Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-61913-8_5
Reference5 articles.
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2. V.K.R. Chimmula, L. Zhang, Time series forecasting of COVID-19 transmission in Canada using LSTM networks. Chaos Solitons Fractals 135 (2020). issn: 09600779. https://doi.org/10.1016/j.chaos.2020.109864
3. Keras: the Python deep learning API (n.d.) (2020). https://keras.io/. (Accessed on 08/16/2020)
4. E. Ledell, S. Poirier, H2O AutoML: Scalable Automatic Machine Learning (2020) https://scinet.usda.gov/user/geospatial/
5. A. Zubair, Muhammad et al., Performance Evaluation Of Supervised Machine Learning Techniques For Efficient Detection Of Emotions From Online Content Design Optimization of Electric Machines View project Business Modeling View project Performance Evaluation Of Supervised Machine Learning Techniques For Efficient Detection Of Emotions From Online Content (2020). https://doi.org/10.32604/cmc.2020.xxxxx. www.techscience.com/journal/cmc
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