Jahaninasab, M.; Taheran, E.; Zarabadi, S.A.; Aghaei, M.; Rajabpour, A.
A Novel Approach for Reducing Feature Space Dimensionality and Developing a Universal Machine Learning Model for Coated Tubes in Cross-Flow Heat Exchangers. Energies 2023, 16, 5185.
https://doi.org/10.3390/en16135185
AMA Style
Jahaninasab M, Taheran E, Zarabadi SA, Aghaei M, Rajabpour A.
A Novel Approach for Reducing Feature Space Dimensionality and Developing a Universal Machine Learning Model for Coated Tubes in Cross-Flow Heat Exchangers. Energies. 2023; 16(13):5185.
https://doi.org/10.3390/en16135185
Chicago/Turabian Style
Jahaninasab, Mahyar, Ehsan Taheran, S. Alireza Zarabadi, Mohammadreza Aghaei, and Ali Rajabpour.
2023. "A Novel Approach for Reducing Feature Space Dimensionality and Developing a Universal Machine Learning Model for Coated Tubes in Cross-Flow Heat Exchangers" Energies 16, no. 13: 5185.
https://doi.org/10.3390/en16135185
APA Style
Jahaninasab, M., Taheran, E., Zarabadi, S. A., Aghaei, M., & Rajabpour, A.
(2023). A Novel Approach for Reducing Feature Space Dimensionality and Developing a Universal Machine Learning Model for Coated Tubes in Cross-Flow Heat Exchangers. Energies, 16(13), 5185.
https://doi.org/10.3390/en16135185
