التفاصيل البيبلوغرافية
| العنوان: |
Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods |
| بيانات النشر: |
Elsevier 2021-08-01 |
| تفاصيل مُضافة: |
Ayoobi, N
Sharifrazi, D
Alizadehsani, Roohallah
Shoeibi, A
Gorriz, JM
Moosaei, H
Khosravi, Abbas
Nahavandi, Saeid
Gholamzadeh Chofreh, A
Goni, FA
Klemeš, JJ
Mosavi, A |
| نوع الوثيقة: |
Electronic Resource |
| مصطلحات الفهرس: |
Bidirectional New Cases of COVID-19, Convolutional Long Short Term Memory (Conv-LSTM), COVID-19 Prediction, Deep learning, Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Machine learning, Materials Science, Materials Science, Multidisciplinary, MODEL, New Deaths of COVID-19, Physical Sciences, Physics, Physics, Multidisciplinary, Science & Technology, Technology, ANFIS, Adaptive Network-based Fuzzy Inference System, ANN, Artificial Neural Network, AU, Australia, Bi-Conv-LSTM, Bidirectional Convolutional Long Short Term Memory, Bi-GRU, Bidirectional Gated Recurrent Unit, Bi-LSTM, Bidirectional Long Short-Term Memory, Bidirectional, COVID-19, Coronavirus Disease 2019, Conv-LSTM, Convolutional Long Short Term Memory, DL, Deep Learning, DLSTM, Delayed Long Short-Term Memory, EMRO, Eastern Mediterranean Regional Office, ES, Exponential Smoothing, EV, Explained Variance, GRU, Gated Recurrent Unit, IR, Iran, LR, Linear Regression, LSTM, Long Short-Term Memory, Lasso, Least Absolute Shrinkage and Selection Operator, MAE, Mean Absolute Error, MAPE, Mean Absolute Percentage Error, MERS, Middle East Respiratory Syndrome, ML, Machine Learning, MLP-ICA, Multi-layered Perceptron-Imperialist Competitive Calculation, MSE, Mean Square Error, MSLE, Mean Squared Log Error, New Cases of COVID-19, PRISMA, Preferred Reporting Items for Precise Surveys and Meta-Analyses, RMSE, Root Mean Square Error, RMSLE, Root Mean Squared Log Error, RNN, Repetitive Neural Network, ReLU, Rectified Linear Unit, SARS, Serious Intense Respiratory Disorder, SARS-COV, SARS coronavirus, SARS-COV-2, Serious Intense Respiratory Disorder Coronavirus 2, SVM, Support Vector Machine, VAE, Variational Auto Encoder, WHO, World Health Organization, WPRO, Western Pacific Regional Office, Journal Article |
| URL: |
http://hdl.handle.net/10536/DRO/DU:30153247
http://doi.org/10.1016/j.rinp.2021.104495
http://elements.deakin.edu.au/viewobject.html?id=281876&cid=1
issn: 2211-3797
issn: 2211-3797
http://doi.org/10.1016/j.rinp.2021.104495
http://elements.deakin.edu.au/viewobject.html?id=281876&cid=1
Results in Physics |
| الإتاحة: |
Open access content. Open access content |
| ملاحظة: |
15 p.
English |
| أرقام أخرى: |
LD0 oai:dro.deakin.edu.au:DU:30153247
1321886127 |
| المصدر المساهم: |
DEAKIN UNIV
From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: |
edsoai.on1321886127 |
| قاعدة البيانات: |
OAIster |
