Review of modeling schemes and machine learning algorithms for fluid rheological behavior analysis
Irfan Bahiuddin,
Saiful Amri Mazlan,
Fitrian Imaduddin
et al.
Abstract:Machine learning’s prowess in extracting insights from data has significantly advanced fluid rheological behavior prediction. This machine-learning-based approach, adaptable and precise, is effective when the strategy is appropriately selected. However, a comprehensive review of machine learning applications for predicting fluid rheology across various fields is rare. This article aims to identify and overview effective machine learning strategies for analyzing and predicting fluid rheology. Covering flow curv… Show more
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