المؤلفون: Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan M. Gorriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jiří Jaromír Klemeš, Amir Mosavi

المصدر: Results in Physics, Vol 27, Iss , Pp 104495- (2021)

مصطلحات موضوعية: Long Short Term Memory (LSTM), Convolutional Long Short Term Memory (Conv-LSTM), Gated Recurrent Unit (GRU), Bidirectional, New Cases of COVID-19, New Deaths of COVID-19, Physics, QC1-999

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2211379721006069; https://doaj.org/toc/2211-3797

URL الوصول: https://doaj.org/article/d9e17f45d5754df3a7016c1eec7a37fd

المؤلفون: Amir Mosavi, Afshin Shoeibi, Roohallah Alizadehsani, Saeid Nahavandi, Jirí Jaromír Klemeš, Juan Manuel Górriz, Abbas Khosravi, Hossein Moosaei, Abdoulmohammad Gholamzadeh Chofreh, Danial Sharifrazi, Feybi Ariani Goni, Nooshin Ayoobi

المصدر: Results in Physics, Vol 27, Iss, Pp 104495-(2021)
Results in Physics
Digibug. Repositorio Institucional de la Universidad de Granada
instname

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, EV, Explained Variance, SARS, Serious Intense Respiratory Disorder, Computer science, ANN, Artificial Neural Network, Computer Vision and Pattern Recognition (cs.CV), MERS, Middle East Respiratory Syndrome, Computer Science - Computer Vision and Pattern Recognition, General Physics and Astronomy, SVM, Support Vector Machine, 02 engineering and technology, EMRO, Eastern Mediterranean Regional Office, 01 natural sciences, Machine Learning (cs.LG), New Cases of COVID-19, COVID-19 Prediction, ES, Exponential Smoothing, 010302 applied physics, RMSLE, Root Mean Squared Log Error, Physics, MAE, Mean Absolute Error, ReLU, Rectified Linear Unit, 021001 nanoscience & nanotechnology, LR, Linear Regression, MSLE, Mean Squared Log Error, New Deaths of COVID-19, Lasso, Least Absolute Shrinkage and Selection Operator, RNN, Repetitive Neural Network, SARS-COV-2, Serious Intense Respiratory Disorder Coronavirus 2, ML, Machine Learning, COVID-19, Coronavirus Disease 2019, 0210 nano-technology, IR, Iran, VAE, Variational Auto Encoder, Bi-Conv-LSTM, Bidirectional Convolutional Long Short Term Memory, Long Short Term Memory (LSTM), Conv-LSTM, Convolutional Long Short Term Memory, Coronavirus disease 2019 (COVID-19), QC1-999, DLSTM, Delayed Long Short-Term Memory, GRU, Gated Recurrent Unit, Convolutional Long Short Term Memory (Conv-LSTM), Article, WHO, World Health Organization, COVID-19 prediction, Bi-GRU, Bidirectional Gated Recurrent Unit, 0103 physical sciences, Machine learning, AU, Australia, Operations management, Time series, Gated Recurrent Unit (GRU), SARS-COV, SARS coronavirus, WPRO, Western Pacific Regional Office, business.industry, Deep learning, DL, Deep Learning, Bidirectional, ANFIS, Adaptive Network-based Fuzzy Inference System, PRISMA, Preferred Reporting Items for Precise Surveys and Meta-Analyses, Bi-LSTM, Bidirectional Long Short-Term Memory, Cost reduction, MAPE, Mean Absolute Percentage Error, LSTM, Long Short-Term Memory, MSE, Mean Square Error, Artificial intelligence, business, MLP-ICA, Multi-layered Perceptron-Imperialist Competitive Calculation, RMSE, Root Mean Square Error

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dba63eeff5e6cf758b6c893826c1ea93
http://www.sciencedirect.com/science/article/pii/S2211379721006069

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