Feb 13, 2023 · Turbulence is a complex phenomenon that has a chaotic nature with multiple spatio-temporal scales, making predictions of turbulent flows a ...
Feb 13, 2023 · PDF | Turbulence is a complex phenomenon that has a chaotic nature with multiple spatio-temporal scales, making predictions of turbulent ...
Dec 1, 2023 · This study introduces a deep reinforcement learning-based flow control approach to enhance the efficiency of multiple plasma actuators on a ...
The deep learning-based model is proposed to detect hydrogen-induced damages. •. The proposed model with semi-automated labeling detects the damage with an ...
Nov 20, 2023 · This work investigated the partition walls or baffles' effects on hydraulic parameters and water retention time in a reservoir.
Aug 2, 2023 · This study proposes a novel deep-learning-based method for generating reduced representations of turbulent flows that ensures efficient ...
Mar 7, 2024 · This study considers the use of convolutional neural networks (CNNs) to achieve efficient data storage and estimation of scientific big data ...
Dec 30, 2023 · PDF | This work investigated the partition walls or baffles' effects on hydraulic parameters and water retention time in a reservoir.
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