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Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery
Research article (Expert Systems with Applications, 2024) · cited 56× · AI/ML
Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery
Summary
Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery is a scholarly article[1].
Key Facts
Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery'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). Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery. Retrieved May 24, 2026, from https://4ort.xyz/entity/attention-based-convnext-with-a-parallel-multiscale-dilated-convolution-residual-module-for-fault-diagnosis-of-rotating-
MLA“Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attention-based-convnext-with-a-parallel-multiscale-dilated-convolution-residual-module-for-fault-diagnosis-of-rotating-.
BibTeX@misc{4ortxyz_attention-based-convnext-with-a-parallel-multiscale-dilated-convolution-residual-module-for-fault-diagnosis-of-rotating-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery}}, year = {2026}, url = {https://4ort.xyz/entity/attention-based-convnext-with-a-parallel-multiscale-dilated-convolution-residual-module-for-fault-diagnosis-of-rotating-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Attention-based ConvNeXt with a parallel multiscale dilated convolution residual module for fault diagnosis of rotating machinery — https://4ort.xyz/entity/attention-based-convnext-with-a-parallel-multiscale-dilated-convolution-residual-module-for-fault-diagnosis-of-rotating- (retrieved 2026-05-24)
