Article

Entropy Optimization in Magnetic Blood-Based Fe₃O₄–Ti Hybrid Nanofluid Flow Using Machine Learning for Biomedical Engineering Applications

2025-11-12

Abstract excerpt

<title>Abstract</title> <p> In modern times, machine learning (ML) methodologies have surfaced as advanced instruments to tackle intricate issues, enhance processes, and derive significant insights from extensive datasets, especially within the domain of fluid dynamics. This research utilizes an artificial neural network (ANN) model, trained on extensive datasets produced via computational fluid dynamics (CFD) s...

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Literature Corpus work: edb72ac9-80e9-50d2-bb80-c9c106714c17
DOI: 10.21203/rs.3.rs-7867333/v1

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Entropy Optimization in Magnetic Blood-Based Fe₃O₄–Ti Hybrid Nanofluid Flow Using Machine Learning for Biomedical Engineering ApplicationsDOI 10.21203/rs.3.rs-7867333/v1Read

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