… to correct the results of GPCP and make direct predictions for countries … method provides
more accurate and reliable predictions of the spread of COVID-19, and we hope the method will …

… Global Prediction System for COVID-19, … parameters, we used a damped least-squares
method, the Levenberg–Marquardt algorithm, which is improved from the Gauss–Newton method …

… systems and economies of various countries. Therefore, the estimation and prediction of …
Based on the data from 2020 to 2022, we predict the number of new confirmed cases in the …

… Therefore, the purposes of this dissertation were: (i) to predict … and further implications
on COVID-19 pandemic and future vehicle … This systematic approach has achieved a better …

… This paper also estimates the number of … of COVID-19 in Wuhan from December 2019 to
March 2020. The results show that the method proposed in this paper can effectively estimate …

… They pointed out the maximum likelihood estimation is still … This analysis attempts to provide
data support on COVID-19 … The are there prediction picture, the standard we set is age of …

… the expected number of the newly infected and predicting the … Abstract After 2019 novel
cornavirus disease (COVID-19) … maximum likelihood estimation method to obtain estimators …

… The main objective of this study is to analyze COVID-19-related information using NLP
models and predict the traffic volume and air pollution levels during the pandemic. From the …

… 一种COVID‐19 病例个体时空轨迹交互式提取与质量评估方法 ⋅⋅⋅⋅⋅⋅⋅ 张国永龚建华孙麇
… Spatiotemporal Trajectory Extraction and Quality Evaluation Method for COVID‐19 Cases …

… accurate prediction when MSE is chosen as the loss function. Conclusion The spatiotemporal
data learning method in this study has lower operation cost and higher prediction accuracy…