-12" @default.
- W4315694930 creator A5000429982 @default.
- W4315694930 creator A5021291171 @default.
- W4315694930 date "2022-10-27" @default.
- W4315694930 modified "2023-09-27" @default.
- W4315694930 title "Predicting Covid-19 Cases for 12 Countries using Long Short-Term Memory" @default.
- W4315694930 cites W2064675550 @default.
- W4315694930 cites W3012434404 @default.
- W4315694930 cites W3080840844 @default.
- W4315694930 cites W3123800621 @default.
- W4315694930 cites W3128060123 @default.
- W4315694930 cites W3132353300 @default.
- W4315694930 cites W3136048320 @default.
- W4315694930 cites W3150933588 @default.
- W4315694930 cites W3153086844 @default.
- W4315694930 cites W3159752838 @default.
- W4315694930 cites W3164955996 @default.
- W4315694930 cites W3187628238 @default.
- W4315694930 cites W3196516259 @default.
- W4315694930 doi "https://doi.org/10.1109/iceet56468.2022.10006845" @default.
- W4315694930 hasPublicationYear "2022" @default.
- W4315694930 type Work @default.
- W4315694930 citedByCount "0" @default.
- W4315694930 crossrefType "proceedings-article" @default.
- W4315694930 hasAuthorship W4315694930A5000429982 @default.
- W4315694930 hasAuthorship W4315694930A5021291171 @default.
- W4315694930 hasConcept C116675565 @default.
- W4315694930 hasConcept C119857082 @default.
- W4315694930 hasConcept C121332964 @default.
- W4315694930 hasConcept C142724271 @default.
- W4315694930 hasConcept C144024400 @default.
- W4315694930 hasConcept C149923435 @default.
- W4315694930 hasConcept C154945302 @default.
- W4315694930 hasConcept C159047783 @default.
- W4315694930 hasConcept C17744445 @default.
- W4315694930 hasConcept C191935318 @default.
- W4315694930 hasConcept C199539241 @default.
- W4315694930 hasConcept C205649164 @default.
- W4315694930 hasConcept C2779134260 @default.
- W4315694930 hasConcept C3006700255 @default.
- W4315694930 hasConcept C3007834351 @default.
- W4315694930 hasConcept C3008058167 @default.
- W4315694930 hasConcept C33923547 @default.
- W4315694930 hasConcept C41008148 @default.
- W4315694930 hasConcept C42475967 @default.
- W4315694930 hasConcept C524204448 @default.
- W4315694930 hasConcept C61797465 @default.
- W4315694930 hasConcept C62520636 @default.
- W4315694930 hasConcept C71924100 @default.
- W4315694930 hasConceptScore W4315694930C116675565 @default.
- W4315694930 hasConceptScore W4315694930C119857082 @default.
- W4315694930 hasConceptScore W4315694930C121332964 @default.
- W4315694930 hasConceptScore W4315694930C142724271 @default.
- W4315694930 hasConceptScore W4315694930C144024400 @default.
- W4315694930 hasConceptScore W4315694930C149923435 @default.
- W4315694930 hasConceptScore W4315694930C154945302 @default.
- W4315694930 hasConceptScore W4315694930C159047783 @default.
- W4315694930 hasConceptScore W4315694930C17744445 @default.
- W4315694930 hasConceptScore W4315694930C191935318 @default.
- W4315694930 hasConceptScore W4315694930C199539241 @default.
- W4315694930 hasConceptScore W4315694930C205649164 @default.
- W4315694930 hasConceptScore W4315694930C2779134260 @default.
- W4315694930 hasConceptScore W4315694930C3006700255 @default.
- W4315694930 hasConceptScore W4315694930C3007834351 @default.
- W4315694930 hasConceptScore W4315694930C3008058167 @default.
- W4315694930 hasConceptScore W4315694930C33923547 @default.
- W4315694930 hasConceptScore W4315694930C41008148 @default.
- W4315694930 hasConceptScore W4315694930C42475967 @default.
- W4315694930 hasConceptScore W4315694930C524204448 @default.
- W4315694930 hasConceptScore W4315694930C61797465 @default.
- W4315694930 hasConceptScore W4315694930C62520636 @default.
- W4315694930 hasConceptScore W4315694930C71924100 @default.
- W4315694930 hasLocation W43156949301 @default.
- W4315694930 hasOpenAccess W4315694930 @default.
- W4315694930 hasPrimaryLocation W43156949301 @default.
- W4315694930 hasRelatedWork W2748952813 @default.
- W4315694930 hasRelatedWork W2899084033 @default.
- W4315694930 hasRelatedWork W3009669391 @default.
- W4315694930 hasRelatedWork W3036314732 @default.
- W4315694930 hasRelatedWork W4200063625 @default.
- W4315694930 hasRelatedWork W4205317059 @default.
- W4315694930 hasRelatedWork W4206669628 @default.
- W4315694930 hasRelatedWork W4308496516 @default.
- W4315694930 hasRelatedWork W3125648376 @default.
- W4315694930 hasRelatedWork W3127156785 @default.
- W4315694930 isParatext "false" @default.
- W4315694930 isRetracted "false" @default.
- W4315694930 workType "article" @default.