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Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis
Research article (ISA Transactions, 2022) · cited 154× · AI/ML
Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis
Summary
Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis is a scholarly article[1].
Key Facts
Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis's instance of is recorded as scholarly article[2].
References
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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). Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/selective-kernel-convolution-deep-residual-network-based-on-channel-spatial-attention-mechanism-and-feature-fusion-for-m
MLA“Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/selective-kernel-convolution-deep-residual-network-based-on-channel-spatial-attention-mechanism-and-feature-fusion-for-m.
BibTeX@misc{4ortxyz_selective-kernel-convolution-deep-residual-network-based-on-channel-spatial-attention-mechanism-and-feature-fusion-for-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/selective-kernel-convolution-deep-residual-network-based-on-channel-spatial-attention-mechanism-and-feature-fusion-for-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Selective kernel convolution deep residual network based on channel-spatial attention mechanism and feature fusion for mechanical fault diagnosis — https://4ort.xyz/entity/selective-kernel-convolution-deep-residual-network-based-on-channel-spatial-attention-mechanism-and-feature-fusion-for-m (retrieved 2026-05-24)
