Recursive stacked leakynet-based compartmental model for analysis of COVID-19 transmission dynamics
Soumya Jyoti Raychaudhuri and C. Narendra Babu
Year of publication: |
2023
|
---|---|
Authors: | Raychaudhuri, Soumya Jyoti ; Narendra Babu, C. |
Published in: |
Journal of information & knowledge management : JIKM. - Singapore : World Scientific Publ., ISSN 0219-6492, ZDB-ID 2115864-2. - Vol. 22.2023, 5, Art.-No. 2350020, p. 1-23
|
Subject: | Compartmental models | convolutional neural network (CNN) | deep learning | epidemiological models | mathematical modelling | optimiser | pandemic forecast | ResNet | time series | VGGNet | Coronavirus | Neuronale Netze | Neural networks | Epidemie | Epidemic | Theorie | Theory | Prognoseverfahren | Forecasting model | Mathematische Optimierung | Mathematical programming | Zeitreihenanalyse | Time series analysis | Modellierung | Scientific modelling |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Dilated convolutional neural networks for time series forecasting
Borovykh, Anastasia, (2019)
-
Perla, Someswari, (2023)
-
Stochastic epidemic modeling with application to the Sars-Cov-2 pandemic in Italy
Arbia, Giuseppe, (2021)
- More ...
Similar items by person
-
Patnaik, Sudhir Kumar, (2022)
- More ...