Smart and Sustainable Technology for Resilient Cities and Communities
Springer Singapore
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Mendeley readers
| Chapter title |
Forecasting the COVID-19 Spread in Iran, Italy, and Mexico Using Novel Nonlinear Autoregressive Neural Network and ARIMA-Based Hybrid Models
|
|---|---|
| Chapter number | 9 |
| Book title |
Smart and Sustainable Technology for Resilient Cities and Communities
|
| Published by |
Springer, Singapore, January 2022
|
| DOI | 10.1007/978-981-16-9101-0_9 |
| Book ISBNs |
978-9-81-169100-3, 978-9-81-169101-0
|
| Authors |
Amin Naemi, Mostafa Naemi, Romina Zarrabi Ekbatani, Thomas Schmidt, Ali Ebrahimi, Marjan Mansourvar, Uffe Kock Wiil, Naemi, Amin, Naemi, Mostafa, Ekbatani, Romina Zarrabi, Schmidt, Thomas, Ebrahimi, Ali, Mansourvar, Marjan, Wiil, Uffe Kock |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 100% |