[1] Tsokos, C. P., & Xu, Y. (2009). Modeling carbon dioxide emissions with a system of differential equations. Nonlinear Analysis-Theory Methods & Applications, 71(12), E1182-E1197.
[2] Lu, Z. L., Zhenwei, & Wang, H. L. (2016). The application of regression analysis and differential equation models in the prediction
of indoor PM2.5 concentration. Journal of Residuals Science & Technology, 13(1), 325-328.
[3] Tiwari, J. L., & Hobbie, J. E. (1976). Random differential equations as models of ecosystems .2. Initial condition and parameter
specifications in terms of maximum entropy distributions. Mathematical Biosciences, 31(1-2), 37-53.
[4] Liu, Y. L., Chen, C., Alotaibi, R., & Shorman, S. M. (2022). Study on audio-visual family restoration of children with mental disorders based on the mathematical model of fuzzy comprehensive evaluation of differential equation. Applied Mathematics and Nonlinear
Sciences, 7(2), 307-314.
[5] Kafle, R. C., Pokhrel, K. P., Khanal, N., & Tsokos, C. P. (2019). Differential equation model of carbon dioxide emission using functional linear regression. Journal of Applied Statistics, 46(7), 1246-1259.
[6] Cai, W. G., & Pan, J. F. (2017). Stochastic differential equation models for the price of European CO2 emissions allowances. Sustainability, 9(2), 207.
