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Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction
Research article (Computer-Aided Civil and Infrastructure Engineering, 2024) · cited 11× · AI/ML
Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction
Summary
Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction is a scholarly article[1].
Key Facts
Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/integrating-spatial-and-channel-attention-mechanisms-with-domain-knowledge-in-convolutional-neural-networks-for-friction
MLA“Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integrating-spatial-and-channel-attention-mechanisms-with-domain-knowledge-in-convolutional-neural-networks-for-friction.
BibTeX@misc{4ortxyz_integrating-spatial-and-channel-attention-mechanisms-with-domain-knowledge-in-convolutional-neural-networks-for-friction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction}}, year = {2026}, url = {https://4ort.xyz/entity/integrating-spatial-and-channel-attention-mechanisms-with-domain-knowledge-in-convolutional-neural-networks-for-friction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integrating spatial and channel attention mechanisms with domain knowledge in convolutional neural networks for friction coefficient prediction — https://4ort.xyz/entity/integrating-spatial-and-channel-attention-mechanisms-with-domain-knowledge-in-convolutional-neural-networks-for-friction (retrieved 2026-05-24)
