A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors

B. Bilmez *Et Al.* , "A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors," *NUCLEAR ENGINEERING AND TECHNOLOGY* , vol.54, no.1, pp.310-317, 2022

Bilmez, B. *Et Al.* 2022. A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors. *NUCLEAR ENGINEERING AND TECHNOLOGY* , *vol.54, no.1* , 310-317.

Bilmez, B., TOKER, O., ALP, S., ÖZ, E., & İÇELLİ, O., (2022). A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors. *NUCLEAR ENGINEERING AND TECHNOLOGY* , vol.54, no.1, 310-317.

Bilmez, Bayram *Et Al.* "A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors," *NUCLEAR ENGINEERING AND TECHNOLOGY* , vol.54, no.1, 310-317, 2022

Bilmez, Bayram *Et Al.* "A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors." *NUCLEAR ENGINEERING AND TECHNOLOGY* , vol.54, no.1, pp.310-317, 2022

Bilmez, B. *Et Al.* (2022) . "A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors." *NUCLEAR ENGINEERING AND TECHNOLOGY* , vol.54, no.1, pp.310-317.

@article{article, author={Bayram Bilmez *Et Al.* }, title={A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors}, journal={NUCLEAR ENGINEERING AND TECHNOLOGY}, year=2022, pages={310-317} }