A SSA-Based Attention-BiLSTM Model for COVID-19 Prediction
The Corona Virus Disease 2019 (COVID-19) has widely spread over the world and comes up with new challenges to the research community. Accurately predicting the number of new infections is essential for optimizing available resources and slowing the progression of such diseases. Long short-term memor...
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Published in | Neural Information Processing pp. 119 - 126 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
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Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
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