Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media

Research article (International Journal of Heat and Mass Transfer, 2021) · cited 33× · AI/ML
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Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media

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Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media is a scholarly article[1].

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  • Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-the-efficiency-and-robustness-of-deep-convolutional-neural-networks-for-modeling-natural-convection-in-heterog
MLA “Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-the-efficiency-and-robustness-of-deep-convolutional-neural-networks-for-modeling-natural-convection-in-heterog.
BibTeX @misc{4ortxyz_analyzing-the-efficiency-and-robustness-of-deep-convolutional-neural-networks-for-modeling-natural-convection-in-heterog_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-the-efficiency-and-robustness-of-deep-convolutional-neural-networks-for-modeling-natural-convection-in-heterog}, note = {Accessed: 2026-05-24}}
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