E-LIB Suche - Ergebnisse für: Tatar, Afshin

1

Hydrogen solubility in different chemicals: A modelling app..:

Foroughizadeh, Pouyan ; Shokrollahi, Amin ; Tatar, Afshin.
Engineering Applications of Artificial Intelligence. 136 (2024) - p. 108978 , 2024

Link: https://doi.org/10.1016/..

2

Experiments on image data augmentation techniques for geolo..:

Tatar, Afshin ; Haghighi, Manouchehr ; Zeinijahromi, Abbas
Journal of Rock Mechanics and Geotechnical Engineering. , 2024

Link: https://doi.org/10.1016/..

3

Exploring the power of machine learning in analyzing the ga..:

Rayhani, Mahsheed ; Tatar, Afshin ; Shokrollahi, Amin.
Geoenergy Science and Engineering. 226 (2023) - p. 211778 , 2023

Link: https://doi.org/10.1016/..

4

Evaluation of phase equilibrium conditions of clathrate hyd..:

Behvandi, Reza ; Tatar, Afshin ; Shokrollahi, Amin.
Geoenergy Science and Engineering. 224 (2023) - p. 211634 , 2023

Link: https://doi.org/10.1016/..

5

A further study in the prediction of viscosity for Iranian ..:

Lashkenari, Mohammad Soleimani ; Bagheri, Mohammad ; Tatar, Afshin..
Neural Computing and Applications. 35 (2023) 14 - p. 10663-10676 , 2023

Link: https://doi.org/10.1007/..

6

Machine learning modelling of dew point pressure in gas con..:

Esmaeili-Jaghdan, Zohre ; Tatar, Afshin ; Shokrollahi, Amin..
Neural Computing and Applications. 36 (2023) 4 - p. 1973-1995 , 2023

Link: https://doi.org/10.1007/..

7

Connectionist Models for Asphaltene Precipitation Predictio..:

Tatar, Afshin ; Shafiei, Ali
Industrial & Engineering Chemistry Research. 62 (2023) 34 - p. 13281-13302 , 2023

Link: https://doi.org/10.1021/..

8

Prediction of asphaltene adsorption capacity of clay minera..:

Ghasemi, Mehdi ; Tatar, Afshin ; Shafiei, Ali.
The Canadian Journal of Chemical Engineering. 101 (2022) 5 - p. 2579-2597 , 2022

Link: https://doi.org/10.1002/..

9

Artificial neural network, support vector machine, decision..:

Shafiei, Ali ; Tatar, Afshin ; Rayhani, Mahsheed..
Journal of Petroleum Science and Engineering. 219 (2022) - p. 111046 , 2022

Link: https://doi.org/10.1016/..

10

Hydrogen solubility in n-alkanes: Data mining and modelling..:

Tatar, Afshin ; Esmaeili-Jaghdan, Zohre ; Shokrollahi, Amin.
International Journal of Hydrogen Energy. 47 (2022) 85 - p. 35999-36021 , 2022

Link: https://doi.org/10.1016/..

11

Dew point pressure of gas condensates, modeling and a compr..:

Mirzaie, Mohsen ; Esfandyari, Hamid ; Tatar, Afshin
Journal of Petroleum Science and Engineering. 211 (2022) - p. 110072 , 2022

Link: https://doi.org/10.1016/..

12

Asphaltene Precipitation Prediction during Bitumen Recovery..:

Yerkenov, Turar ; Tazikeh, Simin ; Tatar, Afshin.
ACS Omega. 7 (2022) 37 - p. 33123-33137 , 2022

Link: https://doi.org/10.1021/..

13

Asphaltene Precipitation Prediction during Bitumen Recovery..:

Yerkenov, Turar ; Tazikeh, Simin ; Tatar, Afshin.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494634/. , 2022

Link: http://www.ncbi.nlm.nih...

14

ASPHALTENE PRECIPITATION PREDICTION DURING BITUMEN RECOVERY..:

Yerkenov, Turar ; Tazikeh, Simin ; Tatar, Afshin.
Yerkenov, T., Tazikeh, S., Tatar, A., & Shafiei, A. (2022). Asphaltene Precipitation Prediction during Bitumen Recovery: Experimental Approach versus Population Balance and Connectionist Models. ACS Omega, 7(37), 33123–33137. https://doi.org/10.1021/acsomega.2c03249. , 2022

Link: http://nur.nu.edu.kz/han..

15

Data-Driven Connectionist Models for Performance Prediction..:

Tatar, Afshin ; Askarova, Ingkar ; Shafiei, Ali.
ACS Omega. 6 (2021) 47 - p. 32304-32326 , 2021

Link: https://doi.org/10.1021/..