首页|Study Data from University of Michigan Update Knowledge of Machine Learning (Mac hine Learning-Based Predictions of Flow and Heat Transfer Characteristics in a L id-Driven Cavity with a Rotating Cylinder)
Study Data from University of Michigan Update Knowledge of Machine Learning (Mac hine Learning-Based Predictions of Flow and Heat Transfer Characteristics in a L id-Driven Cavity with a Rotating Cylinder)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting out of Flint, Michigan, by NewsRx editors, research stated, “Machine learning-based predictions of heat tra nsfer characteristics in lid-driven cavities are transforming the field of compu tational fluid dynamics (CFD).”
University of MichiganFlintMichiganUnited StatesNorth and Central AmericaComputational Fluid DynamicsCyborgsEmerging TechnologiesFluid MechanicsMachine Learning
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