Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Auzan Abirama Soedarmo"'
Publikováno v:
Day 4 Thu, May 04, 2023.
The emergence of "big data" has encouraged the utilization of data from various origins to enhance the decision-making process. Unfortunately, multiphase flow studies are often performed in "silos" – within which specific experiments were performed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd2a569951803c435a9e16eb91701f7d
https://doi.org/10.4043/32170-ms
https://doi.org/10.4043/32170-ms
Autor:
Auzan Abirama Soedarmo
Publikováno v:
Day 1 Mon, May 01, 2023.
Machine learning (ML) models offer intriguing alternatives for multiphase pipe flow simulations. Certain subsets of ML algorithms are computationally robust and may outperform physics-based models when applied within the training range. However, they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::075c31e8dc89b63e34917843d8125772
https://doi.org/10.4043/32527-ms
https://doi.org/10.4043/32527-ms