Precise Deep Learning Model for Predicting the Transport Properties of Nanofluids Applied to Enhancing Performance of Thermal Energy Systems
- DOI
- 10.1109/icaige58321.2023.10346403
- Published
- 2023-10-12
- Container
- 2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/icaige58321.2023.10346403,
title = {Precise Deep Learning Model for Predicting the Transport Properties of Nanofluids Applied to Enhancing Performance of Thermal Energy Systems},
author = {Lotfi Snoussi and Olfa Fakhfakh and Mohamed Ibn Khedher},
year = {2023},
journal = {2023 IEEE International Conference on Artificial Intelligence \& Green Energy (ICAIGE)},
doi = {10.1109/icaige58321.2023.10346403},
url = {https://doi.org/10.1109/icaige58321.2023.10346403}
}RIS
TY - JOUR TI - Precise Deep Learning Model for Predicting the Transport Properties of Nanofluids Applied to Enhancing Performance of Thermal Energy Systems AU - Lotfi Snoussi AU - Olfa Fakhfakh AU - Mohamed Ibn Khedher PY - 2023 JO - 2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE) DO - 10.1109/icaige58321.2023.10346403 UR - https://doi.org/10.1109/icaige58321.2023.10346403 ER -
APA
Snoussi, L., Fakhfakh, O., & Khedher, M. I. (2023). Precise Deep Learning Model for Predicting the Transport Properties of Nanofluids Applied to Enhancing Performance of Thermal Energy Systems. 2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE). https://doi.org/10.1109/icaige58321.2023.10346403
Source records
- crossref · retrieved 2026-09-25T22:55:46.743Z