Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces
Summary
Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces is a scholarly article[1].
Key Facts
Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-of-an-interpretable-convolutional-neural-network-for-stress-concentration-prediction-in-rough-surfaces
MLA“Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-of-an-interpretable-convolutional-neural-network-for-stress-concentration-prediction-in-rough-surfaces.
BibTeX@misc{4ortxyz_design-of-an-interpretable-convolutional-neural-network-for-stress-concentration-prediction-in-rough-surfaces_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces}}, year = {2026}, url = {https://4ort.xyz/entity/design-of-an-interpretable-convolutional-neural-network-for-stress-concentration-prediction-in-rough-surfaces}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Design of an interpretable Convolutional Neural Network for stress concentration prediction in rough surfaces — https://4ort.xyz/entity/design-of-an-interpretable-convolutional-neural-network-for-stress-concentration-prediction-in-rough-surfaces (retrieved 2026-05-24)
