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Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection
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Ö. Açıkgöz Et Al. , "Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection," INTERNATIONAL JOURNAL OF THERMAL SCIENCES , vol.178, pp.1-14, 2022

Açıkgöz, Ö. Et Al. 2022. Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection. INTERNATIONAL JOURNAL OF THERMAL SCIENCES , vol.178 , 1-14.

Açıkgöz, Ö., Çolak, A. B., Camcı, M., Karakoyun, Y., & Dalkılıç, A. S., (2022). Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection. INTERNATIONAL JOURNAL OF THERMAL SCIENCES , vol.178, 1-14.

Açıkgöz, Özgen Et Al. "Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection," INTERNATIONAL JOURNAL OF THERMAL SCIENCES , vol.178, 1-14, 2022

Açıkgöz, Özgen Et Al. "Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection." INTERNATIONAL JOURNAL OF THERMAL SCIENCES , vol.178, pp.1-14, 2022

Açıkgöz, Ö. Et Al. (2022) . "Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection." INTERNATIONAL JOURNAL OF THERMAL SCIENCES , vol.178, pp.1-14.

@article{article, author={Özgen AÇIKGÖZ Et Al. }, title={Machine learning approach to predict the heat transfer coefficients pertaining to a radiant cooling system coupled with mixed and forced convection}, journal={INTERNATIONAL JOURNAL OF THERMAL SCIENCES}, year=2022, pages={1-14} }