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Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples
Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples
Summary
Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples is a scholarly article[1].
Key Facts
Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples'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). Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-method-based-on-self-calibrated-coordinate-attention-mechanism-and-multi-scale-convoluti
MLA“Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-method-based-on-self-calibrated-coordinate-attention-mechanism-and-multi-scale-convoluti.
BibTeX@misc{4ortxyz_rolling-bearing-fault-diagnosis-method-based-on-self-calibrated-coordinate-attention-mechanism-and-multi-scale-convoluti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples}}, year = {2026}, url = {https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-method-based-on-self-calibrated-coordinate-attention-mechanism-and-multi-scale-convoluti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples — https://4ort.xyz/entity/rolling-bearing-fault-diagnosis-method-based-on-self-calibrated-coordinate-attention-mechanism-and-multi-scale-convoluti (retrieved 2026-05-24)
