Y. Bayraktar Et Al. , "Analyzing of Alzheimer's Disease Based on Biomedical and Socio-Economic Approach Using Molecular Communication, Artificial Neural Network, and Random Forest Models," SUSTAINABILITY , vol.14, no.13, 2022
Bayraktar, Y. Et Al. 2022. Analyzing of Alzheimer's Disease Based on Biomedical and Socio-Economic Approach Using Molecular Communication, Artificial Neural Network, and Random Forest Models. SUSTAINABILITY , vol.14, no.13 .
Bayraktar, Y., Isik, E., IŞIK, İ., ÖZYILMAZ, A., Toprak, M., Kahraman Guloglu, F., ... Aydin, S.(2022). Analyzing of Alzheimer's Disease Based on Biomedical and Socio-Economic Approach Using Molecular Communication, Artificial Neural Network, and Random Forest Models. SUSTAINABILITY , vol.14, no.13.
Bayraktar, Yuksel Et Al. "Analyzing of Alzheimer's Disease Based on Biomedical and Socio-Economic Approach Using Molecular Communication, Artificial Neural Network, and Random Forest Models," SUSTAINABILITY , vol.14, no.13, 2022
Bayraktar, Yuksel Et Al. "Analyzing of Alzheimer's Disease Based on Biomedical and Socio-Economic Approach Using Molecular Communication, Artificial Neural Network, and Random Forest Models." SUSTAINABILITY , vol.14, no.13, 2022
Bayraktar, Y. Et Al. (2022) . "Analyzing of Alzheimer's Disease Based on Biomedical and Socio-Economic Approach Using Molecular Communication, Artificial Neural Network, and Random Forest Models." SUSTAINABILITY , vol.14, no.13.
@article{article, author={Yuksel Bayraktar Et Al. }, title={Analyzing of Alzheimer's Disease Based on Biomedical and Socio-Economic Approach Using Molecular Communication, Artificial Neural Network, and Random Forest Models}, journal={SUSTAINABILITY}, year=2022}