Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow

Research article (Scientific Reports, 2020) · cited 43× · AI/ML
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Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow

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Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow. Retrieved May 24, 2026, from https://4ort.xyz/entity/functional-input-and-membership-characteristics-in-the-accuracy-of-machine-learning-approach-for-estimation-of-multiphas
MLA “Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/functional-input-and-membership-characteristics-in-the-accuracy-of-machine-learning-approach-for-estimation-of-multiphas.
BibTeX @misc{4ortxyz_functional-input-and-membership-characteristics-in-the-accuracy-of-machine-learning-approach-for-estimation-of-multiphas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow}}, year = {2026}, url = {https://4ort.xyz/entity/functional-input-and-membership-characteristics-in-the-accuracy-of-machine-learning-approach-for-estimation-of-multiphas}, note = {Accessed: 2026-05-24}}
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