… to utilize the machine learning and deep learning models for epidemic analysis using data
from … The study can further be extended to utilize other machine learning and deep learning …

… announced COVID-19, an epidemic with an increased risk of harming … Therefore, the adoption
of Deep Learning (DL) technology … throughout the COVID-19 epidemic, which pushed the …

… The numerical analysis demonstrates that the hybrid deep learning … epidemic patterns
of various infectious diseases can be predicted using the proposed hybrid deep learning …

… This paper aims to analyse the distribution of the new crown epidemic at … epidemic by using
nuclear density analysis, a general kriging interpolation model for population density analysis…

… Deep learning techniques require handful of data to produce … Deep learning techniques
produce accurate prediction which … Our analysis reveals that expansion of testing facility is very …

… the epidemic. In this paper, we have developed a forecasting model of COVID-19 by using a
deep learning … In this section, experiments are performed to analyze the effectiveness of our …

… Deep Learning Epidemic Forecasting with Synthetic Information (DEFSI) is proposed in [46],
which is a more generalized and realizable epidemic … Using sequence-based analysis, the …

… in the data mining and machine learning communities. The temporal nature … , deep learning
techniques have not been explored in this domain. In this paper, we develop a deep learning …

… We briefly review related work in epidemic forecasting and deep learning pertinent to …
analysis on both simulated testing data and real ILI testing data and conduct sensitivity analysis on …

… epidemics such as influenza and Ebola pose a serious threat to global public health. It is
crucial to characterize the disease and the evolution of the ongoing epidemic … deep learning …