Sattari, M. T. Et Al. 2020. Potential of kernel and tree-based machine-learning models for estimating missing data of rainfall. Engineering Applications of Computational Fluid Mechanics , vol.14, no.1 , 1078-1094.

Sattari, M. T., Falsafian, K., İRVEM, A., S, S., & Qasem, S. N., (2020). Potential of kernel and tree-based machine-learning models for estimating missing data of rainfall. Engineering Applications of Computational Fluid Mechanics , vol.14, no.1, 1078-1094.

Sattari, Mohammad Et Al. "Potential of kernel and tree-based machine-learning models for estimating missing data of rainfall," Engineering Applications of Computational Fluid Mechanics , vol.14, no.1, 1078-1094, 2020

Sattari, Mohammad T. Et Al. "Potential of kernel and tree-based machine-learning models for estimating missing data of rainfall." Engineering Applications of Computational Fluid Mechanics , vol.14, no.1, pp.1078-1094, 2020

Sattari, M. T. Et Al. (2020) . "Potential of kernel and tree-based machine-learning models for estimating missing data of rainfall." Engineering Applications of Computational Fluid Mechanics , vol.14, no.1, pp.1078-1094.

@article{article, author={Mohammad Taghi Sattari Et Al. }, title={Potential of kernel and tree-based machine-learning models for estimating missing data of rainfall}, journal={Engineering Applications of Computational Fluid Mechanics}, year=2020, pages={1078-1094} }