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COVID-19 Trend Forecasting by Using Dropout - LSTM Model
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Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China,
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Weather and population based forecasting of novel COVID-19 using deep learning approaches
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A COVID-19 Infection Prediction Model in Egypt Based on Deep Learning Using Population Mobility Reports
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International Journal of Computational Intelligence Systems,
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Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound
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Revisiting COVID-19 Diagnosis From Cough Sound: A Hybrid CNN-LSTM Approach With Time-Stretch Augmentation
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